deeptune.com ↗ · Status: active
confirmed · Founded ~2025 per official Series A blog ('since we started one year ago', Mar 2026); aggregators (Tracxn, CB Insights) and LinkedIn list 2022, conflict, leaning 2025 per primary source
Deeptune is a New York-based startup building managed reinforcement-learning environments ('training gyms') for computer-use and code, where AI agents practice and are evaluated on realistic digital knowledge-work tasks (simulating tools like Slack and Salesforce). It sells these pre-built environments primarily to frontier AI labs and raised a $43M Series A led by a16z, announced March 2026.
How we verified this
Independently re-verified via WebSearch and WebFetch against Fortune, the official deeptune.com Series A blog, a16z's investment post, and aggregators (Tracxn/CB Insights/PitchBook). Confirmed this is the correct company matching the directory note 'managed code and computer use environments' (RL 'training gyms' for computer-use and code sold to frontier labs). Core funding facts hold: $43M Series A led by a16z, announced March 19 2026, with 776/Abstract/Inspired and angels Noam Brown, Brendan Foody, Yash Patil. NYC HQ and ~20-person in-person team confirmed by Fortune. Founders Tim Lupo (CEO) and Lukas Schmit (CTO) verified. Two genuine conflicts surfaced: (1) founding year, official blog implies ~2025, aggregators/LinkedIn say 2022; (2) total raised, aggregators disagree ($46.1M vs $42.2M) while the round itself is $43M, so total_raised reframed and held at 'reported.' Customer claims are vendor/investor self-claims only (no named labs, no third-party confirmation), kept 'self-claimed.' No SOC 2, security page, or other certifications found anywhere, all left 'unknown.' No valuation disclosed. focus_areas all within controlled vocabulary. Overall confidence: medium.