Spec27
spec27.aiValidate AI agents without building your own test infrastructure
AI Toolsai-agentstestingvalidationautomated-testingllmred-teamingqa
About
Spec27 is an automated testing and validation platform for AI agents that generates comprehensive test suites from simple baseline tests. It uses machine-readable specifications to define expected agent behavior and validates against it continuously, covering both in-house builds and third-party vendor systems. The platform aims to replace slow, subjective manual evaluations with objective, scalable, spec-driven validation across the entire agent lifecycle.
Problem
Manual and LLM-as-a-judge evaluations are too slow and subjective for reliable AI agent deployment, and teams lack visibility into third-party agent reliability.
For
AI engineering teams deploying and integrating AI agents
How it works
Users start with baseline test cases that are automatically expanded into broader test suites, with machine-readable specs used to continuously validate agent behavior across built and bought systems without SDK or code access.
Business model
unknown
Status
waitlist