Team8 raises $365 million to back AI-native startups across cybersecurity, infrastructure, fintech, and digital health

Team8 has raised $365 million in new capital, giving the venture firm fresh ammunition to bet on startups building the infrastructure, security, financial technology, and healthcare systems needed as AI moves deeper into the enterprise.

The new capital includes $265 million for Team8 Capital’s third fund and more than $100 million earmarked for follow-on investments in portfolio companies where the firm sees the strongest potential. The latest raise brings Team8’s total assets under management to nearly $2 billion across eight funds since its founding in 2014.

Fund III will target Seed and Series A startups across cybersecurity, software infrastructure, fintech, and digital health, with a particular focus on companies being built around AI from the ground up.

The timing reflects a growing tension inside large companies. Businesses are racing to deploy AI agents and automate more work, yet the security and governance systems surrounding those agents are still catching up.

Team8 says a survey of 111 security leaders at its latest CISO Village Summit found that 97% of their organizations had started adopting AI agents, with 80% already running agents in production. Their average confidence in their ability to secure AI stood at just 2.32 out of 5.

That gap is becoming an investment thesis.

Team8 Bets the Next AI Winners Will Be Built Above the Model Layer

Rather than betting primarily on companies developing foundation models, Team8 sees opportunities in the technology enterprises will need to put AI to work safely and reliably. The firm pointed to AI infrastructure, orchestration, identity, data, and security as areas where it expects new companies to emerge.

“AI is fundamentally rewriting the economics of company building. Developing breakthrough technology has never been easier; building a company that endures has never been harder,” said Sarit Firon, Managing Partner at Team8. “As AI capabilities continue to evolve at a pace none of us has seen before, competitive advantage won’t come from the model underneath a product- it will come from solving fundamental enterprise problems that stay relevant across technology cycles.”

That distinction could become more significant as access to advanced AI models spreads. If competing startups can tap similar underlying intelligence, differentiation may shift to what they build around those models, including proprietary data, workflow integration, security, identity, distribution, and deep knowledge of customer problems.

Team8 already has some evidence behind that strategy. The firm has built or backed companies that were later acquired by Palo Alto Networks, Cisco, PayPal, and other major technology companies. Its newest fund recorded an exit before its final close following Palo Alto Networks’ reported acquisition of portfolio company Koi Security in February.

Team8 Capital is led by Managing Partners Sarit Firon and Liran Grinberg, alongside Partners Ori Barzilay and Hadar Siterman Norris. The firm pairs its investments with a company-building operation of more than 90 people and a network of hundreds of enterprise executives, giving early-stage founders access to potential customers and industry feedback during product development.

“We built this firm on the belief that broad and deep context, not capital, is the scarcest resource at the earliest stage of a company’s life,” said Liran Grinberg, Co-Founder and Managing Partner at Team8.

The $365 million raise comes as venture investors increasingly look beyond the race to build bigger AI models and toward the software layers required to make AI useful inside businesses. Security may prove particularly fertile territory as autonomous agents gain access to corporate data, applications, credentials, and workflows.

For Team8, that creates a straightforward bet: the AI boom won’t stop at the model. A large part of the next startup opportunity could come from building everything enterprises need around it.