Techin' Geek

As India pitches itself as a global hub for applied artificial intelligence, OpenAI has partnered with Pine Labs to integrate AI-driven reasoning into the fintech firm’s payments stack, automating settlement and invoicing workflows in a move the companies say could help accelerate AI-led commerce in India.

The partnership will see Pine Labs embed OpenAI’s application programming interfaces — software tools that let companies plug AI into their existing systems — within its payments and commerce infrastructure, the companies said on Thursday, all with the aim of enabling AI-assisted settlement, reconciliation, and invoicing workflows.

The deal underscores OpenAI’s broader push to expand its footprint in India, one of its fastest-growing markets, as it looks to move beyond being known primarily as the maker of ChatGPT and embed its technology into education, enterprise, and infrastructure. Earlier this week, OpenAI partnered with leading Indian engineering, medical, and design institutions to bring AI tools into higher education, betting that India’s large developer base and more than a billion internet users will play a central role in the next phase of AI adoption.

Pine Labs is already using AI internally to automate parts of its settlement and reconciliation process, cutting the time it takes to clear daily settlements from hours to minutes, according to Chief executive B Amrish Rau. The Noida-based company previously relied on manual checks by dozens of employees to process funds from multiple banks before markets opened each day, a workflow that is now largely handled by AI-driven systems, he said in an interview.

For Pine Labs, the partnership is intended to extend those AI-driven efficiencies beyond internal operations to merchants and corporate clients, starting with business-to-business use cases such as invoice processing, settlements and payments orchestration, Rau told TechCrunch. He noted the company sees faster adoption in B2B workflows, where AI agents can handle large volumes of repetitive financial tasks under predefined rules, before similar capabilities reach consumer-facing payments.

“People talk about retail AI, but the bigger impact of all of this is really efficiency improvement, especially in B2B,” Rau said. “If you look at invoicing and settlement, those are workflows where agents can actually drive the process end to end, and that’s where adoption can happen faster.”

The rollout of more autonomous, agent-led payment workflows will move faster in overseas markets where regulations already allow such transactions, Rau said, while India is likely to see a more gradual adoption focused on AI-assisted commerce rather than fully agent-initiated payments. He said that Pine Labs is already prototyping agent-driven payments in parts of the Middle East and Southeast Asia, even as Indian regulations require tighter controls on how payments are authorized.

For OpenAI, the partnership offers a route deeper into India’s payments and enterprise ecosystem as it looks to move beyond consumer-facing tools and embed its models into high-volume, regulated workflows. Rau said the collaboration is aimed at increasing merchant stickiness and expanding Pine Labs’ role from a payments processor to a broader commerce platform, with higher transaction volumes over time translating into incremental revenue.

Pine Labs says it works with more than 980,000 merchants, 716 consumer brands, and 177 financial institutions, and has processed over 6 billion cumulative transactions valued at over ₹11.4 trillion (about $126 billion), per its prospectus published last year. The fintech operates across 20 countries, including Malaysia, Singapore, Australia, parts of Africa, the UAE, and the U.S., giving the OpenAI partnership reach across both Indian and international markets.

Rau said the partnership does not involve revenue sharing between the two companies, with Pine Labs not taking a cut if its merchants choose to embed OpenAI’s tools. “We’ve kept it completely independent of each other — anything related to payment and payment services, we will get the benefit of it, and anything related to OpenAI revenues will go to them,” he said.

The arrangement, Rau added, is also non-exclusive. He compared it to OpenAI’s partnership with Stripe in the U.S. and said Pine Labs remains open to working with other AI providers.

Rau said Pine Labs is building additional security and compliance layers around AI-driven workflows to ensure that sensitive merchant and consumer transaction data remains protected, as the company integrates AI more deeply into its payments systems. He said the focus is on ensuring transactions remain secure and compliant even as more workflows are automated by AI.

Pine Labs’ interest in AI-driven commerce builds on earlier work through its Setu unit, which has experimented with agent-led bill payment experiences using chatbots including ChatGPT and Anthropic’s Claude. Separately, India also began piloting consumer payments directly through AI chatbots last year.

The new announcement comes as India hosts its AI Impact Summit in New Delhi, where global AI companies including OpenAI, Anthropic, and Google are showcasing their latest capabilities alongside Indian startups demonstrating AI applications aimed at large-scale deployment across sectors such as finance, healthcare, and education.

Gabriel Vasquez, a partner at Andreessen Horowitz, recently revealed he took nine flights from NYC to Stockholm in one year. While his visits included stops at companies like Lovable — where he posted from its office — the trips were also about finding future Swedish unicorns before they cross the Atlantic.

This all came to light when news emerged that a16z had led a $2.3 million pre-seed round into Dentio, a Swedish startup that uses AI to help dentists’ practices with admin work. While this is a small check for a firm that just announced new funds totaling $15 billion, it confirms that U.S. VCs are actively seeking deal flow outside of the U.S., even without local offices.

Stockholm is a natural stop for a16z, which previously achieved significant returns from backing Skype, cofounded by Swedish entrepreneur Niklas Zennström. Since then, a significant number of fast-growing startups have been created in the Swedish capital, and the VC heavyweight tracked down where many of them were coming from. 

“We spend a lot of time developing a deep understanding of specific markets and knowing where innovation is emerging. In Sweden, that has meant closely tracking ecosystems like SSE Labs — the startup incubator of the Stockholm School of Economics — and the companies coming out of it,” Vasquez told TechCrunch.

Like fintech giant Klarna, legal AI startup Legora, and e-scooter company Voi, Dentio is an alum of SSE Labs — a startup incubator that has produced several successful Swedish companies. The three former high school classmates Elias Afrasiabi, Anton Li and Lukas Sjögren joined the incubator after reconnecting as students at both the SSE (Stockholm School of Economics) and KTH (Royal Institute of Technology), then joined the incubator with additional backing from KTH’s Innovation Launch program. They tackled a problem close to home: Li’s mom, a dentist, had told them how admin work detracted from clinical care.

The trio intuited that they could leverage LLMs to help people like her — an idea that they also validated with her and her colleagues. This led them to Dentio’s initial product, a recording tool that uses AI to generate clinical notes. But it’s only a matter of time before AI scribes become a commodity product, and Dentio needs to prove its value to dentists so they aren’t tempted to switch providers when that happens, Afrasiabi said.

Potential competitors include fellow Swedish startup Tandem Health, which raised a $50 million Series A round last year to support clinicians with AI across multiple medical specialties. Dentio, by contrast, focuses exclusively on dentists, but it believes it can still reach the scale VCs expect through international expansion

“Now we’re a team of seven people, and we think that it’s possible to build a unified way of handling administration all over Europe, and maybe even all over the world,” Afrasiabi said. While Europe’s healthcare systems are fragmented, they share similarities, and Dentio’s assumption is that what works in Sweden could work elsewhere in the EU.

Dentio prominently features its “Made in Sweden” branding and emphasizes that “all relevant data is processed in Sweden and Finland in compliance with Swedish and EU law.” It signals data protection to privacy-conscious European customers. But it also signals potential to VCs — a callback to Sweden’s history of producing breakout companies.

“We went to zero meetups. I reached out to zero investors,” Afrasiabi said. While the team was heads down building, the word spread out. “I think it was mostly through referrals and people talking to each other that the news got all the way over to the U.S.,” he said.

This wasn’t happenstance: a16z has eyes around the world in order to spot these companies as early as local funds might, Vasquez said. “In Sweden for example, we partnered with top founders abroad like Fredrik Hjelm, founder of Voi, and Johannes Schildt, founder of Kry, by turning them into scouts and mapping the best local talent.”

For Vasquez, who focuses on AI application investments for a16z, this isn’t just about Sweden, but about “a pattern of great global companies being born abroad and scaling quickly,” from Black Forest Labs in Germany to Manus, the Singapore-based AI startup recently acquired by Meta.

Born and raised in El Salvador, he has also been spending time in São Paulo. “I’m really excited about what’s brewing in Brazil and across Latin America in AI,” he wrote on LinkedIn at the time. “I believe AI is the great equalizer,” he added. “Most people now have access to PhD-level intelligence on a phone, and ultimately, Silicon Valley is a state of mind.”

Correction: This story originally stated that a16z is an investor in Lovable owing to an editing error.

Neysa, an Indian AI infrastructure startup, has secured backing from U.S. private equity firm Blackstone as it scales domestic compute capacity amid India’s push to build homegrown AI capabilities.

Blackstone and co-investors, including Teachers’ Venture Growth, TVS Capital, 360 ONE Assets, and Nexus Venture Partners, have agreed to invest up to $600 million of primary equity in Neysa, giving Blackstone a majority stake, Blackstone and Neysa told TechCrunch. The Mumbai-headquartered startup also plans to raise an additional $600 million in debt financing as it expands GPU capacity, a sharp increase from the $50 million it had raised previously.

The deal comes as demand for AI computing surges globally, creating supply constraints for specialized chips and data center capacity needed to train and run large models. Newer AI-focused infrastructure providers — often referred to as “neo-clouds” — have emerged to bridge that gap by offering dedicated GPU capacity and faster deployment than traditional hyperscalers, particularly for enterprises and AI labs with specific regulatory, latency, or customisation requirements.

Neysa operates in this emerging segment, positioning itself as a provider of customized, GPU-first infrastructure for enterprises, government agencies, and AI developers in India, where demand for local compute is still at an early but rapidly expanding stage.

“A lot of customers want hand-holding, and a lot of them want round-the-clock support with a 15-minute response and a couple of our resolutions. And so those are the kinds of things that we provide that some of the hyperscalers don’t,” said Neysa co-founder and CEO Sharad Sanghi.

Ganesh Mani, a senior managing director at Blackstone Private Equity, said his firm estimates that India currently has fewer than 60,000 GPUs deployed — and it expects the figure to scale up nearly 30 times to more than two million in the coming years.

That expansion is being driven by a combination of government demand, enterprises in regulated sectors such as financial services and healthcare that need to keep data local, and AI developers building models within India, Mani told TechCrunch. Global AI labs, many of which count India among their largest user bases, are also increasingly looking to deploy computing capacity closer to users to reduce latency and meet data requirements.

The investment also builds on Blackstone’s broader push into data center and AI infrastructure globally. The firm has previously backed large-scale data centre platforms such as QTS and AirTrunk, as well as specialized AI infrastructure providers including CoreWeave in the U.S. and Firmus in Australia.

Neysa develops and operates GPU-based AI infrastructure that enables enterprises, researchers, and public sector clients to train, fine-tune, and deploy AI models locally. The startup currently has about 1,200 GPUs live and plans to sharply scale that capacity, targeting deployments of more than 20,000 GPUs over time as customer demand accelerates.

“We are seeing a demand that we are going to more than triple our capacity next year,” Sanghi said. “Some of the conversations we are having are at a fairly advanced stage; if they go through, then we could see it sooner rather than later. We could see in the next nine months.”

Sanghi told TechCrunch that the bulk of the new capital will be used to deploy large-scale GPU clusters, including compute, networking and storage, while a smaller portion will go toward research and development and building out Neysa’s software platforms for orchestration, observability, and security.

Neysa aims to more than triple its revenue next year as demand for AI workloads accelerates, with ambitions to expand beyond India over time, Sanghi said. Founded in 2023, the startup employs 110 people across offices in Mumbai, Bengaluru, and Chennai.

On Wednesday, xAI took the rare step of publishing a full 45-minute all-hands meeting video on X, making it publicly accessible. Details of the Tuesday night meeting were previously reported by The New York Times, which may have influenced xAI’s decision to post the video online.

The full video reveals significant new details about Musk’s plans for the AI lab, including its product roadmap and its ongoing ties to the X platform.

The most immediate revelation concerned a string of departing employees, which Musk described as layoffs resulting from a changing organizational structure at the company. While reorganizations are common, the breadth of the departures has caused significant confusion, particularly as it has meant the loss of a significant portion of the founding team.

“As a company grows, especially as quickly as xAI, the structure must evolve,” Musk said on X. “This unfortunately required parting ways with some people. We wish them well in future endeavors.”

The new organizational system splits xAI into four primary teams: one focused on the Grok chatbot (including voice), another for the app’s coding system, another for the Imagine video generator, and finally a team focused on the Macrohard project, which spans from simple computer use simulation to modeling entire corporations.

“[Macrohard] is able to do anything on a computer that a computer is able to do,” Toby Pohlen, who will lead the project under the new organizational structure, told his colleagues. “There should be rocket engines fully designed by AI.”

The all-hands also featured claims about new usage and revenue figures for xAI and X. Nikita Bier, X’s head of product, said X had “just crossed” $1 billion in annual recurring revenue from subscriptions, which he attributed to a marketing push during the holidays.

Additionally, executives said the xAI’s Imagine tool is generating 50 million videos a day, and more than 6 billion images over the past 30 days, according to their internal metrics.

But it’s difficult to separate those figures from the flood of deepfake pornography that overtook X during that same period. The X platform saw engagement skyrocket as AI-generated explicit images became more prevalent, and with an estimated 1.8 million sexualized images generated over just nine days, the image-generation figures likely include substantial amounts of this controversial content.

The most eye-catching part of the presentation came at the end, when Musk reemphasized the importance of space-based data centers despite the technical challenges involved. Musk went still further, envisioning a moon-based factory for AI satellites, including a lunar mass driver — essentially an electromagnetic catapult — to launch them. With such infrastructure, Musk said, one could launch an AI cluster capable of capturing significant portions of the sun’s total energy output or even expanding to other galaxies.

“It’s difficult to imagine what an intelligence of that scale would think about,” Musk said, “but it’s going to be incredibly exciting to see it happen.”

Samsung sent out invites Tuesday to its next Galaxy Unpacked event, scheduled for February 25 in San Francisco, where the company is expected to launch its Galaxy 26 series of smartphones.

AI features will be at the forefront again, as the company said the upcoming phones are “built to simplify everyday interactions, inspire confidence and make Galaxy AI feel seamlessly integrated from the moment it’s in hand.”

A standout feature the company has teased is a privacy display expected to debut on the Galaxy S26 Ultra.This feature will allow users to hide certain areas of the phone’s screen from onlookers to protect sensitive information. For instance, users will be able to hide the notification area from prying eyes.

Reports suggest that the top phone in the lineup will run Qualcomm’s latest Snapdragon Elite Gen 5 processor in the U.S. and China. Samsung will likely opt for its own Exynos 2600 processor in other regions. The distinction matters, but increasingly less so. Snapdragon processors have historically outperformed Samsung’s Exynos chips in benchmarks and thermal efficiency, but the performance gap has been narrowing.

According to a report from the tech site SamMobile, the S26 will also have a 5,100 mAh (milliamp-hour, a standard unit of battery capacity) battery and will support 60W wired charging along and 25W wireless charging.

In addition to phones, Samsung is likely to release updated Galaxy Buds 4 wireless earbuds. The company plans to update the design from the previous generation, which drew widespread comparisons to Apple’s AirPods.

The event will begin at 10 AM PT/ 1 PM ET/ 7 PM CET, and will be streamed live on Samsung’s website and its YouTube channel.

Samsung is offering a $30 promotional credit to anyone who pre-registers interest it its upcoming devices. Pre-registering is merely an expression of interest; consumers will still get the credit as a discount toward other Samsung products even if they don’t end up buying the new devices. If you pre-register and then pre-order one of the devices, the company will increase that to a $150 credit — no trade-in required.