Side-by-side comparison of AI visibility scores, market position, and capabilities
$41.9M total raised. 3,000+ commercial kitchen deployments globally. AI tracks every food discard in real time. IKEA cut waste 54% saving $37M. Deployed at Hilton, Marriott, Accor, Compass Group.
Winnow Solutions is an AI food waste intelligence company that tracks every food discard in commercial kitchens using computer vision and weight sensors, providing chefs and kitchen managers with real-time data on what is being wasted, when, and why. The company has raised $41.9 million in total and deployed its Throw & Go system in 3,000+ commercial kitchens globally across Hilton, Marriott, Accor, Carnival Cruise, and Compass Group. IKEA food services cut food waste by 54% after deploying Winnow, saving $37 million annually across their café operations.
Robotics & AI for Large-Scale Crop Operations
AgTech platform combining robotics, AI, and data for large-scale crop operations. Based in Brazil and US. Raised $60M+. Serves sugarcane, soy, and corn at industrial scale.
Solinftec is a Brazilian agricultural technology company with operations in the United States that has raised over $60 million to build a comprehensive AI and robotics platform for large-scale row crop and sugarcane operations. Founded in Araçatuba, Brazil, the company grew out of the demanding technological requirements of Brazil's industrial sugarcane sector, one of the world's most data-intensive agricultural industries.\n\nThe Solinftec platform integrates autonomous robots — including its Alice agricultural robot — with machine data analytics, fleet management, and crop intelligence tools to help large agribusinesses optimize every phase of field operations. The company's technology connects data from thousands of pieces of farm equipment to a central intelligence layer that enables real-time decision making and operational efficiency improvements.\n\nSolinftec has expanded beyond sugarcane into soy, corn, and cotton operations in both Brazil and North America, leveraging its AI models trained on massive datasets from Brazilian industrial agriculture. The company's focus on machine connectivity and autonomous systems positions it at the frontier of agricultural robotics, and its US operations are growing as large American farm operators seek similar levels of data-driven efficiency.
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