Silicon Valley, CA  -  Veris AI, a cutting-edge startup developing a simulation-based training platform for enterprise AI agents, has raised $8.5 million in seed funding. The round was led by Decibel Ventures, with participation from Acrew Capital, The House Fund, and prominent angel investors such as Ian Livingstone, Idris Mokhtarzada, and Dorothy Chang. The company’s co-founder and CEO, Mehdi Jamei, shared the news via LinkedIn, highlighting the growing demand for scalable, intelligent enterprise AI solutions.

What is Veris AI?

Veris AI is building what it calls a “training ground for enterprise AI agents” - a robust, high-fidelity simulation platform that helps organizations deploy AI agents capable of performing complex business tasks. Unlike many AI companies focused solely on models or APIs, Veris AI is tackling the training infrastructure - ensuring that AI agents learn by doing, not just by instruction.

Their platform enables businesses to simulate real-world scenarios in secure, controlled environments. These enterprise-grade simulations allow AI agents to make decisions, execute tasks, adapt to feedback, and ultimately evolve into smarter, more effective tools for automation and decision-making.

The Problem Veris AI Solves

While large language models and generative AI tools like ChatGPT and Claude have exploded in popularity, their application in enterprise settings often falls short due to lack of contextual understanding and domain-specific learning. Most AI agents are only as good as the instructions they’re given - meaning they fail in environments that require adaptability, autonomy, and nuanced decision-making.

Veris AI solves this by creating a sandbox where agents can train and retrain through experience. Think of it as a boot camp for AI workers - training them not through static datasets, but through dynamic, experience-driven learning environments tailored to enterprise needs.

And this shift - from static instruction to immersive simulation - unlocks something much bigger than productivity gains. It reveals a massive strategic opportunity for startups and enterprise builders alike: owning the agent training layer is how you own the AI value chain.

Here’s why that matters. The market is flooded with access to large models, from open-source LLMs to multimodal APIs. In a few years, the model itself won’t be the differentiator - it’ll be the environment in which it learns, adapts, and performs. Veris AI is effectively creating a proprietary engine of enterprise intelligence by building closed-loop simulation systems that capture internal workflows, user feedback, and domain-specific edge cases. That data? It doesn’t just refine the agent - it compounds value over time.

For founders, this is a blueprint: the real moat in enterprise AI will not be who calls the model, but who trains it in context. If your platform is where agents get smarter - where they simulate, stumble, recover, and improve - you don’t just sell software. You become the learning infrastructure for the entire enterprise stack.

This is the hidden layer of vertical AI - where defensibility comes from accumulated learning, not parameter counts.

A Strategic Bet on the Future of Work

The funding comes at a time when businesses across industries are racing to integrate AI into their operations - from finance to customer service to logistics. And the timing couldn’t be better. According to Grand View Research, the global enterprise AI market was valued at $6.81 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 34.6% from 2023 to 2030.

A separate report from Gartner predicts that by 2026, over 75% of enterprises will use AI agents in at least three business functions, and AI-driven automation will reduce operational costs by 30% in core service areas. But to realize these benefits, enterprises need agents that don’t just perform - they must understand complex workflows and adapt in real time.

Veris AI is positioning itself at the intersection of two powerful trends: the rise of autonomous agents and the need for enterprise-grade reliability. By providing a simulation infrastructure, Veris AI empowers businesses to develop, test, and deploy agents that are capable of real-world reasoning, learning from past experiences, and adapting to new challenges.

Backed by Industry Heavyweights

The $8.5 million seed round is a strong vote of confidence from top-tier investors. Decibel Ventures, known for backing ambitious early-stage tech companies, led the round, with significant contributions from Acrew Capital, The House Fund, and seasoned operators in the tech ecosystem.

According to sources close to the funding round, investors were impressed by Veris AI’s potential to become foundational infrastructure for enterprise AI workflows. With the AI agent space becoming increasingly competitive, Veris AI’s unique approach - prioritizing training environments over just inference - stood out.

The Team Behind Veris AI

Veris AI is helmed by Mehdi Jamei, a repeat founder with deep expertise in machine learning and enterprise software. The company brings together a multidisciplinary team of AI researchers, simulation engineers, and enterprise operations experts who understand both the capabilities and limitations of current AI systems.

Their goal is to close the gap between generic AI models and enterprise-ready AI agents. And they’re doing it not by building yet another LLM - but by creating the infrastructure those models need to succeed in business settings.

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What’s Next for Veris AI?

With its seed funding secured, Veris AI plans to expand its engineering team, onboard early enterprise customers, and continue refining its simulation engine. The company is already in pilot programs with a handful of Fortune 500 companies, using AI agents to handle tasks ranging from internal support to document processing and workflow orchestration.

Long-term, Veris AI envisions a future where every enterprise has a fleet of AI agents - trained, tested, and deployed through their platform. Much like how Salesforce became the system of record for customer relationships, Veris AI wants to be the system of training for enterprise automation.