Rezolv Raises $12.5 Million to Put AI Voice Agents on India's Lending Collections Calls

Mumbai fintech Rezolv, founded by former Kissht co-founders, raised a $12.5 million Series A led by Norwest to scale AI voice agents that banks and NBFCs use for sales, underwriting and debt collection across 22+ lenders.

August 24, 2026
4 min read
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Manik Gupta

Founder and editor of DeepTech India. Manik writes about India's frontier technology ecosystem — AI, semiconductors, space, quantum, robotics and biotech — translating research and policy into clear, reliable reporting.

Rezolv Raises $12.5 Million to Put AI Voice Agents on India's Lending Collections Calls

Mumbai-based fintech Rezolv has raised $12.5 million in a Series A round led by U.S. venture firm Norwest, with Vertex Ventures Southeast Asia and India and existing backer 3one4 Capital also participating. The round, announced on August 18, 2026, will fund the build-out of AI voice agents that banks and non-bank lenders use across the loan lifecycle — from sales calls to debt collection.

From Kissht to Rezolv

Rezolv was founded in 2024 by Karan Mehta and Sonali Jindal, who previously built and ran Kissht, one of India's earlier digital-lending platforms. That experience shaped what Rezolv set out to fix: the lending back-office in India still runs on a patchwork of human call-center agents, spreadsheets and outsourced BPOs to manage everything from onboarding calls to overdue-loan follow-ups. Rezolv's pitch to lenders is to replace large parts of that workflow with AI voice agents that can operate at a fraction of the cost and around the clock.

What the Platform Actually Does

Rezolv's AI voice agents are built to handle conversations across the lending lifecycle — welcome calls after a loan is disbursed, pre-delinquency nudges before a payment is due, and full collections workflows once an account falls behind. The agents work in 11 Indian languages, a requirement for lenders serving borrowers well outside India's English- and Hindi-speaking metros.

The company says its systems now handle 6.5 million minutes of borrower conversations every month and support collections activity across more than 12 million loan accounts in India. That scale has come from tie-ups with more than 22 banks and non-banking financial companies (NBFCs), including AU Small Finance Bank, ICICI Bank, Poonawalla Fincorp, Bajaj Auto Credit and Five-Star Business Finance — a customer list that spans large private banks, small-finance banks and NBFC lenders focused on underbanked borrowers.

Why Lenders Are Buying In

India's retail and MSME lending base has grown far faster than the traditional call-center workforce built to service it, and rising loan volumes have made collections — historically one of the most manual, labor-intensive parts of lending — an obvious target for automation. Voice AI has also matured enough in Indian languages over the past two years to handle the scripted-but-variable nature of collections calls, where an agent has to follow compliance rules while adapting to a borrower's excuses, promises and objections in real time.

For lenders, the appeal is straightforward: AI agents can call every overdue borrower on schedule without the staffing costs, attrition and quality inconsistency that come with large outsourced call centers, while still generating a full transcript and structured data for compliance and portfolio-risk teams.

What's Next

Rezolv said it will use the fresh capital to strengthen its AI tools across the full lending funnel — sales, risk assessment, underwriting support and collections — rather than staying narrowly focused on collections alone. The company also plans to expand beyond India, taking its voice-AI stack to lending markets with similar characteristics: large unbanked or underbanked populations, multiple local languages, and lenders looking to cut the cost of servicing small-ticket loans.

Norwest's investment adds Rezolv to a small but growing cluster of Indian AI-for-financial-services startups that have drawn global VC interest this year, as investors bet that voice AI's leap in accuracy for regional languages makes it viable for high-volume, compliance-heavy use cases like lending collections — a segment that was until recently considered too sensitive and too language-dependent for automation.

Sources

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RezolvNorwest Venture PartnersVertex Ventures3one4 CapitalKissht