Indifly Ventures-backed cGreen aims to revolutionise debt collection in India’s underserved markets with AI-powered solutions, expanding its reach across rural areas and strengthening the lender-borrower connection.
Indifly Ventures has invested in cGreen, a technology-led loan resolution firm, in a move both companies say will help sharpen debt recovery in India’s lending market. The deal is aimed at expanding cGreen’s platform, strengthening its resolution network and speeding growth in smaller towns and rural districts, where collections infrastructure has often lagged behind the pace of lending.
According to the company’s announcement, the pitch is that lenders need more than call centres and standard reminders when borrowers fall behind. cGreen says its model combines artificial intelligence, Voice AI, borrower interaction capture, field intelligence and its Pragati Kendra network to help lenders understand whether a default is driven by unwillingness to pay or by genuine financial stress. That distinction, the company argues, can lead to more suitable recovery action.
The business appears to already have scale. cGreen says it works with more than 29 lenders and manages over 300,000 borrowers, with assets under management of more than ₹1,350 crore. It also says it has a remote network across India, with a physical presence in Uttar Pradesh, Maharashtra and Assam. Separately, investment platform and company profiles describe cGreen as building a voice-AI-powered, field-enabled loan resolution system focused on bridging the gap between lenders and rural borrowers.
The investment also fits Indifly’s broader positioning as a builder of technology businesses in financial services, fintech infrastructure and digital inclusion. In a separate report, Business Standard said several Indian financial institutions are already experimenting with AI in collections to reduce costs and improve efficiency, as one human recovery agent can cost about ₹30,000 a month and handle roughly 250 cases. Against that backdrop, cGreen’s emphasis on borrower insight and ground-level execution reflects a wider push to make collections more data-driven, particularly in tier 3 and underserved markets.
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