ProfilePrint Mini Beluga molecular footprint analyser for coffee

Wednesday, 08 April, 2026 | Supplied by: ProfilePrint


ProfilePrint has now launched a compact version of its AI-powered molecular fingerprinting technology for the agrifood industry — Mini Beluga and the ProfilePrint Lite platform. Both were developed to provide an accessible option of the analyser for small to medium-sized enterprise within the coffee industry.

Weighing just 1.3 kg and small enough to fit in the palm of the hand, Mini Beluga is ProfilePrint’s most compact analyser to date. It is designed to capture a molecular fingerprint of green coffee beans in minutes, with no roasting, brewing or specialised training required. Its portability means quality checks can happen wherever the beans are located; for example, at origin, in a warehouse or at a roastery.

The fingerprints are processed through ProfilePrint Lite, a streamlined version of the company’s AI platform built specifically for specialty Arabica green beans. By simplifying workflows and reducing the barriers to adoption, the Lite platform provides smaller businesses with access to high-level insights without the complexity of full-scale enterprise integration.

ProfilePrint’s in-house Specialty Arabica Green Bean model has a global database of over 30,000 specialty coffee samples assessed by Q-graders worldwide, delivering rapid consistent predictions of SCA scores, flavour profiles and moisture level. It also allows cuppers to layer their own assessments alongside the AI’s predictions, combining human expertise with AI-powered insights in a single, shareable report.

The Compare feature performs a side-by-side molecular analysis of two digital lots, enabling users to verify whether an arrived shipment matches the approved sample.

Roast Insights detects molecular changes in green coffee between roast sessions and provides recommendations to help roasters maintain their target taste profile, surfacing what has changed so they can make informed adjustments.

Online: profileprint.ai/
Phone: +65
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