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The Software House
Materials

Material Intelligence

Understand what every fabric is, how it behaves and where it should be used.

Overview

What it is, in one paragraph

Computer vision and physics-aware models decode composition, structure and behaviour from a single fabric scan — and recommend the right material for any product brief.

Key features

Built for textile enterprises

Vision-based composition

Estimate fibre blend, weave, count and finish from imagery.

Behaviour prediction

Predict drape, stretch, shrinkage and pilling before sampling.

Recommendation engine

Suggest the best fabric for a given garment, climate and price point.

ESG profiling

Score materials against your sustainability targets.

Benefits

Why teams adopt it

  • Replace days of lab testing with seconds of inference
  • De-risk fabric choices before committing to development
  • Match buyer briefs to in-house materials automatically
How it works

From zero to value

  1. 1
    Scan

    Capture a swatch with the scanner kit or any modern phone.

  2. 2
    Analyse

    Models extract composition, structure and behaviour.

  3. 3
    Recommend

    Surface comparable, cheaper or greener alternatives.

Why it matters

The business case

Picking the wrong fabric costs months and millions. Material Intelligence turns experience into a model every product manager can call.

FAQ

Frequently asked questions

Can't find what you're looking for? Email [email protected] and a real person will reply within one business day.

How accurate is composition detection?

Within ±3% of lab values for the top-50 commodity fibres.

Bring AI to your production floor.

Join the textile leaders building with The Software House.