veris.aiCrawled Nov 5, 2026
Veris provides a sandbox for building custom AI agent benchmarks, testing agents against simulated users, workflows, and systems before production.
Veris runs public agent benchmarks, including FinAgent Arena Index for financial tasks: TreasuryQA, AML, VAmoS, and VAmoS Pro.
A high-fidelity twin of your enterprise. Simulated users, simulated systems, AI-composed scenarios, isolated sandboxes at scale, and root-cause analysis that turns every failure into a fix.
The page outlines Veris security and deployment options, including SOC 2 Type II, HIPAA, GDPR, SaaS or on-prem VPC, and synthetic data.
A practical guide to shipping enterprise agents that work: using AWS Bedrock AgentCore to build and deploy, and Veris AI to simulate, grade, and improve.
Latest from Veris AI on simulating, training, and evaluating enterprise AI agents.
Agents live in messy systems with unpredictable users, interconnected tools, and cascading consequences. Unlike traditional software where inputs and outputs are fully controlled, an agent’s flexible I/O and its reasoning capability are both its superpower and its failure mode.
How Veris is priced: per bench or an annual platform licence, what sets the price, how long a first bench takes, and how to get a quote.
Comparisons of Veris with observability and evaluation tools, and a buyer's guide to testing AI agents before production.
What Sierra Simulations, Google Agent Platform evaluations, Decagon Simulations and Agentforce Testing Center do well, what a vendor's own simulator cannot do by construction, and how a vendor bake-off runs on an independent bench.
How Veris differs from LangSmith, Braintrust, Arize Phoenix, Langfuse and promptfoo, where each fits in an agent testing stack, and how they work together.
Who builds Veris AI: the team, the founders' letter, and the investors behind simulation infrastructure for enterprise AI agents.
The page offers a 30-minute demo of Veris AI, showing how it benchmarks agents against simulated systems, data, and users before deployment.
Direct answers on what Veris simulates, how twins stay isolated from production, where simulation data comes from, CI and VPC deployment, pricing, and how Veris differs from evals and observability tools.
How to reach Veris AI: support email, documentation, and how to book a demo.
A simulated copy of your systems, data, APIs, and users, where AI gets tested, trained, and built against before it ever touches production. Test any AI system for quality and compliance, train agents that improve, and give coding agents a stack to build against.
