Veris AI
Veris AI is an end-to-end platform designed to train and test AI agents using high-fidelity, dynamic simulation environments. The platform enables AI agents to learn by doing—interacting with realistic, enterprise-specific scenarios rather than relying solely on prompt engineering or static, human-generated data. This experiential approach allows enterprises to safely develop, evaluate, and improve AI agents for complex tasks, supporting reinforcement learning and continuous improvement before agents are deployed in production environments.
Veris AI
Veris AI is an end-to-end platform designed to train and test AI agents using high-fidelity, dynamic simulation environments. The platform enables AI agents to learn by doing—interacting with realistic, enterprise-specific scenarios rather than relying solely on prompt engineering or static, human-generated data. This experiential approach allows enterprises to safely develop, evaluate, and improve AI agents for complex tasks, supporting reinforcement learning and continuous improvement before agents are deployed in production environments.
TL;DR
What they do: Simulation platform to train, test, and certify agentic AI with high-fidelity, stateful environments
Founders / leadership: Mehdi Jamei (CEO, co‑founder) and Andi Partovi (CTO, co‑founder)
Recent funding: $8.5M seed announced June 3, 2025
Target customers: Enterprises building multi-step, tool-using AI agents
Company Overview
Problem Domain
Bridging the gap between AI prototypes and production-ready agentic systems by providing safe, realistic simulation-based training and evaluation.
Industry
Artificial intelligence / AI infrastructure
Funding Track Record
$8.5M
Round described as oversubscribed with participation from The House Fund, Idris Mokhtarzada, Ian Livingstone, Dorothy Chang, and others.
Investor Signal
“Led by institutional seed investors (Decibel Ventures and Acrew Capital) with multiple other investors participating”