AI app testing for non-deterministic features

Keep your non-deterministic features covered as models, prompts, and outputs evolve over time.

Accelerate AI innovation by 9x with agentic testing

Validate semantic outputs

Define what a correct response means, not what it says or looks like. Evaluate outputs against criteria using intent-based assertions that survive the natural variation of LLM outputs.

Built-in guardrails and safety checks

Validate that AI features respect your defined guardrails, including content policies, response boundaries, and prohibited outputs, consistently across every test run.

End-to-end coverage

Author tests, execute them on demand or in the pipeline, analyze outputs against your criteria, and keep coverage current as your models and prompts evolve.

Build assertions in natural language

Describe what a correct response looks like, evaluating the actual output against your criteria without requiring an exact match.

Your AI features deserve to be tested the way your customers use them

See how mabl validates non-deterministic behavior and catches AI regressions before they reach your users.