With a rising global demand for food production, Singapore-based startup ProfilePrint has developed technology to tackle both quality control and environmental impact in the food supply chain. Using its patented digital fingerprint technology, ProfilePrint can rapidly analyze ingredients to assess identity and quality, helping agribusinesses reduce costs and improve efficiency.
Founder and CEO Alan Lai explained that in today’s supply chain, physical samples often travel back and forth between buyers and sellers, increasing logistics costs and carbon footprints. Lai said that ProfilePrint digitalizes food ingredients, so buyers and sellers no longer need to ship samples physically, which emphasizes the technology’s capacity to cut down on waste and streamline transactions.
ProfilePrint’s technology combines a molecular-level wave detector with machine learning, creating a digital fingerprint for each sample. The AI then analyzes the fingerprint to make quality assessments within seconds. Lai demonstrated the system using coffee beans, pointing out that defects like fermentation issues or insect damage, which may ruin an entire batch, are easily detected by ProfilePrint’s AI, providing more accurate pricing and quality predictions.
Founded in 2017, ProfilePrint operates globally with deployments in over 60 locations across six continents, generating 90% of its revenue from international markets. The company’s innovative platform has gained recognition, including investment from Yukihiro Maru, CEO of Leave a Nest Capital. Maru, a strong advocate of deep tech’s role in food security, sees ProfilePrint expanding its impact beyond coffee and tea to support agribusinesses worldwide.
By offering a reliable, AI-powered solution for ingredient quality, ProfilePrint aims to transform food supply chains and improve decision-making for producers and traders alike, with potential to enhance food security on a global scale.
