Side-by-side comparison of AI visibility scores, market position, and capabilities
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.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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