Press Release
ProfilePrint Signs Major Agreements with Brazilian Agricultural Leaders
Unveils World’s First A.I. Non-Visual Defect Detection, and Launches “Orca”, its Most Powerful Analyser Yet
(From top, then left to right): Mr Alvin Tan (Singapore’s Minister of State for the Ministry of Trade & Industry), Mr Mario Panhotta (Superintendent of New Business and Coffee Roastery, Cooxupe), Mr Alan Lai (CEO and Founder, ProfilePrint), Mr Luis Henrique Albinati (New Business Director, Minasul)
SAO PAULO, 24 September 2024 – Singapore-based ProfilePrint, the world’s leading A.I.-driven Ingredient Quality Platform powered by its patented digital food Identity-as-a-Service (IDaaS) technology, has announced the signing of new agreements with Brazil’s two largest coffee exporting cooperatives, Cooxupé and Minasul, as well as Instituto CNA, a government-supported institution representing Brazil’s agricultural sectors. By adopting ProfilePrint’s A.I. solutions, these three Brazilian organisations can better support rural producers in rapid quality assessment, improving efficiency and enhancing its market competitiveness globally.
Brazil’s food and agricultural sector, a global powerhouse producing key commodities like coffee, soybeans, juices, beef, and poultry, is increasingly focused on modernising operations. However, quality control and sustainability remain significant challenges. As production scales up and environmental concerns grow, the demand for improved food quality standards intensifies.
ProfilePrint addresses this challenge with its patented technology, combining a sensor-based analyser and a cloud-based A.I. platform. The company’s analyser captures digital fingerprints of food ingredients, which are digitally processed online via A.I. models on the ProfilePrint Ingredient Quality Platform to predict quality, flavour profiles, and even blend recommendations. This digital fingerprint technology significantly reduces the need for physical sampling and logistics overheads, while ensuring consistent quality control and minimising unnecessary rejections. The adoption of ProfilePrint’s solutions represents a key step toward modernising Brazil’s agricultural processes, ultimately fostering a more sustainable and competitive industry.
The official signing ceremony was conducted at the Brazil-Singapore Business Leaders Roundtable held on 24 September in Sao Paulo, witnessed by Mr Alvin Tan, Singapore’s Minister of State for the Ministry of Trade & Industry.
Non-visual defect (NVD) detection
The signing of these agreements comes after months of groundwork by ProfilePrint’s team in Brazil and Singapore, including partnerships with major clients through extensive R&D efforts. Most notably, these efforts have led to advancements in Non-Visual Defect (NVD) detection, one of the most challenging issues in the coffee industry. Many defects, such as internal bean damage, slight fermentation or early-stage mould, cannot be visually detected, but can significantly affect its quality and taste. The natural variability in coffee beans further complicates the challenge. Current detection requires onerous human sensory evaluation, which is subjective and prone to inconsistencies.
ProfilePrint’s proprietary A.I. technology is at the forefront of tackling this challenge. ProfilePrint’s early release for some of its major clients in Brazil and China has shown positive results, with this world’s first commercial A.I. solution for NVD detection expected to launch in early 2025.
“Orca” analyser
Concomitantly, beyond its core in the coffee industry, ProfilePrint also announced its expansion to serve other ingredients and processed food with its official launch of “Orca”, its fifth generation analyser with significant extension of its analytical range, more than doubling its data acquisition within seconds. This unlocks more possibilities over and above the existing verticals ProfilePrint is serving, expanding into more complex ingredients requiring higher sensitivity such as flavourings, instant and roasted coffee, as well as processed food products.
ProfilePrint’s Founder and CEO, Mr Alan Lai, shared, “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. 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.”
Instituto CNA’s Executive Director, Mr Matheus Ferreira, expressed enthusiasm for the partnership with ProfilePrint: “Instituto CNA’s collaboration with ProfilePrint exemplifies our commitment to advancing technological solutions that empower farmers and drive progress in agriculture, ensuring a sustainable and innovative future for Brazil’s agricultural sector.”
Cooxupé’s Superintendent of New Business and Coffee Roastery, Mr Mario Panhotta, echoed this sentiment, stating, “Our partnership with ProfilePrint enables Cooxupé to advance transformative solutions within the coffee industry, ensuring that our cooperative remains at the forefront of innovation while delivering high-quality coffee to the world.”
Minasul’s New Business Director, Mr Luis Henrique Albinati, added, “Minasul is thrilled to collaborate with ProfilePrint in developing cutting-edge solutions that will revolutionise how coffee quality is assessed, reflecting our commitment to innovation and excellence in the global coffee industry.”
The launch of both the NVD detection and Orca, as well as these partnerships, represent a transformative milestone in the evolution of Brazil’s agricultural sector, where cutting-edge A.I. technology converges with traditional farming expertise to shape a more sustainable, efficient and forward-thinking industry. ProfilePrint is proud to play a pivotal role in this journey, helping to redefine the future of agriculture not only in Brazil but across food supply chains globally.
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ProfilePrint is an AI-driven ingredient quality platform powered by a patented digital food identity-as-a-service (IDaaS) technology. ProfilePrint synthesises complex molecular data of ingredient samples into digital fingerprints, rapidly predicting its identity and quality, empowering agribusinesses to make data-driven decisions to buy, manufacture and sell better. Backed by the world’s largest food ingredient conglomerates and international venture funds, ProfilePrint is a Singapore-based company with a global footprint.
Cooxupé, the world’s largest coffee cooperative, with over 20,000 members — more than 97% of whom are small producers who make their living from family farming — is Brazil’s largest exporter of arabica coffee in the global market. Cooxupé’s purpose is to bring to the world quality coffees produced with sustainability under economic, social and environmental aspects, collaborating for the success of the coffee industry.
Minasul, a coffee cooperative based in Varginha, Brazil, has been a cornerstone of the Minas Gerais coffee industry since 1958. With 6,000 members across 150 cities, Minasul processes approximately 1.3 million bags of coffee per harvest. The cooperative is committed to promoting and improving coffee quality in the region, as evidenced by its annual Coffee Quality Contest, established in 1993. Minasul’s success stems from its dedication to respect, transparency, and excellence. For more information, please visit https://minasul.com.br/.
Instituto CNA (ICNA) was created with the aim of developing studies and research on social issues and agribusiness, addressing the demands of the CNA/SIstema Senar , which makes a significant contribution to the formulation of public policy proposals, where the beneficiaries are the rural Brazilian population. ICNA’s mission is to promote innovation, the search for technologies for the agricultural sector, and the holistic development of people living in rural areas. For more information, please visit https://cnabrasil.org.br/instituto-cna.