Quality Assurance for AI
Prove the system works before it goes live. Traditional QA presumes deterministic behavior. We test AI behavior across real-world variability, beyond just the code.
What we test:
Behavioral & Adversarial Testing
01Validate safe, accurate behavior across prompt variation, ambiguity, and failure cases.
RAG Pipeline Validation
02Verify retrieval relevance, grounding, and hallucination resistance across context assembly.
Agentic System Evaluation
03Ensure safe reasoning, tool use, context continuity, and graceful failure.
Responsible AI –runtime governance layer
A real-time AI governance layer that validates inputs, enforces outputs, and ensures every interaction is secure, compliant, and controlled.
See how Evoke’s RAIDAR ensures AI governance.
A Responsible AI governance layer that secures every interaction and enables safe, compliant AI at scale through real-time validation and enforcement.
Intercept risk before it reaches the model
Every unsafe output begins as an unsafe input. We inspect and control AI interactions at the prompt layer in real time using guardrails before reasoning begins and before exposure occurs.
Ensure only validated responses
reach users
After responses are generated, enforcement decides what actually passes. We apply runtime controls to every output so that compliance, accuracy, and safety are guaranteed, not assumed.
Build AI the Right Way With the Right Partner
Evoke builds AI that’s ready, reliable, and responsible.
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