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Artificial IntelligenceLiveQuality grading

Quality grading — Diamond

Hyperspectral and RGB grading of produce, gems and raw material. Delivered for a diamond client in Anand.

Location
Anand
Year
2025
Duration
28 weeks
Team
9 engineers
Interactive 3D · drag to rotate
99%
grade accuracy
285
items per min
−75%
manual grading

The challenge

Existing vendors had delivered pieces of a quality grading system, but nobody owned the integration and the pilot had stalled.

What we built

A phased rollout: a measured pilot first, then scale-out. The core runs on Hyperspectral with PyTorch, integrated into existing systems through OPC UA.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. Phase 4

    Scale-out, training and handover

Highlights

  • Operator training delivered in Gujarati, Hindi and English
  • Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
  • Documentation, drawings and source handed over at close
  • Before-and-after measurements agreed with the client up front

Have a problem that needs a machine built for it?

Tell us the constraint — line speed, accuracy, environment, deadline. An engineer will read it and reply with a straight answer, including when the answer is that you don't need us.

We reply to every enquiry within one business day.