Team8 Lands $365M to Back AI Enterprise

The big picture: Team8, a venture firm, has raised $365 million in new capital, bringing its total assets under management to nearly $2 billion across eight funds. The new capital includes $265 million for Team8 Capital’s third fund and over $100 million for follow-on investments in existing portfolio companies.

Why it matters:

• AI adoption gap: Enterprises are rapidly deploying AI agents and automating workflows, but security and governance systems are struggling to keep pace. A Team8 survey found 97% of organizations adopting AI agents, with 80% in production, yet average confidence in AI security was only 2.32 out of 5.
• Strategic investment shift: Team8 is focusing its investments on the critical infrastructure, security, orchestration, identity, and data layers needed to deploy AI safely and reliably within enterprises, rather than primarily on foundation models.
• Competitive differentiation: As access to advanced AI models becomes more widespread, competitive advantage for startups will increasingly come from proprietary data, workflow integration, security, identity, distribution, and deep customer problem-solving, not just the underlying model.

How it works:

• Fund III focus: The new fund will target Seed and Series A startups across cybersecurity, software infrastructure, fintech, and digital health, with a specific emphasis on companies built around AI from the ground up.
• Company-building model: Team8 pairs its investments with a 90-person company-building operation and a network of hundreds of enterprise executives, providing early-stage founders with access to potential customers and industry feedback.
• Proven track record: The firm has a history of successful exits, with portfolio companies acquired by major technology firms like Palo Alto Networks, Cisco, and PayPal, including Koi Security’s recent acquisition by Palo Alto Networks.

The catch: The market for AI infrastructure and security is rapidly attracting venture capital, potentially leading to increased competition for startups in these segments. Companies will need to demonstrate strong differentiation and execution to stand out beyond the general trend of AI-native solutions.