What is ThreatMatic?
Systematically evaluate and improve your AI agents through realistic conversation simulations
Overview
AI agents Incubation Platform for testing and conversation simulation
Astra helps you test, evaluate, and improve your AI agents through realistic conversation simulation at scale.
✨ Capabilities
- Simulate realistic user conversations with your AI agents across diverse personas and scenarios
- Generate evaluation datasets with judge-labeled conversations for testing and benchmarking
- Create training data for fine-tuning with preference pairs, critique-and-revise triples, and clean JSONL exports
- Automate QA testing by running hundreds of conversations per build to catch issues before production
- Surface edge cases that manual testing misses through adversarial and varied interaction patterns
- Bring your own Backends - Bring backend agents, LLMs and MCP Servers and use dynamic Agent UI.
How it Works
Create an agent profile that represents your AI system and its intended purpose
Define what success looks like with custom scoring criteria for different aspects of performance
Design realistic simulation scenarios that reflect your agent's real-world use cases
Automatically create varied conversation participants with unique backgrounds and characteristics
Execute realistic dialogues between your agent and generated personas through your custom worker
Review detailed performance metrics, identify patterns, and discover improvement opportunities
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