Patronus AI

This page may contain stale information. Last updated: 2026-06-28

Overview

Patronus AI is a San Francisco simulation infrastructure company building digital-world-models for training and stress-testing autonomous AI agents before production deployment. Founded in 2023 by ex-meta AI researchers Anand Kannappan and Rebecca Qian.

Recent Developments

• 2026-06-25: Raised $50MSeriesBledbyGreenfieldPartners;totalfunding$70M (2026-06-26-patronus-ai-50m-series-b-agent-simulation)
• Revenue: 15× growth over past year; works with majority of frontier AI labs and hyperscalers
• Product: Digital World Models — simulated replicas of websites and enterprise systems for RL-based agent evaluation
• Investors: Notable Capital, lightspeed-venture-partners, Datadog, Samsung, Factorial Capital, Gokul Rajaram
• Framed as “Waymo-style testing layer” for software agents in engineering and finance workflows

Related

• digital-world-models
• agent-simulation
• agentic-ai
• ai-investment-trends
• agentic-coding-infrastructure
• reinforcement-learning
• sim-to-real
• patronus-ai-50m-series-b-agent-simulation

Sources

• 2026-06-26-patronus-ai-50m-series-b-agent-simulation
• patronus-ai-50m-series-b-agent-simulation
• 2026-06-26-patronus-ai-techcrunch-series-b
• 2026-06-26-patronus-ai-official-announcement