• AI coding startup Cogniton is fielding offers for a new funding round.
• The round could value Cognition between $70 billion and $80 billion, according to people familiar with the matter.
• The new offers come weeks after the company announced a $2 billion round at a $48 billion valuation.

Just weeks after announcing a new round of funding at a $48 billion valuation, AI coding startup Cognition is fielding new investor interest at a much higher price.

The startup has received offers valuing it at between $70 billion and $80 billion and is seriously considering a round before the end of the year, according to sources familiar with the matter.

The talks around the financing are still early, and valuation targets could still change.

Founded in 2023 by Scott Wu, Steven Hao, and Walden Yan, Cognition is best known for Devin, an AI coding agent designed to automate software engineering tasks. The San Francisco-based company's existing investors include a16z, Accel, Founders Fund, Khosla Ventures, Elad Gil, and Pear VC.

Cognition's rapid valuation climb underscores the investor frenzy around AI coding, one of the hottest and most competitive corners of the AI market. As companies race to sell AI coding agents that can take on more of the work engineers do, investors are placing increasingly expensive bets on the few startups they think could emerge as leaders.

A $75 billion valuation wouldn't be so far-fetched, as SpaceX just acquired fellow AI coding giant Cursor for $60 billion a few months ago.

Last month, Cognition was drawn into a public feud with rival Factory AI, which accused Cognition employees of posing as job applicants to seek product information and faulted a former Factory adviser for meeting with Cognition executives. Cognition and the former adviser denied that confidential information was sought or shared.

Got a tip? Email Katie anytime or contact her on Signal at kroof.26. Sign up for Business Insider's weekly VC Insider newsletter here.

Alexander Gromov explains why Europe’s savings market remains fragmented, how PickTheBank gives customers access to licensed banks and higher savings rates without holding their money, and why Cyprus is the company’s immediate priority.

PickTheBank started in 2022 as a comparison platform for European savings products. Today, you have expanded into a platform where customers can also apply for and manage deposits with selected partner banks. What drove this evolution, and what have you learned about the needs of European savers?

PickTheBank began with a personal question: where should I keep my savings to earn a better return without unnecessary risk? In 2023, we launched a comparison platform covering rates from almost every retail bank in Europe. It quickly gained popularity, especially in Western Europe.

We learned comparison alone was not enough, particularly for us in Cyprus. Knowing a better rate exists abroad differs from being able to access it. Customers need a familiar language, effective onboarding and confidence their money goes directly to a licensed bank.

That is why, in 2025, with Lidion Bank in Malta, we expanded into customer onboarding and fixed-term deposit management. Today, thousands use PickTheBank to find, apply for and manage savings products.

The lesson is simple: people want competitive rates, convenience and local support. A European deposit should be as easy to open and manage as one at home.

Europe has a single market, but banking and savings remain highly fragmented across national borders. What are the biggest barriers preventing Europeans from accessing savings products in other EU countries, and how is PickTheBank trying to remove that friction?

Europe has a single banking market on paper, but savings remain largely national. Customers in Cyprus may never discover or access competitive banks in Germany, Italy, Malta or the Baltics, while banks face significant costs to localise products, onboarding, support, marketing and operations country by country.

This creates major differences in rates for similar euro deposits. Some European markets currently offer returns of up to 3.5 per cent in EUR, while many customers in Cyprus earn very little, allowing inflation to reduce their savings’ real value.

This fragmentation has a real cost. Average household deposit rates in Cyprus remain among the euro area’s lowest, while statistics indicate that the average Cypriot holds around €30,000 in banks. If €30,000 earns 0–1 per cent locally instead of 3.5 per cent, the annual difference is approximately €750–€1,050.

PickTheBank bridges this gap through a familiar localised interface, while helping partner banks reach new markets without rebuilding their customer-facing infrastructure.

Trust is critical when a fintech company is helping people make decisions about their savings. How does the PickTheBank model work in practice, particularly around regulation, customer funds, deposit protection, and relationships with partner banks? How do you convince customers to look beyond their traditional local bank?

First, customers choose PickTheBank to diversify their savings. Those with larger balances may not want everything in one institution. Since eligible deposits are generally protected up to €100,000 per depositor, per bank, accessing additional banks can reduce concentration risk and make better use of deposit protection.

Second, PickTheBank is a service partner to licensed banks, not a bank, and never holds customer funds. The partner bank provides the deposit, holds the contractual relationship and receives the money after approval. PickTheBank provides technology, onboarding, a localised interface and support, while the banking product, funds and deposit protection remain with the bank. This aligns with customers’ desire to keep savings with banks rather than a fintech that invests or reallocates them.

Third, thousands of customers have used PickTheBank, and millions of euros have been placed with partner banks, demonstrating demand for competitive rates, diversification, transparency and bank-held savings.

PickTheBank is headquartered in Limassol but is addressing a European market. What are your priorities for the next 12–24 months? Are you planning to add more partner banks, markets or financial products, and are there any new partnerships, investment plans or announcements you can share with us?

Our priorities are focused on two areas.

First, we see strong organic demand in Cyprus. Over the next 12 months, we plan to localise the product further and focus more of our marketing efforts here. PickTheBank started from a problem we experienced ourselves, and we are excited to bring more value and a broader range of savings options to customers in Cyprus.

Second, we are working on adding new partner banks. We hope that already this autumn Cypriot customers will be able to access a second partner bank through PickTheBank, giving them more choice, better diversification and access to a wider range of competitive deposit rates.

Our longer-term ambition remains European: one familiar platform, available in local languages, where customers can preserve and grow their savings with licensed banks across the EU.

About PickTheBank

PickTheBank is a European savings platform based in Cyprus. It helps customers compare savings products, apply for and manage partner bank fixed-term deposits through a localised digital interface.

PickTheBank acts as a service partner to licensed banks and never holds customer funds. Customers transfer funds directly to the relevant bank.

Learn more: pickthebank.eu

About Lidion Bank

Lidion Bank plc is a credit institution registered in Malta and licensed by the Malta Financial Services Authority, or MFSA.

The bank combines traditional banking services with digital solutions, including financing, cash management, treasury operations and multi-currency services. Lidion Bank serves retail depositors with the support of PickTheBank.

Learn more: lidionbank.com

Media Contact

PickTheBank Email: info@pickthebank.eu Website: pickthebank.eu

• Dalet Labs, an AI commerce startup, is coming out of stealth mode with a $7 million pre-seed round.
• It's launching a new app called Scene, where you can scroll through shoppable, AI-generated images.
• Read the 5-page pitch deck the startup used to raise capital — months before finalizing its product.

Would you shop from a feed of AI-generated images?

The startup Dalet Labs is betting you will.

The AI-commerce company exclusively told CMO Insider that it raised a $7 million pre-seed round led by Lightspeed Venture Partners and is launching its first product, a shopping app called Scene.

Founded by Omer Bar-Tal in 2025 after he left the AI video startup Runway, Dalet Labs recently came out of stealth mode. The startup raised its pre-seed in late 2025, before finalizing its product road map. In addition to Lightspeed, venture capital firm SV Angel and individual angel investors participated in the round.

Lisa Han, the Lightspeed partner who led the round, said that Bar-Tal has a combination of "video AI research expertise" and a "deep understanding of what consumers want."

Scene, which became available on the Apple App Store in the US on Wednesday, lets people scroll through a feed of shoppable AI-generated images. The app will be invite-only at launch, and isn't yet available on Android. While the images of people or scenes are AI-generated, the products themselves come from real brands across categories like fashion, home decor, and sports.

Bar-Tal envisions Scene as a tool people can turn to when they want to buy something but are still uncertain about exactly what they have in mind. It's similar to scrolling through Pinterest or TikTok in hopes of being inspired to buy something, but Bar-Tal said there's a key difference: You come to Scene to shop, not be entertained.

Bar-Tal sees Scene as a virtual "mall" where users can window-shop, save items to their cart, and make purchases.

Commerce has become an increasingly attractive use case for AI tools like chatbots and agents (including Meta's Muse). However, Bar-Tal argues that AI shopping tools are missing something.

"AI is amazing when you know what you want, but it's really important to actually have an ability to discover and to see things," Bar-Tal said. Agentic commerce, he added, "misses the point in shopping — which is essentially a delightful experience."

As a Scene user scrolls and interacts with products linked in the app, the feed adapts to what type of brands or items the user is interested in. Then, Scene uses AI to generate scenes with people wearing or using those items.

Bar-Tal did not comment on which third-party models Dalet Labs uses.

Bar-Tal said Dalet Labs doesn't see its product as replacing influencers, but rather as "complementary."

"The content here is AI, but it is not aiming to replace creators because we are not aiming to create entertainment," he said.

However, even if Scene isn't competing with influencers for entertaining content, it's still competing with their business model: making money by promoting brands' products and ultimately driving sales.

Scene has a catalog of hundreds of brands and retailers, Bar-Tal said, and is making more partnerships. The company did not share further details on what brands Dalet Labs has already established relationships with.

Bar-Tal said the company is also leveraging affiliate marketing to monetize the app early on, working with affiliate networks to earn from each in-app transaction.

Dalet Labs' Scene is entering a crowded market of apps offering people ways to discover brands and goods, like TikTok's growing Shop presence in the US or Pinterest's visual search prowess. Startups like Doji and Alta have also raised millions on the promise of tech that lets people try on clothes using AI-generated versions of themselves.

How will Dalet Labs get people to download an entirely new app?

Using influencers and social media to promote the app will be a core part of Dalet Labs' user acquisition plan. It also plans to roll out a coupon campaign during the holidays, offering new users discounts on purchases made through the Scene app. Bar-Tal didn't share whether the discounts would be funded by Scene or by brand partners.

The New York-based startup, meanwhile, is using its pre-seed funding to hire more engineers and researchers to build out Scene.

Read the 5-page pitch deck Dalet Labs used to raise its $7 million pre-seed:

The deck starts with background on the technology

Here's what the slide says:

For over half a century, every major shift in computing has been driven by an interface revolution.

The move from terminals to graphical user interfaces (GUIs) transformed computers from expert tools into mass-market products.

The rise of the web and mobile extended that pattern: each new medium made digital interaction more visual, intuitive, and consumable.

Text, by nature, demands active cognitive effort; Visual interfaces go a step further by allowing users to grasp high bandwidth information almost instantly with minimal cognitive effort.

Then it explains Dalet Labs' thesis

Here's what the slide says:

Today, artificial intelligence represents the most profound computing shift since the PC. Yet, paradoxically, our interface to AI remains stuck in the terminal era.

We converse with models through text prompts and receive text streams in return in synchronous manner. Our product thesis is simple and inevitable: AI requires a native GUI.

We believe the GUI to AI will not be code-based, but rather generated by media models.

It then outlines the competition

Here's what the slide says:

The core product of AI consumption platforms is inseparable from their textual chat interfaces.

For example, the OpenAI brand is strictly associated with the chat interface of ChatGPT.

Moreover, by decoupling the user interface from any specific model provider, we can integrate multiple frontier models (OpenAI, Anthropic, Google, or open-source systems) and focus our innovation on the new media generation GUI platform. This modularity becomes increasingly valuable as AI models are commoditized. In addition, their technical stacks are anchored in the code generation paradigm, in contrast to our focus on Media Models.

Finally, it introduces Dalet Labs' founder

Here's what the slide says:

Omer Bar-Tal

• Research experience from Weizmann Institute.

  • Built the first method for editing real-world videos using text
  • Papers in CVPR, ECCV, ICML, ICLR etc.
• Trained video foundation models (Google, Pika, Runway)
• Built creative applications with media models (eg video editing, reference-to-video, etc.)
• Led applied research teams and product launches

In this interview, Redox One outlines its technology, progress towards commercial deployment and international ambitions. It also explains why Cyprus, home to its headquarters, could become an early market and demonstration base for wider regional adoption.

From development to deployment

Redox One was established in 2022 by Tharisa plc to develop iron-chromium redox flow battery technology for safe, sustainable and cost-effective energy storage.

Building on Tharisa’s expertise in chromium production, mining, metallurgy and chemical processing, the company was created to address one of the most significant challenges of the energy transition: storing renewable energy reliably at scale.

A key strength is our vertically integrated approach, spanning chromium resources, electrolyte production and complete energy storage systems. This provides greater control over quality, supply security, cost and long-term scalability.

One of our biggest challenges has been moving from technology development to fully integrated, real-world energy storage systems. Important milestones include the successful operation of demonstration systems at our European Technology Centre in Germany and the development of a 625 kWh demonstration system in China.

Our next focus is advancing larger demonstration projects and progressing towards commercial deployments that can support renewable energy growth worldwide.

Storage built for duration

Our iron-chromium redox flow battery technology is designed to transform intermittent renewable energy into dependable, dispatchable power. It complements lithium-ion batteries by addressing applications that require longer-duration storage, high utilisation rates and long operating lifetimes.

The technology uses abundant materials such as iron and chromium and is engineered for decades of operation with minimal capacity degradation.

Safety is a major advantage. The system uses a water-based, non-flammable electrolyte that eliminates the thermal runaway risks associated with conventional lithium-ion batteries.

Flow batteries also offer significant economic benefits for long-duration storage because power and energy capacity can be scaled independently. Extending storage duration primarily requires additional electrolyte and storage tanks rather than a complete battery system expansion.

From a sustainability perspective, the electrolyte can be reused and recycled, while the battery chemistry relies on widely available materials. Together, these attributes create a safe, sustainable and cost-effective solution for large-scale energy storage.

International growth

Our commercialisation strategy is international from the outset. We are advancing the technology through demonstration projects and strategic partnerships across Europe, China and South Africa, while engaging with utilities, industrial customers, renewable energy developers and technology partners.

Our immediate priority is to validate demonstration systems and use operational data to support larger commercial projects. We see strong opportunities in mining, industrial, utility-scale and renewable energy applications where long-duration storage can improve reliability, flexibility and asset utilisation.

Our connection to Tharisa provides access to critical raw materials and metallurgical expertise, enabling participation across the value chain, from electrolyte production to complete energy storage systems.

Cyprus could potentially play an important role as a gateway to Southern Europe, the Eastern Mediterranean and the Middle East. Over the next three to five years, our goal is to develop a growing portfolio of commercial installations and establish scalable manufacturing and supply-chain partnerships.

Cyprus as an early market

Cyprus is home to our headquarters and an important part of our long-term growth strategy. As an island electricity system with abundant solar resources, it faces many of the challenges that long-duration energy storage is designed to solve.

Our technology can store excess renewable electricity during periods of strong solar generation and deliver it when demand exceeds supply. This improves grid flexibility, reduces renewable energy curtailment, enhances energy security and helps lower reliance on imported fuels.

We believe Cyprus could become an important early market for sustainable energy storage and a valuable demonstration platform for wider deployment across Southern Europe and the Eastern Mediterranean.

More broadly, Cyprus has the potential to strengthen its position as a regional deep-tech and clean-energy hub. Faster pathways for demonstration projects, targeted funding programmes and closer collaboration between government, industry, universities and investors would encourage more innovation-led companies to establish and expand their operations on the island.

redoxone.com

Cyprus has the potential to become a regional innovation hub, but turning that ambition into globally successful companies will require startups to look beyond the domestic market, stronger corporate partnerships and easier access to international customers and investors.

In an exclusive interview with the Cyprus Mail, director at Plug and Play Cyprus, Filippos Kyprianou, discussed how the global innovation platform is connecting Cypriot founders with more than 600 corporations across over 60 locations, while helping them develop the commercial skills needed to scale internationally.

He also examined the role of local corporate partners, the challenges facing startups and what success should look like over the next five years.

Plug and Play has a global network spanning more than 60 locations. What does bringing that network to Cyprus mean in practical terms for a startup based on the island, and what can founders access through Plug and Play that they could not easily access before?

In practical terms it means a founder in Limassol is one introduction away from a decision-maker at a bank in Frankfurt or a shipping company in Singapore. Plug and Play works with more than 600 corporations across 60-plus locations, and those are not logos on a wall. They are relationships where the corporate has a team, a budget and a mandate to work with startups. Until now a Cypriot founder who wanted that kind of conversation had to get on a plane and hope.

The second thing is people. Every week of the programme we bring in mentors from across the network: operators who have scaled companies, investors, people who have run innovation inside large corporations. They would not normally be in Cyprus on a Tuesday morning, and our founders get time with them, one to one, on whatever is actually broken that week.

The third is capital. Plug and Play’s venture arm is one of the most active early-stage investors in the world. It hasn’t invested in Cyprus yet but our investment team sees every company that comes through the programme, and we want the first Cypriot startup in the portfolio to be the first of many.

None of it costs the founder anything. We take no equity, and the programme is covered through the Research and Innovation Foundation’s voucher scheme. And we are not here only for the ten companies in a cohort. The centre is a front door for the whole ecosystem. If you are a founder in Cyprus and need to reach a corporate or an investor in our network, come and talk to us.

The Cyprus centre has been developed through cooperation between Plug and Play, the government, the Research and Innovation Foundation and corporate partners. How important is that collaboration to building a sustainable ecosystem, what does it look like in practice, and where is there room to improve?

I’d say the collaboration isn’t something that helps the ecosystem, it is the ecosystem. When people look at Silicon Valley they see the startups, but what they’re really looking at is a loop that has been turning for seventy years, where Stanford produces the talent and the research, the funds on Sand Hill Road put money behind it, the corporates buy from the startups and eventually buy the startups themselves, and all of it sits on decades of government research spending that nobody remembers paying for. Each part feeds the next, and if you took any one of them out you’d be left with a pleasant university town.

In practice, collaboration means each party puts something real on the table and is accountable for it, and you can see that happening across the island, not only in our programme. The government sets the direction and removes the obstacles, through the grants RIF puts into early-stage companies, the spin-off framework that lets researchers leave a university with their own work, and the visa schemes that bring talent in. The corporates are starting to treat startups as suppliers and partners rather than as a sponsorship line. The universities are beginning to see a company coming out of a lab as a success rather than a loss.

Local funds and programmes are backing companies at the stage before they reach us, and we bring the international network, the programme and twenty years of knowing how this is done. Our piece of it is funded by RIF and co-funded by our partners, the targets are public, and we sit down with RIF regularly to look at the numbers together, so anyone can see whether it’s working.

That’s what collaboration looks like when it’s real: everyone has something at stake and nobody can hide behind the others.

Plug and Play’s core business worldwide is helping large companies work with startups. What would you say to a Cypriot company that wants to do more of that?

Most of the Cypriot companies I speak to already want to do this. What they ask is where to start, and my answer is usually smaller than they expect, and with different people in the room than they expect.

The way we do it with corporates around the world – and we’ve been doing it for twenty years with more than six hundred of them – is to start from a problem the business actually has rather than from a general wish to innovate.

A bank might want to cut the time it takes to onboard a business customer from weeks to days. A ship manager might want better data coming off its vessels. We take that problem, go through the startups we know, which at this point is tens of thousands, and bring back the handful that have already solved something similar for someone else.

The company meets them, picks one or two, and runs a pilot with us helping on both sides. The difficult part is rarely the technology, it is getting a company of eight people through the legal and security process of a company of eight thousand, and getting the company of eight thousand to make a decision in weeks rather than quarters.

If the pilot works there is a contract, and sometimes the corporate invests as well. That is more or less how a navigation startup ended up in every new Mercedes vehicle.

Where it goes wrong is when it is treated as an event instead of as work. If the innovation team organises a demo day and the head of operations isn’t there, nothing comes of it no matter how good the startups are, and if a pilot starts without anyone having agreed what happens when it succeeds, it will finish without anyone deciding.

I have watched this happen in Germany and in Singapore, so it is not a Cypriot problem, but it is the main reason companies try once and give up.

So my advice to a Cypriot company would be to pick one problem that someone in the business is already losing sleep over, give that person a modest budget and the authority to run a pilot and let us find the startups. Do one properly and the second is much easier. None of it needs an innovation lab.

Plug and Play works with major corporations around the world. How do you see Cyprus-based corporates such as Tototheo Global, ASBIS, ECOMMBX and Mastercard contributing to the development of local startups beyond simply providing sponsorship or support for programmes?

The funding is the smallest part of what they do. Each of the four came into this for reasons of its own, and the longer I work with them the more I think that mix is one of the programme’s strengths.

What each of them brings is quite different. Tototheo Global started out in maritime technology and has grown well beyond it over the years, but what matters most for our founders is that it is a company that built itself in Cyprus and then scaled into international markets, which is exactly the road the startups in our cohort are about to go down.

ASBIS is headquartered here and operates in dozens of countries, so it offers the kind of reach into other markets that a Cypriot startup could never buy on its own, and it is also one of the few corporates on the island that already invests in technology companies, which gives it a very practical interest in what comes out of the programme..

ECOMMBX built its payments infrastructure in Limassol and sells it internationally, so it knows from its own experience what a regulator will ask and what a bank’s due diligence actually looks like, and that is knowledge a fintech founder would otherwise spend a couple of painful years acquiring.

Mastercard brings the view of a global network that sees where payments are going before almost anyone else.

Some of them are here because they want startups working on problems inside their own business, some because they want to invest, and some because they believe the island needs this and would rather be part of it than watch from the side. What they have in common is that they all committed before there was a cohort or a single result to show them, when it would have been very easy to wait a year and see how it went. In my experience that kind of early commitment is the hardest thing to get from corporates anywhere in the world, and here we had it from the first day.

The first Plug and Play Cyprus cohort includes ten startups operating in areas ranging from artificial intelligence and diagnostics to energy and digital platforms. What were you looking for when selecting the first cohort, and what have you learned from working with these companies so far?

We kept the first cohort open to every sector on purpose, because when you start somewhere new you don’t know where the talent is, and the quickest way to find out is to open the door and see who walks in. We spent time with the finalists and picked ten.

At this stage you are backing people rather than plans, since the plan will change several times before it works, so what I look at is what a team has managed to do with almost no money, whether they can explain what has changed in the world that makes this possible now, and whether they have a real reason for the decisions they’ve made on price, market and hiring or are telling themselves a story. I also pay attention to what has moved between our first conversation and the second, because two weeks is usually enough to tell.

What has struck me so far is that the technical quality here is better than people outside Cyprus assume, and we have companies in diagnostics, energy and AI that I would put in any cohort in our network. Where they need us is on the commercial side, pricing for a market bigger than Cyprus, building a sales process that doesn’t stop when the founder is on a plane, and turning a pilot into a contract, which is what the three months are for.

Cyprus has a growing technology community, but the domestic market is small. How important is internationalisation from the very beginning, and beyond funding, what are the biggest obstacles facing startups in Cyprus today?

It matters from before day one, from the moment you decide what to build. The question I ask every founder is: where do you want to be in five years? If the answer is Europe, build for Europe now. Price for it, hire for it, design for it and use Cyprus to test. You’ll hear me say this a lot. You’re not building a company for Cyprus. You’re building a company from Cyprus to serve global markets.

Estonia has about the same population as Cyprus and has produced around ten unicorns. It did that because nobody there could hide in a home market. A small market is only a problem if you let it set your ambition.

Beyond funding, the obstacles I see are distribution and ambition, in that order, and capital a long way behind. There’s more money looking at Cyprus than ever. What’s hard is the first international customer, the first salesperson who can close without the founder in the room, and being willing to fail in public. That last one matters more than people think. We have a culture, and it’s southern European more than Cypriot, where failure is something you hide. In Silicon Valley a founder who has failed once is easier to fund, not harder, because they learned something expensive and someone else paid for it. Part of what we’re here to do is bring that attitude with us.

Plug and Play has described Cyprus as having the potential to become an innovation hub in the Eastern Mediterranean. What would need to happen over the next five to ten years for that to translate into globally successful companies built from Cyprus, and how does Cyprus fit into the wider ecosystem?

The honest answer is that it needs a few Cypriot companies to make it internationally, because that is what sets everything else in motion. Once that happens, the people who built those companies go on to start new ones and invest in others, international investors begin to look at Cyprus seriously, and the next generation of founders can see that it is possible. Estonia is the clearest example: one exit, Skype, produced the founders and the capital behind most of the country’s startup scene today.

For that to happen here, a few things need to continue improving over the next five to ten years. Founders need to build for international markets from day one rather than for the island. Local corporates need to work with startups as a normal part of doing business, since a startup’s first serious customer is usually a local one. It must become easier to raise capital while keeping the company and the team in Cyprus, rather than relocating to raise. The island needs more experienced operators, people who have scaled companies before, which is what the government’s talent and visa schemes are designed to address. And universities need to see a company emerging from research as a success rather than a loss. None of this is new, and most of it is already moving. The next decade is about whether it compounds.

As for the region, Cyprus sits inside the EU, in a time zone that overlaps with Europe, the Middle East and India, and in a country small enough that you can reach anyone within a week, which makes it a natural meeting point. Reflect Festival already brings founders and investors from across the region to Limassol every May, and by bringing our network into it we want a founder from Athens or Dubai to be able to meet our corporates and our investors here, rather than having to fly to San Francisco to find them.

Looking beyond the first cohort and the November innovation Expo, what should success look like for Plug and Play Cyprus in three to five years, and what would convince you that the programme has made a lasting contribution to Cyprus’ startup ecosystem?

We have targets and we will be measured on them, and we take that seriously, but the targets describe the programme, not the ambition. What we want is for Cyprus to be a place where founders believe they can build something that matters and stay here while they do it, and we think that belief is the thing that is still missing. The talent is here and the money is coming. What hasn’t fully happened yet is the moment a few founders prove it can be done from here and everyone else stops asking whether it can.

In three to five years we would like to be able to point to Cypriot companies with customers in ten countries, with investors who came here to find them, with the first employees of those companies starting companies of their own. I would like a corporate in Limassol to have worked with enough startups that it does so without thinking, and a researcher at one of our universities to see starting a company as the obvious thing to do with a result, not a brave one. And we would like founders from abroad to consider Cyprus a serious place to build, not an unusual one.

The Expo on November 11 is the first time we put all of that in one room, our startups, our partners and investors from across the network, and I’m excited to see what comes out of it. As for what would convince me the contribution has lasted, it’s when the things we’ve described start happening on their own as well as through us, when the introductions we made in the first years have become relationships that no longer need us in the middle, and when Plug and Play has gone from being the reason a founder gets a meeting to being one of several good reasons to build a company from here. We’re in Cyprus for the long term.

Website: https://www.plugandplaytechcenter.com

• Anthropic is touting its ability to use different AI chips in its initial public offering filing.
• Analysts say a multichip strategy could weaken Nvidia's pricing power.
• Switching chips is hard and expensive, putting it out of reach for smaller players.

Anthropic is hedging its bets by using multiple chips to handle its AI work — a strategy that could eventually erode Nvidia's dominance.

The AI lab says it manages compute "as a single, fungible pool from multiple strategic partners" — with software that can direct its work to different chips depending on where they're most productive, according to Anthropic's S-1 filing, which came out Monday as the company prepares to go public.

Anthropic says it uses hardware from four chip families: Amazon Trainium, Google TPUs, Nvidia GPUs, and AMD GPUs.

That flexibility, which Anthropic said "took years and significant investment to build," could make major AI companies less dependent on Nvidia over time and give them more negotiating leverage, analysts said.

"The real exposure could be Nvidia's pricing power," said Patrick Moorhead, founder and CEO of Moor Insights & Strategy, "because a customer that can shift work across four platforms negotiates very differently than one that can't."

Ashish Nadkarni, an analyst at IDC, added that a multichip approach also makes Anthropic less vulnerable to fluctuations in Nvidia's chip supply.

Breaking Nvidia's grip isn't easy

Although Anthropic's chip mix isn't new, the company is now pitching it as a core advantage to investors, Moorhead said.

The threat has its limits. Switching between chips is still difficult — especially when it comes to training AI models as opposed to running them, Moorhead said — and only the biggest AI companies have the resources to do it.

Anthropic also continues to spend billions on Nvidia compute, Moorhead said.

Gil Luria, head of technology research at D.A. Davidson, said that while other major companies like OpenAI likely take a multichip approach, it may not be worth the effort and investment for smaller players.

Brad Gastwirth, global head of research and market intelligence at Circular Technology, said Anthropic's strategy doesn't represent a major near-term threat. Having more chip options doesn't erase Nvidia's advantages in performance, networking, and software, he said.

There's a broader risk for Nvidia if AI compute becomes more of a commodity.

Citadel CEO Ken Griffin has warned that if supply overtakes demand, it could drive down rental prices.

"GPUs, like airlines, have a very low marginal cost to run," he told Bloomberg last week. "The moment you have overcapacity, pricing goes into freefall."

Nvidia did not immediately respond to a request for comment from Business Insider.

Have a tip? Contact this reporter via email at gweiss@businessinsider.com or Signal at @geoffweiss.25. Use a personal email address, a non-work WiFi network, and a non-work device; here's our guide to sharing information securely.

Cyprus may still be an unlikely place to build a biotechnology company, but Dr Marianna Prokopi-Demetriades, co-founder and director of Theramir, is increasingly convinced that this is precisely what gives the island something to prove.

At Theramir, that means developing precision-oncology technologies, building the manufacturing and regulatory foundations needed to move experimental therapies closer to patients, and trying to show that globally relevant biotech can emerge from a small ecosystem.

The work is slow by design. Cancer therapies cannot be rushed through validation, safety testing, manufacturing or regulation, and even strong laboratory results can take years to reach the clinic.

For Prokopi-Demetriades, that reality sits alongside a much bigger ambition. She wants Theramir to help prove that Cyprus can do more than support innovation from elsewhere. It can create it, retain the intellectual property and take it international.

From a small island to global biotech

That ambition received fresh recognition this year when Prokopi-Demetriades was named the 2026 Study UK Alumni Awards global winner for Business and Innovation, selected among 1,800 candidates from 120 countries.

For years, she said, Cyprus “was not a place people immediately associated with biotechnology”, even though its technology and innovation ecosystem has grown enormously over the past decade.

Being recognised internationally therefore felt “both like a very personal milestone and a huge surprise”, but Prokopi-Demetriades also sees it as an opportunity to put Theramir and Cyprus more firmly on the global biotech map.

She is careful, however, not to confuse recognition with progress itself. “Of course, awards do not suddenly bring deals or open doors,” she said, noting that in biotech, progress still depends on years of scientific R&D, validation, manufacturing and regulatory work.

What recognition can do is bring visibility to a field that often feels like “a long and lonely path”.

Her hope is that the award brings more confidence and excitement around biotechnology in Cyprus, inspires the next generation of scientists and helps strong science find “a real path to scale and, ultimately, reach patients”.

What Theramir is trying to do differently

The science behind Theramir starts from a simple but difficult reality. Cancer does not behave in the same way from one patient to another.

Each tumour has its own molecular profile and can evolve under treatment, Prokopi-Demetriades explained, particularly in metastatic and treatment-resistant disease, where cancer can activate several pathways in order to survive.

Theramir’s EVmiR® platform is designed around that complexity.

“We use extracellular vesicles (the body’s natural cellular messengers) to deliver microRNAs, small molecules that can regulate multiple cancer-driving pathways simultaneously,” she said.

The distinction lies in how those molecules act. “Rather than blocking one target, the aim is to interfere with networks controlling tumour growth, resistance and metastatic spread,” she explained.

The company’s lead programme targets triple-negative breast cancer, with expansion into bladder and pancreatic cancer. Because EVmiR® is a platform technology, different microRNAs can be selected for different tumour biology, creating what Prokopi-Demetriades described as “a potentially adaptable precision-oncology approach”.

Could a blood test help tell us what comes next?

Theramir is also developing companion biomarker tools alongside its therapeutics, bringing diagnosis and treatment closer together.

The aim, Prokopi-Demetriades said, is “to connect treatment with the biomarkers that can tell us who is most likely to benefit and how the disease is responding”.

Today, Theramir evaluates LCP-1 expression through tissue biopsy, while liquid biopsy allows the team to study circulating microRNAs and tumour-associated extracellular vesicles in blood.

The value comes from combining those sources of information. “Together, these markers could support patient selection and provide a more dynamic picture of treatment response, with future potential for real-time monitoring and earlier detection of progression, resistance or recurrence,” she explained.

When the laboratory is only the beginning

A new challenge begins when promising science has to leave the laboratory.

“A promising laboratory result is only the beginning,” Prokopi-Demetriades said, because before a therapy can reach patients, the science must be reproduced consistently, safety and efficacy confirmed preclinically and the product transferred into GMP manufacturing with strict quality control and batch-to-batch consistency.

“This is why biotech development takes years rather than months,” she said.

Medochemie’s involvement is therefore significant. As she explained, “Medochemie’s involvement is important because it brings pharmaceutical manufacturing, quality and regulatory expertise directly into this next phase.”

For Theramir, the next major milestone is to translate EVmiR® into a clinical-grade product, establish a robust GMP manufacturing process and generate the data required to support first-in-human clinical development.

The expensive patience of biotech

That timetable also changes the way a biotech company has to think about investment.

Unlike a software startup, which can launch, test and change direction in months, biotech may spend years generating evidence before conventional revenues appear.

“Biotech investors are backing scientific progress long before conventional revenues appear, so milestones look very different: reproducible data, preclinical validation, GMP manufacturing, regulatory progress and eventually clinical development,” Prokopi-Demetriades said.

Public funding, she explained, helps de-risk the early science, while private investors “mainly place trust in the founders, the vision and the potential to create something with real patient impact”.

Strategic partners such as Medochemie then add sector expertise alongside capital.

There is, however, a limit to what money can accelerate. “Money can accelerate execution, but it cannot shortcut biology, safety or regulation” is how Prokopi-Demetriades put it, adding that this patience is part of “building biotech for the greater good”.

What could Cyprus become?

The question for Cyprus is whether individual companies such as Theramir can eventually become part of something broader.

Prokopi-Demetriades said the country has “come a long way since Theramir started”, when it was only the second company approved as an innovative company locally.

Her ambitions for the sector are focused. “Competing directly with mature biotech hubs is still unrealistic, but we can build our own niche,” she said.

Instead, she sees a real opportunity in next-generation biomanufacturing, developing specialised GMP capabilities that can take innovation from the laboratory towards the clinic.

Equally important is “creating and retaining Cyprus-made intellectual property”, then scaling it internationally through strategic partnerships and licensing.

That, she believes, would allow Cyprus “not simply to host innovation, but to originate and export it”.

When the science becomes personal

Behind the science, however, there is also a more personal contradiction.

Prokopi-Demetriades has spoken openly about losing people she loves to cancer while spending years working on therapies for the disease.

“There is a painful contradiction in spending years working on cancer therapies while, at the same time, losing people you love to the disease,” she said.

That experience creates an instinct to move faster.

“It makes you want to move faster, but it also reminds you why you cannot take shortcuts,” she said, adding that patients deserve “evidence and safety, not just promising science”.

Through the slower periods, she remains focused on why Theramir began. “The long timelines can be frustrating, but I know why we started,” she explained.

Reaching the first patient with a Theramir therapy would therefore mean far more than another development milestone.

It would be, she said, “a major scientific milestone and, for me, an intensely personal one”.

DUBAI: A Saudi-based startup is deploying 32 artificial intelligence agents across nine departments to help entrepreneurs turn business ideas into fully fledged startup projects, covering everything from financial planning and market research to website development and marketing. Hatchio AI is designed for non-technical founders, established businesses and startup incubators, bringing multiple business functions together on a single platform. The startup aims to reduce the time and resources re

Just two months after launching i spy, Cypriot founder and CEO Nicole Georgiou is already seeing signs that the way people discover fashion online may be changing faster than the tools they use to shop it.

The London-based fashion-tech platform is built around a familiar problem. An outfit catches your eye on TikTok, Instagram or Pinterest, but finding the pieces behind it can mean screenshots, Google searches, several retailer tabs and saved posts scattered across different platforms.

Georgiou is trying to bring those steps together, allowing users to take inspiration from elsewhere, search for exact or similar items, save products into boards and return to them when they are ready to buy.

Early users show real purchase intent

For Georgiou, the clearest early sign that there is a genuine problem to solve has come from user behaviour, with early users showing that “people aren’t just coming to i spy for inspiration, they’re coming with real purchase intent”.

That interest has translated into activity. In the platform’s first two months, entirely through organic growth, “we’ve seen more than 20,000 searches and 800 user-created boards, alongside thousands of products being saved,” she said.

Those searches are also increasingly tied to genuine buying decisions, with users looking for “things they genuinely want to wear and potentially buy, wedding guest dresses, holiday outfits, bridal looks and pieces they’ve seen elsewhere”.

For Georgiou, however, repeat use matters more than the initial download. “What matters to me isn’t just that someone downloads i spy, but that they come back,” she said, adding that “A download tells you someone was curious. Coming back tells you you’ve created something they actually want to use.”

The same applies to how users save products. Georgiou said “a save means something different on i spy”, explaining that on a traditional inspiration platform it can simply mean “I like this”, while on i spy it can mean “I might actually buy this”.

That difference is reflected in the way users behave, she added, with people beginning to “search, compare, save and organise products they are genuinely considering”.

Fixing a fragmented shopping journey

Asked what problem i spy is actually solving for consumers, Georgiou pointed to the increasingly fragmented nature of online shopping, saying “The way we shop online has completely changed, but the infrastructure hasn’t caught up.”

A typical journey, she said, might involve seeing an outfit on TikTok, saving something on Instagram, finding inspiration on Pinterest, using Google to search for the product, opening multiple retailer tabs and taking screenshots on a phone.

The result is that “The inspiration, search, saving and purchasing parts of the journey are completely disconnected,” she said.

That is the gap i spy is trying to close. Georgiou put it simply when she said “i spy connects that journey”, allowing users to “take inspiration from anywhere, find the exact or similar products, save them, organise them and come back when you’re ready to buy”.

Building between inspiration and purchase

While visual search itself is not new, Georgiou sees i spy as occupying a different place from larger platforms.

She described Google Lens as “a strong image search tool” and Pinterest as “incredible for inspiration”, but said i spy is “specifically built around fashion and around what happens between seeing something you like and deciding to buy it”.

That space between discovery and purchase is central to the company’s proposition, with Georgiou describing it as “the consideration layer between inspiration and purchase”.

Taking on the bigger platforms

Asked what makes i spy defensible when Google, Pinterest and other large platforms could potentially build parts of it, Georgiou said there is “a structural reason why this space is still relatively unowned”.

In her view, large platforms face conflicting incentives. “Pinterest ultimately wants to keep you on Pinterest, while Google operates within its own ecosystem,” she said, while i spy is “deliberately cross-platform and consumer-first, if you discover something anywhere, you can bring it into i spy”.

Georgiou acknowledged that large platforms could technically build elements of the same experience, but said “creating a system that connects users across different platforms and retailers doesn’t naturally align with their existing business models”.

Focus is another part of the argument. “We’re also incredibly focused,” she said, contrasting i spy with platforms “building for hundreds of millions of people across many behaviours”.

By comparison, she said, “we’re building one thing for one specific behaviour: what happens between seeing something you want and deciding to buy it”.

That focus also feeds into the technology itself. Georgiou said “Our proprietary fashion technology and the behaviour we’re learning from searches, saves and interactions become increasingly valuable as the platform grows.”

Using AI to understand taste

When asked what AI can understand about a shopper that traditional search cannot, Georgiou said its value lies in reducing rather than expanding choice.

“I think AI is most useful when it reduces choice rather than simply giving you more of it,” she said.

The company is using technology to learn “someone’s real, underlying taste”, looking not just at what a person has searched for once, but at “the patterns across what they repeatedly search for, save, put into boards and eventually keep in their closet”.

Over time, Georgiou said, that allows i spy to understand “the person behind the search” and give users “better results, recommendations and discovery”.

She is also keen to distinguish that approach from the growing number of AI shopping agents. “We’re not trying to build another AI shopping agent that simply gives you a list of products,” she said, adding that “I want technology to understand someone’s taste while keeping the human and social side of fashion intact.”

Changing where shopping begins

Georgiou’s ambitions stretch beyond building another fashion app.

Asked what she means when she describes i spy as becoming “the default system for online shopping”, she linked that ambition to a change in where the shopping journey actually begins.

“When i spy becomes the default system for online shopping, it will be because we’ve changed where people think shopping starts,” she said.

That behaviour is already shifting, in her view, because “Shopping used to start with a search bar. Increasingly, it starts with a TikTok, an Instagram post, a creator, a Pinterest board or something you see in real life.”

For Georgiou, that is the space i spy wants to occupy, with the aim to “own the moment between seeing something you want and deciding to buy it”.

Fashion is where the company is starting because “it’s one of the most visual and fragmented categories”, although she believes “the underlying behaviour is much broader”.

Georgiou is also building the company from London as a Cypriot founder, saying the city has given her “access to fashion, technology talent, investors and brands”, while she still sees “a huge opportunity for Cyprus to support globally ambitious consumer technology companies”.

The company is now moving into fundraising after what she described as “strong interest from early investors”, with plans “to scale the technology, team and user growth”.

Ultimately, however, Georgiou’s measure of success is much simpler. She wants someone to see something they love and instinctively think “I’ll i spy that.”

• Infrastructure startup Hyperbolic raised a $30 million round led by Intel CEO Lip-Bu Tan's VC firm.
• The startup connects companies with neoclouds and makes their AI chips easier to use.
• Hyperbolic also wants to let customers resell unused computing power.

Intel CEO Lip-Bu Tan is backing an infrastructure startup that has raised $30 million to help companies rent compute across hundreds of different AI cloud providers.

Hyperbolic, an AI chip marketplace and software startup, has raised $50 million to date.

Walden Catalyst, the venture capital firm founded by Tan and former Samsung president Young Sohn, led the Series A-1 funding round. Dell Technologies Capital, General Catalyst, Vista Equity Partners, and Cambium Capital also participated.

As companies scramble for computing power, one challenge is that AI cloud providers, or neoclouds, use a mix of different chips, networking, and software. Hyperbolic helps customers find compute resources from different providers and creates software that makes it easier to use them all, rather than dealing with each one separately.

"It's been a really fragmented market that makes the customer experience really painful," said 31-year-old founder and CEO Jasper Zhang.

Hyperbolic also wants to let customers resell compute that they're paying for but no longer need.

The four-year-old startup works closely with about 30 neoclouds, including WhiteFiber and Vector Core Compute. It says it has roughly $200 million worth of compute connected to its software annually.

Hyperbolic previously raised a $12 million Series A round in 2024, led by Variant and Polychain Capital, following a $7 million seed round earlier that year. The company expects to have 50 employees by the end of the year and will use its funding to expand software tools for managing AI chips across different neoclouds.

Zhang said the company is aiming for $150 million in annual recurring revenue by the end of the year and is already breaking even. More than 250,000 developers, including teams at Modal, Higgsfield, and Daytona, use Hyperbolic.

Before founding the company, Zhang worked as a quantitative researcher at Citadel Securities. As Wall Street explores ways to financialize AI chips, he said his startup's plans to let companies resell unused compute could help pave the way for a futures market.

Here's a look at the pitch deck Hyperbolic used to raise its $30 million Series A-1. Slides have been redacted so that the deck can be shared publicly.

• Edward Tian co-founded GPTZero in college, building it into a success before selling to Superhuman.
• He said he thinks that creating 'artificial scarcity' for the product contributed to its success.
• He said he'd major in the humanities, not computer science, if he went to college today.

This as-told-to essay is based on a conversation with Edward Tian, the 26-year-old cofounder of GPTZero, who's based in New York. His words have been edited for length and clarity.

I was never planning to go down the founder path straight out of college. I had a visual investigations fellowship lined up for after graduation and was ready to start a journalism career.

My cofounder Alex and I went to high school together. When ChatGPT came out, he was pursuing his Ph.D. in computer science at the University of Toronto, and I was in my senior year at Princeton. Over winter break, we built an AI detection tool and put it online. The success was almost overnight.

Three years later, we sold our company, GPTZero, to Superhuman, and have stayed on board to work with the team. Superhuman is a very pro-AI company, and I think it was an unexpected move for us as an AI detection company to join them.

We didn't build GPTZero to say there should be no AI on the internet. I think that's the biggest misunderstanding about why we started our company, but my feelings on AI have changed.

I had a different job lined up for after graduation

I studied computer science at Princeton and worked with a professor at the Princeton Natural Language Processing Lab on AI research. I also worked on a few other startup projects in school, but I was always hoping to work in journalism.

While in college, I became very involved in the open-source investigation community. I ended up working on open-source investigative projects with the BBC and Bellingcat, and had a visual investigations fellowship at The New York Times lined up after graduation, which I was excited about but ultimately didn't take.

After ChatGPT came out, I was inspired to investigate where and when AI was being used online. It took about a week over winter break to build the first version of our AI detection tool, and it was released in January 2023.

We created artificial scarcity to help grow the business

My cofounder Alex and I posted on social media to market the tool so people could try it, but we didn't view it as a business right away. However, it blew up online pretty quickly. After seeing the success, we wanted to double down on the opportunity and turn it into a legitimate site.

One piece of advice I have for founders is that using a waitlist is really helpful for generating hype and excitement. We put the first version of GPTZero on a waitlist because it had reached capacity. So I think that artificial scarcity was also very helpful in the success.

We had a lucky combination of very talented engineers and some traction and buzz, so we started reaching out to VCs. Many of our early VC partners went to my alma mater, and kind of all knew each other. Jack Altman is also an investor, and I remember we had a call where I was in my dorm room, and he was like, "Oh, I recognize that dorm room too."

For founders raising funding for the first time, my advice is not to optimize for the flashiest name or the biggest brand because you think it will attract future talent. Go for where there's familiarity and trust; trust is the most important thing when working with an investor.

We raised around $3.5 million in our first funding round. I stayed at Princeton to finish my senior year and graduate, and we kept growing the business. My cofounder Alex left his Ph.D. program to focus on the business.

It was bittersweet to sell the company

When Shishir, the new CEO of Superhuman, joined in 2025, we spoke with him about his broader platform vision for a suite of products. He thought we could be part of the authenticity suite he wanted to create.

It was bittersweet to think about giving up something that we started from scratch and put so much energy and care into. At the same time, it was a lot easier because the team stayed on. I'm now a director of product at Superhuman.

For company acquisitions, a lot of folks think the three most important things for a great fit are product match, people fit, and economic sense. We had similar people philosophies, and the deal made sense financially. Then, product-wise, we realized we're definitely not against AI use anywhere in education. We just want to make sure there's some authenticity and truth with that usage.

Over the next few years, we're going to take our shot at building a startup within a larger company. I've seen a lot of startup founders go to larger companies and start their moonshots from within.

The bigger mission we have is to take steps to ensure people are being respectful of the person who's on the receiving end of AI generations and productivity now. We want it to be that we're reaping the benefits of AI without making other people deal with more work.

I wouldn't major in computer science anymore

When we first started GPTZero, I think I was actually more pro-AI than I am now. I believe people should know when something is AI-generated, but I wasn't saying not to outsource anything at all.

In the past year, though, I've started to see an over-reliance on AI among people who finished university after ChatGPT was launched, especially with writing. If I went back to college right now, I wouldn't major in computer science. I'd probably major in journalism and get a minor in computer science. I'd get a humanities degree because those are the important skills now.

I've started to see a friction point at work when people can't write or edit, and everything they send reads like AI. Part of what I'm doing now at Superhuman is working on responsible AI usage policies and guidance.

People are allowed to use these tools however they see fit. At the same time, I feel a profound sadness for the internet at large. It's important to make sure we still have human-written content online.

Do you have a story to share about working on a tiny team? If so, please reach out to the reporter at aapplegate@businessinsider.com.

• Simile raised $300 million to build models that simulate consumer behavior.
• CEO Joon Sung Park said users can define an audience and ask simulated consumers questions.
• Park said CVS and companies in finance and entertainment are already working with Simile.

Companies could soon have a new way to find out your shopping habits — by asking your digital clone.

Joon Sung Park, Co-Founder & CEO of Simile, an AI startup, told show host Molly O'Shea on the Sourcery podcast released on Monday that the company is building simulations of people that businesses can quiz about everything from products to marketing campaigns.

Park said the company is "creating a foundation model of human behavior that basically can take as input a description of a person or a group of people and then simulate what these people might do in different contexts," Park said.

"So they get access to this web interface where they can basically come in and define two things," Park added of existing users. "They can say who they want to talk to and what questions they want to ask. And really they can ask anything, and right now they can ask any number of questions."

Park said Simile raised $300 million in total at a $2 billion valuation.

Simile’s pitch comes as retailers turn to AI to get shoppers to spend. Amazon and Walmart have rolled out AI shopping assistants that answer questions, compare products, and recommend items, while retailers use customer data to personalize what shoppers see. Executives at both companies have said their AI tools are helping boost online sales.

Park said CVS has worked with Simile to better understand consumers, including their responses to store layouts and messaging. The startup also works with financial institutions and entertainment companies, Park said.

Simile maintains simulated panels for different industries and collects additional data when customers want to understand a specific population. Park said Simile's partnerships with organizations, including Gallup, which have access to actual humans who have agreed to participate, provide it with data from more than 40 million people globally. He said the company also uses behavioral information, such as transaction and mobility data, to train its models.

“If we can create simulations of people and be able to ask any questions at any time," Park said, "That becomes a superpower for these companies."

• Anthropic shows strong profit potential, with revenue growing way faster than expenses.
• Anthropic's revenue per employee exceeds $6.6 million, outpacing estimates for Meta and Google.
• Anthropic has a surprisingly diverse customer base and huge cash reserves.

For years, one of the biggest unanswered questions about the artificial intelligence boom has been surprisingly simple: Can the companies building the world's most powerful AI models actually make money?

After spending hours poring over Anthropic's IPO filing on Monday, we finally have an answer: Yes. And potentially lots of it.

A couple of Chinese AI labs went public earlier, revealing appalling financial results that sowed doubt about the industry's economics. Now Anthropic has provided a much more compelling demonstration of how this business can work at enormous scale.

The numbers are remarkable. Anthropic generated $11.6 billion in revenue during the second quarter of 2026, up 1,368% from a year earlier. During that same period, spending on computing and infrastructure increased 300%, while other expenses rose 741%

So, the company is bringing in money much faster than its most important costs are rising.

For every dollar Anthropic spent on computing in the second quarter, it generated $2.08 in revenue, up from just 40 cents in the first quarter of 2025. That's a more than fivefold improvement over five quarters.

The result: Anthropic recorded $974 million in quarterly operating profit, representing an 8% margin. Its adjusted operating profit margin reached 19%, compared with -129% a year earlier.

"Frontier-lab unit economics can turn positive at scale," Mark Mahaney, a top tech analyst at Evercore ISI, wrote in a research note on Monday.

Better than Meta and Google

There's more evidence that Anthropic has built an unusually efficient business.

Over the year ending September 30, revenue increased roughly 1,200%, while its employee count grew about 170%. Revenue per employee jumped from $1.4 million to more than $6.6 million.

For comparison, Mahaney estimated that Meta generates about $3.2 million in annual revenue per employee, while Google generates about $2.5 million.

That comparison isn't perfect. Anthropic relies heavily on cloud providers, whose employees handle much of the computing infrastructure and distribution work. The improvement is still striking.

Customer surprise

Another surprise: Anthropic doesn't depend as much on a handful of enormous customers, as some investors had feared.

The company had more than 11,900 customers generating at least $100,000 in annual revenue as of September, compared with over 950 a year earlier. More than 1,900 customers spend at least $1 million annually.

No single customer accounted for more than 10% of revenue during the first nine months of 2026. Its five largest customers represented about 21% of third-quarter revenue, down from roughly 36% in the first quarter.

"Concentration may be better than feared," Mahaney wrote.

Cash cushion

Anthropic has a formidable financial cushion. Its June 30 balance sheet showed more than $130 billion in cash and short-term investments.

And Mahaney estimated that the company has burned through just $9 billion since it started more than five years ago. That's a long runway.

Now, don't ask me whether all this makes Anthropic worth $2 trillion, $1.5 trillion, $1 trillion, or considerably less. If I knew that, I'd be making a lot more money as an investor. And even professional investors don't know.

An $800 billion caveat

Some enormous caveats: Much of Anthropic's revenue comes from customers paying for what they use, rather than signing long-term contracts. Meanwhile, some of its computing agreements require minimum payments whether or not it needs all the capacity.

Mahaney estimates that Anthropic has entered into nearly $800 billion in computing arrangements, although only about $266 billion was fixed or guaranteed as of June.

That's still a staggering amount.

"The commitments assume revenue compounding that is not contracted," Mahaney wrote.

Translation: While the company has committed to spending hundreds of billions of dollars on AI computing infrastructure, it hasn't secured the future revenue needed to pay for all of it.

Importantly, most of the potential $800 billion exposure isn't fixed. Many arrangements depend on capacity being delivered, can be adjusted, or include cancellation provisions.

In-house compute and capex

Another wrinkle: Anthropic warned Monday that its spending will increase as it shifts toward leasing AI chips and operating more of its own computing infrastructure, rather than relying entirely on Amazon, Google, and other cloud providers.

That could make future cash flow considerably less attractive, even if operating profits continue to improve.

Still, the central takeaway from Anthropic's IPO filing is difficult to ignore.

For years, investors have wondered whether selling AI could become a genuinely profitable business, rather than an extraordinarily expensive scientific experiment.

Anthropic has now shown that it can. The next question is whether it can keep doing so as the bills get much, much bigger.

Sign up for the AI Insider newsletter here. Reach out to me via email at abarr@businessinsider.com

• Anthropic's IPO filing offers a look at a workplace where Claude does much of the coding.
• The company said it grew from 940 employees to 5,300 in less than two years.
• "Low ego" is a cultural ideal, and keeping top AI talent is a key challenge.

Anthropic is rapidly growing head count, concerned about retaining top talent, and trying to build a "low-ego" culture.

Those are among the workplace insights in the Claude maker's IPO filing released Monday.

The more than 200,000-word document reveals what it takes to thrive as an employee — or an "Ant," as staffers are called — and why the company is so focused on retaining its top talent.

Here's a look at three workplace themes in Anthropic's S-1:

Head count is booming, but could be higher without Claude

Anthropic said its workforce grew from about 940 employees at the end of 2024 to about 5,300 as of late September.

The more than fivefold spike in head count in less than two years is notable on its own. Yet, without Claude, it could have grown more. Anthropic said the tool is helping its staffers take on work that would traditionally have required much larger teams — something many tech companies are looking to do to become more nimble.

Most Anthropic employees work in research, engineering, and product development. The company said its strategy is to use Claude to grow the business "without growing head count linearly, resulting in extraordinary contributions per employee."

One place where that's evident is in software engineering. The company said these workers increasingly direct and review Claude's output rather than write code line by line. Claude wrote more than 90% of the contributions to the company's codebase in September, while average daily code contributions per engineer in the third quarter were more than 45 times their average daily level in 2024, Anthropic said.

Recruiter Martha Heller said it's little surprise to see Anthropic talking up its use of Claude. "Of course they're going to eat their own dog food," she said. In any case, Heller said, the company still needs people to provide oversight of AI's activities.

Yet the gap between staffing levels and output could grow, said Aaron Cleavinger, an executive recruiting partner at Flatiron Search Partners.

"Head count is becoming a less meaningful measure of organizational capability," he said. Cleavinger said it's not yet clear what the new measure will be, though Anthropic's approach suggests companies might put greater emphasis on workers' productivity and business impact.

It describes retention as paramount

Despite having significantly upped its employee count, Anthropic said it's highly dependent on its senior leaders and key technical team members. The company warned that their departure could disrupt operations and slow innovation.

While that's true for any employer, Anthropic faces additional challenges. It's a fast-growing startup in a booming industry, where few people have the right technical skills — and those who do are being heavily courted by competitors.

Winning the war for talent is half the battle. Anthropic is also part of an industry where some workers have quit and issued dire public warnings about the dangers of increasingly powerful AI.

For example, safety researcher Jacob Coxon resigned from Anthropic last month, saying the company and his former employer, OpenAI, were moving too quickly toward increasingly powerful AI without a sufficient plan to control it.

"That's not garden-variety turnover," said Liane Davey, an advisor on team effectiveness to executives at companies such as Amazon and Google.

If employees determine that their work poses an existential threat, no bonus can simply erase moral qualms, Davey added.

In its S-1, Anthropic said many key technical workers are motivated by its mission and by the chance to tackle specific AI problems. However, if their beliefs change, or another organization seems more aligned with their personal beliefs or professional goals, "we may face increased difficulty retaining such personnel," Anthropic said.

The company's internal data suggests that, at least for now, turnover isn't a significant problem. It said it experienced only about 1% "regrettable attrition" in a 12-month period ending on September 30.

However, Anthropic may have a thinner pipeline of junior technical talent to elevate. The company said in a recently released internal report that it has been hiring for a "smaller share of junior technical positions" as AI agents have been deployed across the firm to write code, fix bugs, and handle other tasks.

Anthropic is betting on a "low-ego" workforce

Anthropic touts a "low-ego" or "ego-light" culture, meaning all employees are expected to prioritize what's best for the company over personal status, credit, or seniority. It uses similar language on its website in a section describing its values.

In the S-1, the company went further, saying the arrangement allows for an "unusually short" distance between a research insight and a released product. Anthropic also said a shared purpose, paired with low ego, translates directly into less organizational friction and greater impact per employee.

"Our teams operate in a truth-seeking environment where the best argument wins, not the loudest voice or the most senior title," Anthropic said.

Jamie Shapiro, an organizational psychologist and CEO coach, said that logic makes sense because good ideas can come from anyone within an organization, especially those who directly interact with customers.

"An organization that has idea meritocracy is going to get the best ideas," she said.

However, as Anthropic grows, the more challenging task will be ensuring its hiring, recognition, promotion, and accountability systems reinforce its ideals — rather than allowing exceptions that undermine them.

"The bigger the organization, the harder it is to make sure everyone is living and breathing the culture it wants," said Shapiro. "Culture is defined by the worst behaviors you allow."

• Spark Capital is mentioned more than 50 times in Anthropic's S-1 filing, released Monday.
• The reason Spark gets the most mentions is because partner Yasmin Razavi has a board seat.
• Spark led the $450 million Series C round at a $4.5 billion valuation in May 2023.

Spark Capital's Yasmin Razavi has a reputation for refusing to make gut calls. Her methodical decision to invest in Anthropic is now set to generate one of the biggest fortunes in Silicon Valley history, as Anthropic prepares to IPO.

Many venture firms, including Lightspeed and Menlo Ventures, are major Anthropic investors, but Spark is the only traditional VC firm named in the filing. And it's not just a few mentions. Spark is named more than 50 times.

The reason Spark gets the most ink is because Yasmin Razavi has a board seat after being the first institutional investor in the company, leading the $450 million Series C at a $4.5 billion valuation in May 2023.

This was just six months after ChatGPT was released to the public, and the jury was out on whether a rival like Anthropic could catch up. Many balked at the price, calling it too expensive.

"It was a big leap of faith, but this was the team that built GPT-3," Razavi told Forbes.

The filing says that Spark has invested $777 million in Anthropic across six financings since then, including $75 million in the first pivotal round at $11.22 per share.

Spark was already known for making early bets on Postmates and Discord, but it was the Anthropic investment that transformed the firm's Silicon Valley reputation from a good venture firm to a great one.

Razavi said she has been continuously wowed by CEO Dario Amodei.

"Every year, he puts out outrageous numbers, but somehow they magically become true," Razavi told Forbes. "Dario never misses."

Soon, Amodei will face a greater test: the public markets.

Please send along your tips. Email Ben or Katie anytime or contact them on Signal at benbergman.11 and kroof.26. Sign up for Business Insider's weekly VC Insider newsletter here.

• Micro1 pledged to spend $1 billion on licensing companies' data for AI developers.
• The startup snags Slack messages, Canva files, Google Docs, and as much other data as it can get.
• By selling company data, CEOs have a new revenue stream that popped up this year.

As AI labs go on the hunt for real-world data, Micro1 is throwing everything at getting it for them.

The startup is one in a new class of fast-moving data brokers, gobbling up companies' internal data and packaging it for the likes of OpenAI, Anthropic, and other model developers. The executives who sell their companies' data to Micro1 find themselves suddenly participating in a new sector of the economy, where terabytes of mundane workplace interactions can be worth hundreds of thousands of dollars.

Ilya Brotzky, the CEO and cofounder of the recruiting startup VanHack, told Business Insider he was shocked when he filled out a Micro1 survey about his company's data and received a "substantial" offer.

"I didn't believe it, to be honest," he said. "I felt like it was a little too good to be true."

Micro1 says it pays $100,000 to $2 million for a single midsize company's data. It recently announced plans to spend $1 billion on the project over the next year. Brotzky and the other executives Business Insider spoke to for this story wouldn't share the exact amounts their companies received.

For Micro1, the new focus on workplace data matches a broader evolution in the industry, as Business Insider has written about in The AI Data Grab, a series about how tech giants are increasingly turning to workers, users, and the physical world to get data to train AI.

First, AI companies gobbled up text from the internet and corpora of old books. Then they realized that humans grading AI responses could improve their models. And now, companies are using complex simulations, built on real-world data, to improve the tenacity and skill of their AI.

Gartner estimated that spending on AI data is likely to surge from less than $1 billion last year to almost $6.5 billion in 2027. Micro1's chief revenue officer, William Almeida, told Business Insider in September that his company has been explaining to prospective customers why their data is suddenly so valuable for those simulations.

"Every time I talk to companies, I tell them, 'Hey, I see this as a booming business,'" Almeida said.

Slack DMs, Google Docs, Canva files: Micro1 wants all it can get

Micro1 has three ways of working with AI model developers.

First, it can take a company's raw data, transform it to protect privacy, and license it to a lab. In addition, Micro1 provides an in-progress AI agent to companies and gets feedback on how it works. The third route is the simulation: Micro1 takes a company's data up to a certain timestamp, freezes it, and then provides that "environment" to a model developer trying to teach its AI how to work from existing context.

Micro1 pays more for larger, more complex datasets, as well as for data that represents a unique type of work or knowledge. It usually wants to license a company's entire data corpus, so that an AI model can replicate what it would be like to be a human employee.

"The connection, the diversity, the traceability of all of these data points, they matter a lot when you think about model training," Almeida said.

Brotzky also received an offer from AI data startup Mercor to buy his company's data, though he opted for Micro1. Once Brotzky dug into Micro1's privacy process, he said he felt comfortable sharing all the data they requested. That included VanHack's Google suite, Confluence data, Slack messages, and customer relationship management software.

Grant Gooley, the CEO of the marketing agency MyPortal Marketing, also views his deal with Micro1 as an innovation. He has sold internal design files from Figma and Canva, as well as checklists from Monday.com.

"When we were building these processes years ago, I didn't think that we would be using it to support AI learning," Gooley said. "But doing that, it's very fulfilling."

CEOs pitch the deals to their workers

Micro1 and its rivals are full steam ahead. Still, there are open questions. Former and current employees aren't likely to get any compensation from — or a voice in — their work becoming AI fodder. Ifeoma Ajunwa, a law professor at Emory University, previously told Business Insider that data sales are an "ethically gray area."

When pitching to potential customers, Almeida tells them this business is in the early days.

"If you wait too much, you won't get the premium that the first companies are getting," he said.

VanHack's team got a confidence boost from the Micro1 deal, Brotzky said, because of the additional revenue stream it represents

Gooley said he's kept MyPortal Marketing's employees in the loop about the deal with Micro1 and hasn't heard any complaints.

"I told my team that this is something that you're going to tell your grandchildren about one day, because we are literally supporting the future growth of marketing agencies," Gooley said.

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