Team8 Raises $365 Million to Scale AI-Native Enterprise Ventures

The Israel-based venture creation platform splits the haul into two tranches: $265 million into Team8 Capital's third fund and $100 million earmarked for follow-on investments in existing portfolio startups. Total assets under management now sit near $2 billion, twelve years after the firm was founded in 2014.

The Capital Structure

The third fund is the deployment engine for new bets. The $100 million follow-on tranche solves a different problem: it gives Team8 dry powder to defend ownership positions across subsequent rounds instead of watching them dilute away. Stated targets are seed and Series A investments in AI-native enterprise companies.

The Operating Model

Team8 co-founds companies inside industry "villages" — clustered networks spanning cybersecurity, fintech, AI, and digital health. Operational scaffolding is provided before product exists. The structure costs more per investment than a standard check-and-board model and demands more from founders.

What the Track Record Shows

Three portfolio companies — Talon, Dig, and Koi — all landed at Palo Alto Networks. Three liquidity events funneled through a single acquirer. That is either strong pattern recognition in enterprise security deal flow or concentrated counterparty exposure. Likely both.

In 2026, Team8 added seven new cybersecurity portfolio names: Frame Security, Act Security, Mate Security, Jazz, Fig Security, Astelia, and Lema AI. Roughly one new investment every six weeks this year. Velocity is high.

The Thesis

Managing Partner Sarit Firon stated the bet directly: competitive advantage shifts from underlying model quality to enterprise problems that survive technology cycles. The firm is not chasing foundation models. It is funding verticalized applications with enterprise distribution.

Verdict

For AI-native enterprise founders, Team8 is a relevant seed check with follow-on capacity that holds through dilution — the $100 million tranche matters more than the headline number. For LPs, $365 million at nearly $2 billion AUM is mid-scale; returns hinge on whether the AI-native enterprise thesis survives the next capital cycle. Watch the Series B conversion rate of the 2026 cybersecurity cohort. That is the real test of the venture creation model at this scale.