The World's Only Pure-Play AI/ML QA Firm

Why We Built aiml.qa

Generic QA firms test software. The problem is that AI/ML systems are not software in the traditional sense. They are probabilistic, data-dependent, and they drift. A model that passes QA in January may silently degrade by March as real-world data distributions shift.

aiml.qa was founded on a single conviction: AI/ML systems need their own QA discipline, their own evaluation frameworks, and their own specialists — not a generic testing team with an “AI practice” bolted on.

What Makes Us Different

We are pure-play. We only do AI/ML QA. Every tool, methodology, and evaluation framework we use was built specifically for the challenges of ML systems: non-determinism, data drift, hallucination, bias, and the emergent behaviours of large language models that have no equivalent in traditional software.

We are fast. Our sprint model was designed for the release cadences of Series A–C AI startups — not for enterprise waterfall programmes. A QA audit delivered in 7 days is useful. One delivered in 3 months is a history document.

We are independent. External validation of your AI systems carries weight that internal testing cannot — with investors conducting due diligence, enterprise customers running procurement reviews, and regulators requiring model documentation.

Our Team

aiml.qa is built on deep expertise in machine learning engineering, MLOps, LLM evaluation, and AI safety. Our team has shipped AI systems across fintech, healthtech, legaltech, and SaaS — and we have been on the wrong end of a silent model failure enough times to know exactly what to test.