One of India’s B2B SaaS TechFin, Perfios, has announced a strategic partnership with SatSure, an Earth Observation (EO) analytics company. This collaboration holds the potential to transform the agri-lending ecosystem, using Earth Intelligence to enhance decision making, while also providing a technology driven transparency to traditional finance.
SatSure has two analytics platforms — SatSource and SatCollect. These products harness satellite imagery, remote sensing, and AI to provide actionable insights that aim to enhance smarter lending and expand the scope of of agri-lending.
According to a company release, the new initiative by Perfios will open the door to financial inclusivity and credit access to more than 100 million people in Indian farming community. The digitization of information flow, optimized costs and accelerated disbursements will empower Indian farming community with full potential of agri-lending.
Commenting on the partnership, Dhruva Rajan, Chief Commercial Officer, SatSure, said, “We’re thrilled to collaborate with Perfios to amplify the reach of our SatSource and SatCollect products. By combining Perfios’ BFSI expertise with our Earth observation data and AI/ML driven insights on cropping patterns and farm income, not only can we significantly accelerate the reach of our offerings to banks for farm lending, but also enable financial institutions to make more informed decisions seamlessly by threading a single digital journey.”
This is a significant partnership for catering to our nation’s ambition for driving financial inclusion in rural areas, which can now be accelerated by bringing the best of Fintech and space based applications together.”
Building Smart Lending Capabilities
Perfios will be equipped with near-real time data, EO driven intelligence on crop cycles, farm health, and land use, enabling lenders to replace a traditional verification and underwriting method with a data-driven one.
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Granular village and farm level insights can reduce risks by supporting smarter loan structuring and early detection of stress signals. The partnership between Perfios and SatSure, according to the company, will further strengthen loan disbursement, monitoring, and collections by optimizing these processes and supporting them with automated field verification which will ensure a faster, more efficient, and reliable agri-lending operation. Additionally, it also expands financial reach through identification of viable lending options, lowering operational costs, while data driven insights will enable institutions to target the right farmers with the right loan products.
“Sridhar Narayan, CBO, Perfios, said, “As the Indian agricultural credit market experiences unprecedented growth, projected to exceed ₹32 lakh crore by FY 2025-26, the demand and pressure on rural financing are immense. Our partnership with SatSure is a game-changer that reinforces our mission to empower financial institutions with advanced technological solutions that drive both growth and efficiency.”
By seamlessly integrating SatSure’s advanced Earth Observation capabilities, we are providing an unparalleled level of clarity and confidence, enabling lenders to manage risk more effectively and significantly expand their reach into underserved rural communities, thereby accelerating financial inclusion and access in the agricultural sector.“
Perfios to Empower Agri-Lending
Perfios has been driving continuous transformation in the financial technology space, introducing innovations that enhance decision-making and accelerate credit access. Earlier this month, Perfios introduced CAM AI, an AI-driven credit underwriting platform that reduces underwriting turnaround time by up to 85 percent, compressing multi-day credit assessments into just a few hours. The introduction of CAM AI can potentially enable NBFCs and banks to process twice the amount of applications with existing workforce.
By aligning itself with SatSure’s Earth Observation-based intelligence Perfios can now potentially work to fortify itself as a major player in agri-lending ecosystem.