Gamaya vs CropIn
Side-by-side comparison of AI visibility scores, market position, and capabilities
AI hyperspectral imagery for large-scale crop intelligence. Based in Lausanne, Switzerland. Specializes in sugarcane and row crops. Partners with major agribusinesses in Brazil.
About
Gamaya is a Swiss agricultural intelligence company headquartered in Lausanne that uses AI-powered hyperspectral imaging to provide crop health monitoring and management intelligence for large-scale row crop operations. Founded as a spinout of EPFL (École Polytechnique Fédérale de Lausanne), Gamaya combines advanced optical sensing with deep learning models to detect crop stress, disease, weed pressure, and variability at field scale.\n\nThe company's primary market is large sugarcane operations in Brazil, where it works with industrial agribusinesses to optimize spray programs, reduce input costs, and improve harvest logistics through aerial intelligence. Gamaya's hyperspectral cameras capture information beyond the visible spectrum, enabling detection of crop conditions that are invisible to standard RGB or multispectral cameras.\n\nGamaya has established partnerships with leading Brazilian sugar and ethanol producers and has expanded its platform to serve other row crops including soy and corn. The company's European base and EPFL heritage give it strong academic and technology credentials, and its focus on industrial-scale agriculture differentiates it from consumer-facing precision ag tools. Gamaya continues to expand its AI training datasets and geographic footprint across South America and beyond.
$63-75M revenue 2024-2025; $54M total funding; ~$88M valuation 2022; 250+ B2B customers; 7M farmers impacted globally; 30M acres digitized; 350 crops, 10K varieties, 103 countries; ag-intelligence leader
About
CropIn is an AI-driven agricultural technology company founded in 2010 in Bengaluru, India, built on the mission of transforming global agriculture through data science and machine learning applied to farm management and supply chain traceability. The company's core technology combines satellite imagery, IoT sensor data, and machine learning models to give agribusinesses, financial institutions, and governments real-time visibility into crop health, yield forecasting, and farm-level risk — bringing the data sophistication of modern enterprise software to an industry historically dependent on manual field observation.\n\nCropIn's platform serves B2B customers including food and beverage companies, commodity traders, agricultural input companies, and development finance institutions across more than 100 countries. Its SmartFarm platform enables precision farm management, while its SmartRisk product provides crop insurance and agricultural lending risk assessment to financial institutions serving smallholder farmers. The company has digitized more than 30 million acres of farmland across 350 crop types and reached 7 million farmers globally, building one of the world's largest proprietary agricultural datasets — a compounding data moat that improves model accuracy with each new acre onboarded.\n\nCropIn generated between $63 million and $75 million in revenue across 2024 and 2025, supported by $54 million in total funding from investors including CDC Group and ABC World Asia. With 250+ enterprise customers and a proven deployment model across the developing world's most important agricultural regions, CropIn occupies a unique position at the intersection of AI, food security, and agricultural finance. As climate volatility increases crop risk and global food supply chains demand greater traceability, CropIn's data infrastructure becomes more strategically valuable to every stakeholder in the agricultural value chain.
AI Visibility Head-to-Head
Key Details
Capabilities & Ecosystem
Capabilities
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.