AI/ML QA Sprint Services | aiml.qa
Fixed-scope, fixed-price AI/ML QA sprints — LLM red-teaming, model validation, data quality audits, AI product testing, and MLOps pipeline QA. Delivered in 3–7 days.
AI QA Readiness Assessment
3-day baseline audit of your entire AI stack — models, data pipelines, and AI products. Your QA entry point and the fastest path to a prioritised fix list.
LLM Evaluation & Red-Teaming
Hallucination rate benchmarking, prompt injection testing, jailbreak surface mapping, and safety scoring for LLMs and AI agents in production.
ML Model Validation
Accuracy, bias, fairness, and robustness testing for production ML models — with a structured report benchmarked against your current baseline.
Training Data Quality Audit
Dataset completeness, label consistency, distribution drift, and PII exposure audit — solve the garbage-in problem before it becomes a production incident.
AI Product QA
End-to-end functional testing, regression, and UX QA for LLM-powered apps, copilots, and AI agents — built for weekly release cadences.
MLOps Pipeline Testing
CI/CD integrity for ML: pipeline end-to-end testing, deployment smoke tests, monitoring coverage audit, and rollback verification.
Ship AI You Can Trust.
Book a free 30-minute AI QA scope call with our experts. We review your model, data pipeline, or AI product — and show you exactly what to test before you ship.
Talk to an Expert