ProfilePrint has launched “Orca”, the 5th generation food ingredient analyser, marking a significant leap in AI-powered food ingredient analysis.
For the first time, quality teams will be able to capture a complete digital identity of ingredients, moving beyond traditional food fingerprints to palmprints to achieve unprecedented depth and range in food ingredient analysis.
The company’s new white paper has demonstrated Orca’s capabilities through a breakthrough in coffee blend quantification, as it has achieved below five percent prediction error in quantifying Arabica-Robusta proportions.
It also detailed how this technology handled diverse coffee origins and processing methods, offering practical applications for quality control and verification.
While coffee can be used as an example, Orca's enhanced wavelength range and doubled data capture have made it equally powerful in analysing complex ingredients across the food industry, from modified starches and processed foods to non-dairy creamers and liquid ingredients.
“By digitising food ingredients with ProfilePrint, similar to how Microsoft first digitised documents, samples shipment and logistic overheads can be significantly reduced, enhancing human productivity and supply chain efficiency,” said ProfilePrint’s founder and CEO, Alan Lai.
“Our partnerships in Brazil and the launch of Non-Visual Defect detection and the more powerful “Orca” analyser not only deepen our impact in the coffee industry but also pave the way for expansion into broader agricultural ingredients and more complex processed food sectors.”
The launch of Orca has represented a transformative milestone in the evolution of the agricultural sector, where cutting-edge AI can be converged with traditional farming expertise to shape a more sustainable, efficient and forward-thinking industry.
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