InData Labs
AI Development with Compliance Built Into the Architecture
The problem this solves
AI systems that require costly compliance rework after launch
InData Labs builds AI and machine learning systems with regulatory obligations engineered into the delivery process from project kickoff, so clients meet EU AI Act, US state, and anti-discrimination requirements without retrofitting compliance after launch. Risk classification, documentation, human oversight, training-data governance, and bias testing are treated as standard deliverables rather than a final review step.
Novel practice
Bias testing runs inside QA, not as a separate audit
“Bias testing as part of QA, not a separate audit”
— AI Compliance in 2026: Rules, Risks & Requirements Guide
AI complianceEU AI ActAI developmentBias testingMachine learningAI governance
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