AI/ML Quality Assurance
Built for Startups Shipping at Speed.
aiml.qa is a global pure-play AI/ML QA firm — testing, validating, and red-teaming your ML models, data pipelines, and AI products. Independent. Fast. Audit-grade.
Every Layer of Your AI Stack, Tested
Generic QA firms test software. We test AI — models, data, and products — with frameworks built specifically for the non-deterministic, drift-prone nature of ML systems.
Model QA
Accuracy, bias, fairness, robustness, and edge-case testing — before your model touches production.
Data QA
Dataset completeness, label consistency, distribution drift, and PII exposure — the garbage-in problem solved.
AI Product QA
Functional testing, regression, and red-teaming for LLM apps, copilots, and AI agents — end to end.
Fixed-Scope. Fixed-Price. Fast.
Every service is a named sprint — clear inputs, clear outputs, delivered in days not months. Start with a Readiness Assessment, expand into the sprint that matches your risk.
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.
Learn more →LLM Evaluation & Red-Teaming
Hallucination rate benchmarking, prompt injection testing, jailbreak surface mapping, and safety scoring for LLMs and AI agents in production.
Learn more →ML Model Validation
Accuracy, bias, fairness, and robustness testing for production ML models — with a structured report benchmarked against your current baseline.
Learn more →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.
Learn more →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.
Learn more →MLOps Pipeline Testing
CI/CD integrity for ML: pipeline end-to-end testing, deployment smoke tests, monitoring coverage audit, and rollback verification.
Learn more →AI QA Expertise Across High-Stakes Verticals
The cost of a bad AI model varies by industry. In fintech, a biased credit model creates regulatory exposure. In healthtech, a misclassified scan causes harm. We QA AI where it matters most.
SaaS & AI-Native Products
QA for SaaS companies shipping AI features — copilots, recommendation engines, and AI-powered workflows — where a bad output means churn.
See industry QA →Fintech & AI Lending
Model validation for credit scoring, fraud detection, and AML systems — where bias or inaccuracy creates regulatory exposure and financial losses.
See industry QA →Healthtech & Clinical AI
Rigorous QA for diagnostic AI, clinical decision support, and patient-facing AI — where a misclassification is a patient safety event.
See industry QA →LegalTech & Contract AI
Accuracy and hallucination testing for contract analysis, legal research, and document classification AI where errors carry liability.
See industry QA →Developer Tools & AI Platforms
QA for AI developer tools, evaluation frameworks, and AI infrastructure platforms — where your customers' AI quality depends on yours.
See industry QA →Pure-Play AI QA. Not a Feature. Not a Department.
We Only Do AI/ML QA
We don't test web apps, mobile apps, or generic software. Every tool, framework, and evaluation methodology we have is built specifically for the non-deterministic, data-dependent behaviour of ML systems.
Sprint Delivery — 3 to 7 Days
Your release cadence doesn't wait for a 3-month QA engagement. Our sprints are scoped to deliver an audit-grade report within a startup's weekly shipping rhythm.
Independent Validation
External QA reports carry weight with investors, customers, and regulators that internal testing can't. Every sprint deliverable is structured for due diligence, procurement, and compliance review.
Actionable Output Every Time
Every report includes a prioritized fix list ranked by risk — not just findings. You know exactly what to fix, in what order, before your next release.
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