Fundraising FoxVeris
Chappaqua, US · 2 known investors
Find your way into Veris
Sign up to see every warm intro you have to Veris
- Paths you didn't know you had: your email and LinkedIn already hold routes to the Veris team. We find them
- 2nd- and 3rd-degree connections: the friend-of-a-friend routes you can't see from your own inbox or LinkedIn
- Answers now, not in days: momentum is everything in a raise. Skip asking around whether someone knows someone
Days of research, done the moment you sign in, with every route ranked by how warm it is.
Veris provides high-fidelity simulated sandbox environments to develop, stress-test, and train enterprise AI agents without using real customer or production data. It targets regulated industries and enterprises building AI agents on any technology, offering scenario simulation, reinforcement fine-tuning, and reliability evaluation before deployment.
Also known as Veris AI · veris.ai
Founders & leadership
Investors · 2
How we know: the company's own site · a partner's Signal profile · the VCSheet dataset · open dataset · 5k.vc investor directory · Not right? Tell us
How we know: Acrew Capital's portfolio page · a partner's Signal profile · open dataset · 5k.vc investor directory · Not right? Tell us
Company profile
researched Aug 2026Veris AI provides simulation infrastructure for enterprise AI agents. Its platform creates a simulated copy of a customer's systems, data, APIs and users, in which AI agents can be tested, trained and developed before touching production environments. Scenarios, tool calls and user interactions are simulated, so no real customer data is required; customers can use synthetic data or bring their own.
The platform is marketed in two configurations. "Veris for benchmarking" lets an organization construct a benchmark from its own policies, workflows and systems and then grade agents it buys or builds — vendor AI, copilots, voice agents, chat agents and tool-calling agents — end to end inside a twin of production. "Veris for Agentic SDLC" gives coding agents such as Claude Code, Codex, Cursor and GitHub Copilot a stateful simulation of their dependencies so integration tests run and issues are fixed before a pull request is opened. Related capabilities described by the company include reinforcement fine-tuning of agents in simulated environments, dynamic benchmarking through environments rather than datasets, and converting production incidents into training material for self-improving agents.
The company publishes benchmarks and technical reports, including VAmoS Bench, which ranks 17 voice-agent systems on the same simulated calls via a public leaderboard, and SantaBench.
Business model
Software platform sold to enterprises, deployable in the customer's VPC, in the customer's own data centre, or as Veris Cloud; also distributed through Google Cloud Marketplace.
Traction
Publishes public benchmarks and leaderboards, including VAmoS Bench covering 17 voice-agent systems, and holds SOC 2 Type II, HIPAA and GDPR compliance attestations. Listed on Google Cloud Marketplace as of March 2026.
Latest developments
Between late 2025 and mid-2026 the company published technical work on reinforcement fine-tuning for domain-specific enterprise agents, dynamic benchmarking, and turning production incidents into agent improvements; announced availability on Google Cloud Marketplace (March 2026), work with AWS Bedrock AgentCore (May 2026), and the launch of Veris Plus (April 2026).
▸Full profile — market position, technology, go-to-market
Market position
Positions on testing agents against a simulated twin of production rather than static datasets or shared staging: no production data required, deployment inside the customer's own controls, model and framework agnosticism with no rebuild or SDK adoption, reproducible seed-pinned runs with full audit trails, and benchmarks derived from the customer's own policies, handbooks and regulations.
Technology
Simulated environments replicating a customer's systems, data, APIs and users, run as thousands of isolated environments concurrently rather than a shared staging environment. Runs are reproducible and seed-pinned with full conversation and tool-call trails retained for audit. The platform is model- and framework-agnostic, working with new or existing agents without an SDK to adopt, and can be driven over MCP, a CLI or an API, gated in CI pipelines, and fed with real incidents pulled from observability stacks. Additional techniques described include reinforcement fine-tuning, dynamic benchmarking through environments, and LLM-as-a-judge evaluation critiques.
Go-to-market
Direct enterprise sales via demo requests on its website, supported by published benchmarks, leaderboards, technical reports and a blog; distribution through Google Cloud Marketplace and work alongside AWS Bedrock AgentCore.
Enterprises building or buying AI agents, including regulated industries subject to SOC 2, HIPAA and GDPR requirements, and engineering teams using coding agents.
Compiled by commissioned research from 5 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 7
launches, deals, and filingsBlog post describing testing of enterprise AI agents in combination with AWS Bedrock AgentCore.
Company announced availability of its offering on Google Cloud Marketplace.
Benchmark ranking 17 voice-agent systems end to end on the same simulated calls, published with a public leaderboard.
Blog post presenting evaluation of AI agents through environments rather than static datasets.
Company blog post introducing Veris AI as an approach to training enterprise AI agents through simulated experience; covered the same day by The New Stack.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 5
primary sources listed
- Data & Security Earlyveris.ai · web
5 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Veris do?
- Veris AI builds simulated replicas of enterprise systems, data, APIs and users for testing and training AI agents.
- Who founded Veris?
- Veris was founded by Andi Partovi, Mehdi Jamei.
- Who are Veris's investors?
- Veris's investors include Decibel Partners, Acrew Capital.
- Where is Veris headquartered?
- Veris is headquartered in Chappaqua, US.