ProfilePrint AI Ingredient Quality Assessment

ProfilePrint is a Singapore-based food technology company with offices in Sao Paulo, Shanghai, Tokyo, Barcelona and New York. It helps food companies assess ingredient quality faster and more objectively than traditional cupping, grading and laboratory methods, which are slow and depend on scarce human experts.

Its patented technology combines proprietary scanning hardware with a cloud platform to capture a digital fingerprint of each ingredient sample. AI models trained with the client's own quality experts then predict attributes such as pass/fail, grade, origin, sensory and flavour profile, defects, adulteration and blend consistency within minutes. Experts review boundary cases and their feedback keeps improving the models. It is applied to coffee, tea, cocoa, dairy, grains, herbs and spices, juices, oils, flavours and animal feed, with an Analyser, an AI Toolbox and a lighter ProfilePrint Lite offer for coffee.

• Digital fingerprinting: proprietary hardware captures a unique chemical fingerprint of each sample.
• AI prediction models: predicts origin, pass/fail, grade, sensory, flavour, defects and adulteration.
• Human-in-the-loop review: experts confirm boundary cases and their feedback retrains the models.
• AI Toolbox and Analyser: cloud tools for routine screening, reporting and decision support.
• Supply chain checkpoints: checks before supplier shipment, on receipt, during processing and before delivery.
• Mini Beluga and Lite: compact device and lighter plan for small and medium coffee businesses.

• Coffee exporters in the Central Highlands grading robusta lots before contract delivery.
• Tea, pepper and cashew processors screening incoming batches for defects and adulteration.
• Food and beverage manufacturers verifying that ingredient shipments meet buyer specifications.

• Faster sourcing: screening of supplier samples is shortened from weeks to days, per the vendor.
• Consistent grading: AI evaluates chemical markers the same way every time, reducing subjectivity between graders.
• Fraud and defect detection: flags adulteration, defects and origin mismatches before shipments are accepted.
• Better pricing and blending: quality data supports price negotiation, matching stock to buyer specifications and optimising blends.

Commodity buyers and processors face pressure to verify quality and origin quickly as supply chains become more volatile and food-fraud scrutiny grows. Traditional grading relies on a shrinking pool of certified experts, so AI-assisted, data-based quality assessment is spreading in coffee, cocoa and tea, sectors where Southeast Asia, including Vietnam, is a major producer and exporter.

Headquartered in Singapore. Raised Series A, a Series A1 with Cargill (2022) and completed Series B (December 2023). Awards include ASEAN Deep Tech Venture of the Year 2024 and Emerging Enterprise Awards 2023. Achieved ISO 42001 (AI management) certification in May 2026. Partners and endorsers include Cargill, Olam Food Ingredients, Sucafina, Anacafe, Cooxupe and Louis Dreyfus Company.