Veris AI provides a platform that lets companies train and test AI agents through high-fidelity simulated experiences, enabling reinforcement learning and experiential training rather than relying solely on human-generated data. The company’s simulation-first approach aims to improve agent accuracy, consistency, governance, and continuous improvement to meet enterprise requirements. Veris emerged from stealth and is working with early customers across financial services, enterprise productivity, and manufacturing to train compliant chatbots, executive assistant agents, and supply-chain agents. Founders Mehdi Jamei (CEO) and Andi Partovi (CTO) combine academic and enterprise experience: Jamei holds a Ph.D. in electrical engineering and computer science from UC Berkeley and formerly led agentic AI at System and Workmate; Partovi earned a Ph.D. in brain‑computer interfaces from the University of Melbourne and was previously a Solutions Architect at Google and Founder/CTO at KeyLead Health. The company plans to use the seed funding to hire engineers and data scientists and to open a waitlist to additional enterprise customers. Veris positions itself to close the gap between base AI models and production-ready, compliant AI agents for enterprises.

Total raised

$9M

Funding rounds

1

Latest round

Seed

Latest activity

Jun 2025