CropIn vs IBM
Side-by-side comparison of AI visibility scores, market position, and capabilities
$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.
Armonk NY hybrid cloud and enterprise AI (NYSE: IBM) at $62.8B revenue; $6B+ generative AI bookings, record $12.7B free cash flow 2024, DataStax acquisition for watsonx vector database competing with Microsoft Azure for enterprise AI.
About
International Business Machines Corporation (IBM) is an Armonk, New York-based global technology and consulting company — publicly traded on the New York Stock Exchange (NYSE: IBM) as an S&P 500 component — providing hybrid cloud infrastructure, artificial intelligence software, and enterprise IT consulting through approximately 270,300 employees in 170 countries with $62.8 billion in annual revenue. Founded on June 16, 1911, as Computing-Tabulating-Recording Company through a merger orchestrated by financier Charles Ranlett Flint, renamed IBM in 1924 under Thomas Watson Sr., IBM has undergone multiple strategic transformations over its 110+ year history: building the System/360 mainframe platform (1964), launching the IBM PC (1981), selling the PC division to Lenovo (2005, $1.75B), and completing the $34 billion Red Hat acquisition (2019) that repositioned IBM as a hybrid cloud platform company. CEO Arvind Krishna (appointed April 2020) has focused IBM's strategy on three areas: hybrid cloud (powered by Red Hat OpenShift, the enterprise Kubernetes platform), AI (the watsonx platform for enterprise AI model development and deployment), and enterprise consulting. Under Krishna, IBM recorded $12.7 billion in free cash flow in 2024 (a company record), surpassed $6 billion in generative AI bookings since June 2023, and saw the stock price double — trading at all-time highs through 2024-2025. IBM announced the DataStax acquisition in 2025 to deepen watsonx's data layer with AstraDB (vector database for AI applications), DataStax Enterprise (Apache Cassandra), and Langflow (low-code AI agent development).
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