Aaron Koivunen

Hi Product Hunt I m part of the team behind Rhesis AI, and we are so excited to announce that we are launching next week (Nov 11)!

Building enterprise AI agents breaks down when engineering, product, and domain experts work in silos. We saw a massive need for a unified workspace where teams could evaluate, observe, and optimize agents together. Rhesis AI is designed to be the dedicated collaboration layer for AI teams, turning expert knowledge into verifiable, production-ready agent performance.

Over the recent months, we ve shipped massive updates to support the entire lifecycle of your AI agent. Here is how Rhesis helps you go from requirements to production:

Team Requirements & Test Suites: Start by collecting requirements seamlessly from your team. We help you explore relevant test cases and use expert knowledge to generate agent-specific and context-specific test suites.
The Architect: Set up your testing foundation through an intuitive conversational interface. The Architect interactively builds your test setup and provides clear visual diagrams so you immediately understand your test results.
Agent Simulation: Execute your test suites dynamically. Our simulators (meet Penelope and Polyphemus!) run realistic multi-turn dialogues to (stress-)test your agents and hunt for vulnerabilities.
Expert Annotations & Review: A unified UI for domain experts to review simulated outputs and provide the nuanced, turn-by-turn feedback that only humans can give, without touching any code.
Requirements Insights: We provide a simple overview showing which requirements are met and how they were tested, giving you the insights you need to make educated decisions on releases and launches.
Real-time Observability & Monitoring: Once your agent is in production, use our OT-based tracing to monitor latency, token usage, and costs. Turn production failures directly into future test cases and start analysing their root cause.