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AI simulation infrastructure
Simulation Infrastructure for the Agentic Era
A simulated copy of your
systems, data, APIs, and users
, where AI gets tested, trained, and built against before it ever touches production.
Train AI agents without risk:
Book Demo
Solutions
1
Test and Compliance
Evaluate any internal or third-party AI system for quality, risk, and cost in a production twin: an isolated, AI-native sandbox
2
Training and Loops
Generate scenarios and verifiers, run them in simulation, and turn every failure into a better agent, before launch and after
3
Agentic SDLC
Give coding agents a stateful simulation of your dependencies, so integration tests run and issues get fixed before the PR opens
Veris Technology:
High-fidelity simulations modeling users, tools, and interactions
Train AI agents without risk:
Explore Technology
Explore Technology
ENTERPRISE
READINESS
SOC 2 Type II, HIPAA, and GDPR
Independently audited security controls, and compliance with the regimes that regulated industries answer to.
No production data required
Scenarios, tool calls, and user interactions are all simulated, so no real customer data is needed. Use synthetic data or bring your own.
Runs in your VPC or on-prem
Deploy into your VPC, your own data centre, or Veris Cloud. Your data stays inside your existing controls and never leaves.
Model and framework agnostic
New or existing agents, on any model and any framework, or your own harness. No rebuild, no SDK to adopt, no lock-in.
Fits your existing workflow
Gate every deploy in CI, pull real incidents in from your observability stack, and drive environments over MCP, the CLI, or the API.
Auditable by design
Every run is reproducible and seed-pinned, with the full conversation and tool-call trail behind it, so an audit gets evidence instead of assurances.
Compliance built from your policies
The policies, handbooks, and regulations you answer to become the scenarios your systems must pass, so you can close the gaps and show they comply.
Built for scale
Thousands of isolated environments running concurrently, with no shared staging for teams or agents to collide over.
Test, train, and build against simulation:
Book Demo
Blog
06 July 2026
The loop is easy, feeding it real failures is the work
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08 June 2026
Let OpenClaw Run Wild in Simulation, Not on Your Customers
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18 May 2026
Battle-Testing Enterprise AI Agents: Veris AI × AWS Bedrock AgentCore
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27 April 2026
Veris Plus is live
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30 March 2026
RFT Can Make Agents with Small Models Outperform Big Models on Enterprise Tasks
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16 March 2026
Veris AI Announces Availability on Google Cloud Marketplace to Deliver Reliable, Production-Ready AI Agents
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05 February 2026
Your LLM-as-a-Judge is Asking the Wrong Question
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18 December 2025
SantaBench: Agents Roasting on an Open Fire
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15 December 2025
Never Waste a Good Failure: How Veris AI Turns Production Incidents into Self-Improving Agents
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01 December 2025
Technical Report: How Reinforcement Fine-tuning Trains Enterprise-Grade Domain-specific Agents
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01 December 2025
Environments, Not Examples: How Reinforcement Fine-Tuning Trains Enterprise-Grade Domain-specific Agents
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28 October 2025
Dynamic Benchmarking: Evaluate AI Agents through Environments, not Datasets
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14 September 2025
Building an Agent? You Need an Environment
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03 June 2025
Introducing Veris AI: A New Way to Train Enterprise AI Agents Through Simulated Experience
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03 June 2025
Decibel Partners: Why the Environment is Everything for Autonomous AI Agents
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17 June 2025
Why I invested in Veris AI, the training ground for AI agents
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03 June 2025
The New Stack: Veris AI Is a Training Gym for AI Agents
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Train AI agents without risk:
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