How much funding has Veris AI raised?

Veris AI has raised $8.5 million in total funding. Their latest funding round was Seed. Key investors include Decibel Ventures, Acrew Capital, Ian Livingstone, The House Fund, Idris Mokhtarzada, Dorothy Chang.

Where is Veris AI headquartered?

Veris AI is headquartered in New York, NY, USA. The company has a team of 1-10 people.

What does Veris AI do?

Veris AI operates in the AI Agents sector. An end-to-end platform to teach and deploy enterprise AI agents using high-fidelity simulation environments for training and testing. Provides enterprises with safe, realistic simulation-based training ensuring AI agents are production-ready, accurate, and governed for domain-specific tasks.

When was Veris AI founded?

Veris AI was founded in 2025. It is based in New York, NY, USA.

Who is the CEO of Veris AI?

Mehdi Jamei is the CEO of Veris AI. The company was founded in 2025.

Where is Veris AI located?

Veris AI is headquartered in New York, NY, USA.

What funding stage is Veris AI at?

Veris AI is currently at the Seed stage.

How many employees does Veris AI have?

Veris AI has approximately 1-10 employees.

Veris AI

Category: AI Agents

An end-to-end platform to teach and deploy enterprise AI agents using high-fidelity simulation environments for training and testing. Veris AI was founded in 2025. The company is led by Mehdi Jamei. Based in New York, NY, USA. Team size: 1-10. Total funding raised: $8.5 million. Latest round: Seed. Key investors include Decibel Ventures, Acrew Capital, Ian Livingstone, The House Fund, Idris Mokhtarzada, Dorothy Chang.

Founded: 2025
Headquarters: New York, NY, USA
Team size: 1-10
Total funding: $8.5 million

Value proposition

Provides enterprises with safe, realistic simulation-based training ensuring AI agents are production-ready, accurate, and governed for domain-specific tasks.

Products and solutions

Veris for benchmarking (incl. VAmoS Bench voice-agent leaderboard, Jul 2026), Veris for Agentic SDLC (stateful dependency sandboxes for coding agents), Veris Simulation Sandbox / Veris Plus (self-serve, Apr 2026), post-training via RL/SFT on simulation data

Unique value

Adopts a 'simulation-first' and 'experience-driven' methodology for training AI agents, building an 'environment layer' that contrasts with traditional prompt engineering approaches.

Target customer

Enterprises in sectors such as financial services, HR, and manufacturing needing specialized, reliable AI agents for complex tasks

Industries served

Financial Services, HR Tech, Manufacturing, Enterprise Productivity

Technology advantage

Leverages high-fidelity simulations combined with reinforcement learning to prepare AI agents for domain-specific, complex workflows, ensuring production-readiness and safety.

How they differentiate

Focuses on experiential training through simulated environments to ensure AI agents are safe, reliable, and production-ready for enterprise-specific applications.

Main competitors

Large AI research entities such as DeepMind and Microsoft Research, Other startups in the AI agent development and MLOps tool space

Key partnerships

Google Cloud Marketplace (March 2026), Microsoft Foundry collaboration with Lume Security (March 2026), AWS Bedrock AgentCore collaboration (May 2026), early-stage customers in fintech, HR, and manufacturing sectors

Notable customers

A consumer fintech company (for compliant chatbots), An HR tech company (for executive assistant AI agents), A manufacturing company (for supply chain AI agents), Lume Security (cybersecurity AI agent via Microsoft Foundry, 2026)

Major milestones

Emerged from stealth mode (June 2025), Secured $8.5 million in seed funding (June 2025), Announced availability on Google Cloud Marketplace (March 2026), Launched Veris Plus self-serve sandbox (April 2026), AWS Bedrock AgentCore collaboration (May 2026), Launched VAmoS Bench voice-agent benchmark (July 2026)

Growth metrics

Not publicly disclosed beyond initial funding and early customer engagements

Market positioning

Early-stage company providing critical simulation and training infrastructure for enterprise AI agents.

Geographic focus

Primarily US-based (New York headquarters) with a global view on competition in the AI space

Patents and IP

Not publicly disclosed

About Mehdi Jamei

Mehdi Jamei is the Co-founder and CEO of Veris AI. He holds a Ph.D. in electrical engineering and computer science from the University of California at Berkeley. He previously led agentic AI at System and Workmate.

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Official website: https://veris.ai/