
Veris AI is pioneering the future of autonomous artificial intelligence by empowering enterprises to build fully autonomous workforces through advanced simulation-based training. We envision a world where AI agents are not just reactive tools but proactive, self-improving members of complex business ecosystems, capable of navigating and mastering real-world scenarios safely and effectively.
Our platform provides a groundbreaking environment layer where AI agents learn and evolve through dynamic, high-fidelity simulations that mirror the intricacies and risks of real enterprise processes. By fostering continuous agent development with verifiable metrics and a safe sandbox, we enable companies to deploy AI with unprecedented confidence and reliability.
Driven by a commitment to push the boundaries of what autonomous AI can achieve, Veris AI is laying the foundation for a future where intelligent agents seamlessly integrate into critical business functions, transforming the landscape of enterprise operations and innovation.
Our Review
We'll be honest—when we first heard about Veris AI's approach to training enterprise AI agents, we thought it sounded almost too ambitious. A simulation platform that mimics real-world business environments? It felt like something straight out of a sci-fi movie. But after digging into what founders Mehdi Jamei and Andi Partovi have built, we're genuinely impressed by how they've tackled one of enterprise AI's biggest unsolved problems.
The Missing Piece We Didn't Know We Needed
Here's what caught our attention: most companies are still training AI agents the old-fashioned way—feeding them static data and hoping for the best when they hit production. Veris AI flips this entirely on its head. Their platform lets enterprises create high-fidelity simulations where AI agents can make mistakes, learn from them, and iterate thousands of times before they ever touch real business operations.
Think of it like a flight simulator for pilots, but for AI agents handling your customer support or logistics. It's brilliant in its simplicity, yet we can't believe no one cracked this code sooner.
Why the Timing Feels Perfect
The $8.5 million seed round led by Decibel Ventures and Acrew Capital tells us we're not the only ones excited about this approach. What's particularly smart about Veris AI's positioning is how they've recognized that enterprises need their AI agents to be bulletproof before deployment—especially in sensitive or mission-critical processes.
We love that they're not trying to be everything to everyone. Instead, they're laser-focused on solving the "environment layer" problem that's been holding back agentic AI adoption in enterprise settings.
The Founders Know Their Stuff
Both Jamei (with his UC Berkeley Ph.D. and enterprise AI experience) and Partovi (brain-computer interfaces background plus Google experience) bring exactly the right mix of academic rigor and real-world enterprise knowledge. This isn't a couple of fresh graduates with a cool idea—these are seasoned professionals who've seen firsthand why current AI training methods fall short.
Their combined expertise in both the theoretical and practical sides of AI gives us confidence they can actually deliver on this ambitious vision.
Who Should Pay Attention
Veris AI isn't for everyone, and that's actually a strength. If you're a large enterprise looking to deploy autonomous AI agents in complex, high-stakes environments—customer service, logistics, IT operations—this platform could be game-changing. The ability to safely test and refine AI behavior before it impacts real operations is exactly what risk-averse enterprises have been waiting for.
For smaller companies or those just experimenting with basic AI applications, Veris might be overkill. But for organizations where AI mistakes could mean real business consequences? This feels like the missing infrastructure they've been needing all along.
High-fidelity, dynamic simulations tailored to specific enterprise scenarios
Reinforcement learning with iterative agent improvement
Synthetic scenarios, verifiable rewards, and production logs
Safe sandbox environment for risk-free agent training
Continuous improvement through thousands of simulation runs






