Veris

Veris is an enterprise-grade platform designed to develop, train, and certify AI agents using high-fidelity simulated environments. It allows organizations to stress-test agents against synthetic users and tools to ensure reliability, accuracy, and compliance before they interact with real-world systems or customers.

Key Features

• High-fidelity simulations that model diverse user interactions, tool usage, and environmental scenarios.
• Synthetic feedback and reward systems that allow agents to learn by doing in a safe sandbox.
• Automated stress-testing to guarantee performance across accuracy, cost, and latency SLAs.
• SOC 2 Type 2 compliant infrastructure designed for deployment in regulated industries.
• No-data training capability that creates scenarios without requiring actual customer or production data.
• Integration support for existing agents built on any technology stack or LLM provider.

Use Cases

• Reducing AI agent deployment timelines from months to days by replacing manual testing with parallel simulations.
• Converting production incidents and historical failures into self-improving training scenarios for agents.
• Identifying and fixing policy gaps or compliance issues before agents are exposed to regulators.
• Validating agent behavior in various environments including VPC, private cloud, or the Veris Cloud.