ProfilePrint brings AI coffee quality analysis to Kenya

• A technology built for a pricing gap

• What ProfilePrint presented

• Why Kenya matters

• A bigger opportunity than testing alone

• How the case was made

• Why the response matters

• Where ProfilePrint fits

• What this signals

A technology built for a pricing gap

Alan Lai said the idea behind ProfilePrint grew out of a familiar frustration in agricultural markets. Better quality at origin does not always translate into better pricing for the producer.

That problem matters in coffee because value is shaped long before the final buyer drinks the cup. If quality can be read earlier and more consistently, producers, brokers, exporters, and buyers all work with stronger information.

What ProfilePrint presented

Lai said the technology scans the ingredient itself, captures its molecular signature, and converts that into a digital fingerprint within seconds.

In coffee, he positioned that as a way to assess green beans before roasting, grinding, and cupping. The commercial value is speed, consistency, and earlier decision-making across the supply chain.

He also framed the tool as a support system for the market rather than a substitute for human expertise. Traders, cuppers, brokers, buyers, and regulators still make the decisions, but with more information available earlier.

Why Kenya matters

The presentation connected with institutions that already shape how coffee moves in Kenya, including the Nairobi Coffee Exchange and the Agriculture and Food Authority Coffee Directorate.

That matters because Kenya’s coffee market is structured, regulated, and quality-sensitive. Any technology that improves quality visibility has to work within that system and show value to the people who already handle grading, sampling, brokerage, export, and oversight.