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Quality assurance

Human expertise, enhanced by AI

Computer vision and quality engineering working alongside people. Fabric inspection, defect detection and intelligent validation — with human accountability on every decision, and no robots for show.

A quality engineer inspecting organic linen under an AI-assisted vision system reporting a 99.8% defect-detection confidence score.

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Defect-detection confidence

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Batches with traceable QA data

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Human oversight of the floor

How we assure quality

Four disciplines, one verifiable standard

Technology accelerates inspection; engineers and governance own the result. The combination is what makes the quality auditable.

Fabric inspection

Every batch inspected against defined tolerances — weave, weight, finish and consistency, captured as data.

Computer vision

AI-assisted defect detection scans at a scale and precision no manual review can match, flagging anomalies for review.

Quality engineering

Root-cause analysis and process control that prevent defects upstream, not just catch them at the end.

Intelligent validation

A verifiable quality score attached to each lot — auditable evidence, carried into the Digital Product Passport.

On the roadmap

Toward robotics in quality auditing

Phase 2 of our innovation roadmap brings robotics into quality auditing — extending consistency and throughput while keeping the human-in-the-loop framework firmly in place. Progress is presented as a structured roadmap, never overstated.