Technology

Nvidia’s AI empire: A look at its top startup investments

No company has capitalized on the AI revolution more dramatically than Nvidia. Its revenue, profitability, and cash reserves have skyrocketed since the introduction of ChatGPT over two years ago — and the many competitive generative AI services that have launched since. And its stock price soared.

During that period, the world’s leading high-performance GPU maker has used its ballooning fortunes to significantly increase investments in all sorts of startups but particularly in AI startups.

The chip giant ramped up its venture capital activity in 2024, participating in 49 funding rounds for AI companies, a sharp increase from 34 in 2023, according to PitchBook data. It’s a dramatic surge in investment compared to the previous four years combined, during which Nvidia funded only 38 AI deals. Note that these investments exclude those made by its formal corporate VC fund, NVentures, which also significantly ramped up its investing in the last two years. (PitchBook says NVentures engaged in 24 deals in 2024, compared to just 2 in 2022.)

In 2025, Nvidia has already participated in seven rounds.

Nvidia has stated that the goal of its corporate investing is to expand the AI ecosystem by backing startups it considers to be “game changers and market makers.”

Below is a list of startups that raised rounds exceeding $100 million where Nvidia is a named participant since 2023, including new ones it has backed so far in 2025, organized from the highest amount to lowest raised in the round.

The billion-dollar-round club

OpenAI: Nvidia backed the ChatGPT maker for the first time in October, reportedly writing a $100 million check toward a colossal $6.6 billion round that valued the company at $157 billion. The chipmaker’s investment was dwarfed by OpenAI’s other backers, notably Thrive, which according to the New York Times invested $1.3 billion.

xAI: Nvidia participated in the $6 billion round of Elon Musk’s xAI. The deal revealed that not all of OpenAI’s investors followed its request to refrain from backing any of its direct competitors. After investing in the ChatGPT maker in October, Nvidia joined xAI’s cap table a few months later.

Inflection: One of Nvidia’s first significant AI investments also had one of the most unusual outcomes. In June 2023, Nvidia was one of several lead investors in Inflection’s $1.3 billion round, a company founded by Mustafa Suleyman, who earlier founded DeepMind. Less than a year later, Microsoft hired Inflection AI’s founders, paying $620 million for a non-exclusive technology license, leaving the company with a significantly diminished workforce and a less defined future.

Wayve: In May, Nvidia participated in a $1.05 billion round for the U.K.-based startup, which is developing a self-learning system for autonomous driving. The company is testing its vehicles in the U.K. and the San Francisco Bay Area.

Scale AI: In May 2024, Nvidia joined Accel and other tech giants Amazon and Meta to invest $1 billion in Scale AI, which provides data-labeling services to companies for training AI models. The round valued the San Francisco-based company at nearly $14 billion.

The many-hundreds-of-millions-of-dollars club

Crusoe: A startup building data centers reportedly to be leased to Oracle, Microsoft, and OpenAI raised $686 million in late November, according to an SEC filing. The investment was led by Founders Fund, and the long list of other investors included Nvidia.

Figure AI: In February 2024, AI robotics startup Figure raised a $675 million Series B from Nvidia, OpenAI Startup Fund, Microsoft, and others. The round valued the company at $2.6 billion.

Mistral AI: Nvidia invested in Mistral for the second time when the French-based large language model developer raised a $640 million Series B at a $6 billion valuation in June.

Lambda: AI cloud provider Lambda, which provides services for model training, raised a $480 million Series D at a reported $2.5 billion valuation in February. The round was co-led by SGW and Andra Capital Lambda, and joined by Nvidia, ARK Invest and others. A significant part of Lambda’s business involves renting servers powered by Nvidia’s GPUs.

Cohere: In June, Nvidia invested in Cohere’s $500 million round, a large language model provider serving enterprises. The chipmaker first backed the Toronto-based startup in 2023.

Perplexity: Nvidia first invested in Perplexity in November of 2023 and has participated in every subsequent round of the AI search engine startup, including the $500 million round in December, which values the company at $9 billion, according to PitchBook data.

Poolside: In October, the AI coding assistant startup Poolside announced it raised $500 million led by Bain Capital Ventures. Nvidia participated in the round, which valued the AI startup at $3 billion.

CoreWeave: Nvidia invested in the AI cloud computing provider in April 2023, when CoreWeave raised $221 million in funding. Since then, CoreWeave’s valuation has jumped from about $2 billion to $19 billion, and the company has filed for an IPO. CoreWeave allows its customers to rent Nvidia GPUs on an hourly basis.

Together AI: In February, Nvidia participated in the $305 million Series B of this company, which offers cloud-based infrastructure for building AI models. The round valued TogetherAi at $3.3 billion, and was co-led by Prosperity7, a Saudi Arabian venture firm, and General Catalyst. Nvidia backed the company for the first time in 2023.

Sakana AI: In September, Nvidia invested in the Japan-based startup, which trains low-cost generative AI models using small datasets. The startup raised a massive Series A round of about $214 million at a valuation of $1.5 billion.

Imbue: The AI research lab that claims to be developing AI systems that can reason and code raised a $200 million round in September 2023 from investors, including Nvidia, Astera Institute, and former Cruise CEO Kyle Vogt.

Waabi: In June, the autonomous trucking startup raised a $200 million Series B round co-led by existing investors Uber and Khosla Ventures. Other investors included Nvidia, Volvo Group Venture Capital, and Porsche Automobil Holding SE.

Deals of over a $100 million

Ayar Labs: In December, Nvidia invested in the $155 million round of Ayar Labs, a company developing optical interconnects to improve AI compute and power efficiency. This was the third time Nvidia backed the startup.

Kore.ai: The startup developing enterprise-focused AI chatbots raised $150 million in December of 2023. In addition to Nvidia, investors participating in the funding included FTV Capital, Vistara Growth, and Sweetwater Private Equity.

Hippocratic AI: This startup, which is developing large language models for healthcare, announced in January that it raised a $141 million Series B at a valuation of $1.64 billion led by Kleiner Perkins. Nvidia participated in the round, along with returning investors Andreessen Horowitz, General Catalyst and others. The company claims that its AI solutions can handle non-diagnostic patient-facing tasks such as pre-operating procedures, remote patient monitoring, and appointment preparation.

Weka: In May, Nvidia invested in a $140 million round for AI-native data management platform Weka. The round valued the Silicon Valley company at $1.6 billion.

Runway: In June of 2023, Runway, a startup building generative AI tools for multimedia content creators, raised a $141 million Series C extension from investors, including Nvidia, Google, and Salesforce.

Bright Machines: In June 2024, Nvidia participated in a $126 million Series C of Bright Machines, a smart robotics and AI-driven software startup.

Enfabrica: In September 2023, Nvidia invested in networking chips designer Enfabrica’s $125 million Series B. Although the startup raised another $115 million in November, Nvidia didn’t participate in the round.

Editor’s note: Previous version of this story incorrectly stated that Nvidia is a backer of Safe Superintelligence and an investor in Vast Data’s Series E round. Nvidia hasn’t invested in Vast Data since the company’s Series D.

Technology

The Case for Custom eLearning Platforms: Why Organizations Are Making the Switch

aloe vera plant on grey pot on table with MacBook Pro and iPad

The corporate eLearning market has exploded in recent years, growing over 800% since 2000. As the demand for eLearning continues to accelerate, more and more organizations are finding that off-the-shelf solutions cannot keep pace with their training needs. This has led many companies to make the switch to custom-built eLearning platforms tailored specifically for their requirements.

There are several key reasons driving the demand for customized eLearning tools:

Greater Flexibility and Scalability

Generic eLearning software packages often impose rigid constraints that limit their ability to adapt to an organization’s evolving needs. Meanwhile, the “one-size-fits-all” approach fails to support the personalized learning critical for employee development. Custom platforms provide flexibility to add and modify features to match ever-changing business goals. As companies scale training across global workforces, custom solutions built on cloud infrastructure can scale seamlessly to handle growing demand.

Deeper Integration Across Systems

Smooth integration with existing HR, LMS, and other business systems is critical for optimizing training workflows. However, off-the-shelf tools rarely integrate well, creating data and process siloes. Custom platforms can tightly integrate role-based learning paths with core business applications, sync user profiles, enable single sign-on, and more. This level of integration catalyzes more impactful training function.

Better Data and Analytics

Generic software severely limits access to data insights that drive improvement. Custom platforms unlock a trove of analytics on content consumption, learner progression, platform adoption, and real-time feedback. Integrated analytics dashboards and APIs allow businesses to derive deep visibility across the learner lifecycle. These insights help continuously enhance learner experience, target development gaps, and demonstrate direct training ROI.

Enhanced Learner Engagement

For modern learners accustomed to consumer-grade digital experiences, poor platform usability quickly erodes engagement. Custom designs allow companies to incorporate familiar features from popular apps and websites while optimizing for their audience. Adaptive learning approaches further personalize content to individual styles and needs. With modular component architecture, custom platforms stay on the cutting edge of new modalities like AR/ VR to captivate learners.

Brand and Culture Alignment

Off-the-shelf tools impose a generic and often disruptive experience that clashes with existing brand identity and culture. In contrast, custom platforms allow organizations to carry over familiar styling, voice, and workflow patterns. Consistency in experience preserves brand recognition while smoother onboarding leads to wider adoption across all employee groups. Over time, the platform can evolve alongside cultural changes as well.

While custom elearning tools require greater upfront investment, for enterprise training needs, the long-term benefits far outweigh the costs. The ability to mold platforms to current and future needs results in greater leverage from learning spend.

As businesses demand ever-more from their learning technology, custom solutions provide the agility needed for true scale. Rather than forcing training functions into the constraints of generic software, custom elearning development keeps the focus on nurturing talent and capabilities. For any organization looking to drive workforce transformation through learning, custom elearning represents the way forward.

Technology

Pintarnya raises $16.7M to power jobs and financial services in Indonesia

Pintarnya, an Indonesian employment platform that goes beyond job matching by offering financial services along with full-time and side-gig opportunities, said it has raised a $16.7 million Series A round.

The funding was led by Square Peg with participation from existing investors Vertex Venture Southeast Asia & India and East Ventures.

Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan founded Pintarnya in 2022 to tackle two of the biggest challenges Indonesians face daily: earning enough and borrowing responsibly.

“Traditionally, mass workers in Indonesia find jobs offline through job fairs or word of mouth, with employers buried in paper applications and candidates rarely hearing back. For borrowing, their options are often limited to family/friend or predatory lenders with harsh collection practices,” Henry Hendrawan, co-founder of Pintarnya, told TechCrunch. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

Around 59% of Indonesia’s 150 million workforce is employed in the informal sector, highlighting the difficulties these workers encounter in accessing formal financial services because they lack verifiable income and official employment documentation.

Pintarnya tackles this challenge by partnering with asset-backed lenders to offer secured loans, using collateral such as gold, electronics, or vehicles, Hendrawan added.

Since its seed funding in 2022, the platform currently serves over 10 million job seeker users and 40,000 employers nationwide. Its revenue has increased almost fivefold year-over-year and expects to reach break-even by the end of the year, Hendrawn noted. Pintarnya primarily serves users aged 21 to 40, most of whom have a high school education or a diploma below university level. The startup aims to focus on this underserved segment, given the large population of blue-collar and informal workers in Indonesia.

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“Through the journey of building employment services, we discovered that our users needed more than just jobs — they needed access to financial services that traditional banks couldn’t provide,” said Hendrawan. “We digitize job matching with AI to make hiring faster and we provide workers with safer, healthier lending options — designed around what they can reasonably afford, rather than pushing them deeper into debt.”

Pintarnya Founders Press Kit — image credits: Pintarnya (Founders of Pintarnya Ghirish Pokardas, Nelly Nurmalasari, and Henry Hendrawan)

While Indonesia already has job platforms like JobStreet, Kalibrr, and Glints, these primarily cater to white-collar roles, which represent only a small portion of the workforce, according to Hendrawan. Pintarnya’s platform is designed specifically for blue-collar workers, offering tailored experiences such as quick-apply options for walk-in interviews, affordable e-learning on relevant skills, in-app opportunities for supplemental income, and seamless connections to financial services like loans.

The same trend is evident in Indonesia’s fintech sector, which similarly caters to white-collar or upper-middle-class consumers. Conventional credit scoring models for loans, which rely on steady monthly income and bank account activity, often leave blue-collar workers overlooked by existing fintech providers, Hendrawan explained.

When asked about which fintech services are most in demand, Hendrawan mentioned, “Given their employment status, lending is the most in-demand financial service for Pintarnya’s users today. We are planning to ‘graduate’ them to micro-savings and investments down the road through innovative products with our partners.”

The new funding will enable Pintarnya to strengthen its platform technology and broaden its financial service offerings through strategic partnerships. With most Indonesian workers employed in blue-collar and informal sectors, the co-founders see substantial growth opportunities in the local market. Leveraging their extensive experience in managing businesses across Southeast Asia, they are also open to exploring regional expansion when the timing is right.

“Our vision is for Pintarnya to be the everyday companion that empowers Indonesians to not only make ends meet today, but also plan, grow, and upgrade their lives tomorrow … In five years, we see Pintarnya as the go-to super app for Indonesia’s workers, not just for earning income, but as a trusted partner throughout their life journey,” Hendrawan said. “We want to be the first stop when someone is looking for work, a place that helps them upgrade their skills, and a reliable guide as they make financial decisions.”

Technology

OpenAI warns against SPVs and other ‘unauthorized’ investments

In a new blog post, OpenAI warns against “unauthorized opportunities to gain exposure to OpenAI through a variety of means,” including special purpose vehicles, known as SPVs.

“We urge you to be careful if you are contacted by a firm that purports to have access to OpenAI, including through the sale of an SPV interest with exposure to OpenAI equity,” the company writes. The blog post acknowledges that “not every offer of OpenAI equity […] is problematic” but says firms may be “attempting to circumvent our transfer restrictions.”

“If so, the sale will not be recognized and carry no economic value to you,” OpenAI says.

Investors have increasingly used SPVs (which pool money for one-off investments) as a way to buy into hot AI startups, prompting other VCs to criticize them as a vehicle for “tourist chumps.”

Business Insider reports that OpenAI isn’t the only major AI company looking to crack down on SPVs, with Anthropic reportedly telling Menlo Ventures it must use its own capital, not an SPV, to invest in an upcoming round.