AI software built for the global diamond and gems industry

What diamond traders waste time on every day

The world's diamonds pass through a handful of major hubs — Antwerp, Dubai, Mumbai, Hong Kong, New York and India's cutting centres — yet most of the day-to-day work in a diamond unit still runs on memory, paper registers, and spreadsheets. A senior planner eyeballs a rough stone and estimates the polished yield from experience. A munim records parcels by hand. Stock is reconciled at the end of the week — if there is time. Every one of these steps is slow, hard to audit, and dependent on one or two key people.

The cost of this is real money. A small error in rough-to-polished yield estimation changes the price a trader is willing to pay for a parcel. A missing entry in a manual register turns into a stock mismatch nobody can explain. When a karigar's lot is logged late, the whole chain of custody becomes fuzzy. For any exporter handling hundreds of parcels a month — in any global diamond hub — these small frictions add up to serious lost margin and hours of avoidable rework.

This is exactly the gap that AI for the diamond industry — in Antwerp, Dubai, Mumbai and every major trading hub — is built to close: not by replacing the planner's judgement, but by giving them a fast, consistent second opinion and a single source of truth for every stone.

How LetinAI's AI solves it

LetinAI builds vertical AI software for the diamond trade — software that understands parcels, lots, carats, and yield, not generic billing software with a diamond label stuck on top. Our AI estimator learns from your own historical rough-to-polished outcomes and suggests an expected yield range for each rough stone in seconds, so junior staff can estimate with the consistency of a senior planner.

Around that estimator sits a full diamond inventory management system. Every parcel, lot, and stone has a live record — where it is, who holds it, what it cost, and what it is expected to fetch. Stock reconciliation that used to take a day happens continuously. A trading and pricing dashboard shows the whole business at a glance: what is in process, what is ready to export, and where margin is leaking.

Having built and deployed real software for the diamond trade, our system fits the way the trade actually works — multiple karigars, parcel-level tracking, and export workflows including GJEPC reporting for Indian exporters and clean documentation for international shipments. This is agentic AI applied to a real trade, not a demo.

What we actually built — our diamond AI project

For a leading diamond exporter, LetinAI built an AI-powered rough-to-polished yield estimator combined with a complete inventory management system. The estimator gives planners an instant, data-backed yield range for incoming rough; the inventory module tracks every parcel from purchase through manufacturing to export, with full reconciliation and loss tracking.

The result was a sharp reduction in manual estimation time and far tighter control over stock — the kind of operational clarity that lets a trading desk move faster and price parcels with confidence. It is the clearest proof of what AI for the diamond trade looks like when it is built by people who understand the industry.