3 VCs and 0 funds investing in Generative AI
Former Principal, Northzone (off current roster); Investor & Advisor
Northzone (Web3)
Check: No current personal check range or active fund mandate is public. Historical Northzone investments include seed and Series A through later follow-ons, but third-party Northzone range estimates are stale and do not establish present authority. Confirm current capacity directly.
At Northzone, Markus invested across enterprise applications, infrastructure, developer products and healthcare, with a strong DACH footprint. His operating experience at digital-health company Kry shaped an appetite for founders modernizing regulated markets despite entrenched incentives. Later deals show a widening lens: Reonic digitizes renewable-energy installers; Duvo automates exception-heavy retail operations; CuspAI applies generative models and physics to materials discovery; Black Forest Labs builds frontier visual intelligence. Across them, the common pattern is deep domain experience, a clear operational bottleneck and software or AI that changes an established value chain.
Partner
Craft Ventures
Check: No Mike-specific check range is public. Craft's official portfolio attributes angel/seed, venture and growth investments to him, but financing totals and round labels are not his check size. Confirm vehicle, ownership target, reserves and lead appetite directly.
Mike invests in enterprise software and AI products that deliver fast, legible value to an end user and can expand from bottom-up adoption into durable enterprise systems. His work links product architecture to buying behavior: a focused AI stack, proprietary retrieval and data access, excellent productization, a clear ideal customer profile and a repeatable go-to-market motion are more important than a broad market map or generic AI label.
Partner
Craft Ventures
Check: Firm-level public estimate: $500K-$3M at Seed, $3M-$10M+ at Series A/B, and $10M+ at Growth
Marg invests in generative AI, APIs, and enterprise AI agents, pairing an enterprise-buyer lens with deep go-to-market operating experience. His writing argues that AI markets should not be treated as uniformly attractive: durable winners need a concrete enterprise ICP, budget, renewal potential, traction, and a minimum viable stack that creates measurable employee or product value.