The QA Layer for Generative AI
A persona-driven platform to test, validate, and trust your LLM agents. Simulate realistic users and adversarial attacks to ship with confidence.
"Postman meets Penetration Testing for LLMs and agents."
You're Shipping Blind. Your LLM QA is Broken.
AI teams are moving faster than they can test. Ad hoc, manual validation isn't enough when your agent is the product.
Manual & Ad Hoc
Testing is based on one-off prompts and gut feelings, not a repeatable process.
No Personas
Fails to simulate diverse user behaviors, from the curious newbie to the sophisticated attacker.
No Regressions
A new prompt or RAG update breaks old functionality. You won't know until a customer complains.
No Safety Audits
Lacks systematic stress tests for jailbreaks, PII leaks, and compliance violations.
LLMs are APIs. Agents are ephemeral. Testing is the new monitoring.
A New Standard for AI Quality
Go beyond static eval sets. Test your agents like your users will.
Persona-Driven Evaluations
Simulate realistic and adversarial users—from helpful assistants to prompt injection attacks. Don't just test what your agent can do, test how it behaves under pressure.
Framework-Agnostic
Works with any agent or LLM endpoint. Whether you're using LangChain, building with the OpenAI API, or using a custom framework, Gen.QA integrates seamlessly.
Dev + QA Alignment
Useful for developers during the build phase and for QA teams in CI/CD pipelines. Create a shared understanding of quality and performance across the entire lifecycle.
Safety & Compliance Built-In
On-demand evaluation reports for safety, PII detection, and jailbreak attempts. Critical for regulated industries and enterprise adoption.
Works With Your Stack
Gen.QA is designed to fit into your modern AI development workflow.
From Testing to Trust.
Gen.QA is more than an evaluation tool. It's your future system of record for LLM quality, regressions, and safety—the Datadog for Generative AI.