Productising the Lending Lifecycle. Rezolv Raises $12.5M to Standardise AI-Native Collections
Automating debt collections with native intelligence transforms legacy credit infrastructure into scalable software products. Capital efficiency in digital lending relies on recovery margins, yet financial institutions often manage collections through fragmented, rules-based legacy systems.
Rezolv’s latest $12.5M Series A funding round, led by Norwest with participation from Vertex Ventures Southeast Asia and India alongside 3one4 Capital, provides validation of operational resilience and strengthens capabilities to automate credit lifecycles end-to-end.
Akshay Sharma, Principal, Investments at 3one4 Capital, said “This round validates a thesis we've backed with conviction: the shift from services to product as AI transforms debt collection, and Rezolv's full-lifecycle platform is capturing that shift in a way few have managed despite multiple prior attempts at this problem. Beyond the product itself, Karan and Sonali have shown exceptional execution — the quality and sheer number of marquee lenders they've signed speaks to how deeply Rezolv has embedded itself in the ecosystem. Their execution gives us tremendous conviction to deepen our commitment as existing investors in this round.”
Our partnership with founders Karan Mehta and Sonali Jindal began when we led the $3.5M seed round last year to address critical operational needs within India's financial services sector, driven by conviction that the collections sector required a transition from manual services to unified software. Rezolv replaces fragmented legacy core software with a unified, self-compounding collections operating system.
The Fresh capital will strengthen Rezolv's core AI capabilities across the lending suite, as Rezolv builds end-to-end automation for collection workflows and advances the vision of becoming a category-defining AI platform globally.
Rules-Based Legacy Systems Restrict the Scale of Modern Recovery
Today, Rezolv powers 6.5 million minutes of borrower conversations every month, enabling PAN-India collections across over 12 million loan accounts. Its Strategy Builder has delivered an impressive 35% improvement in bounce and resolution rates. Veteran leadership has secured deep enterprise trust rapidly, signing clients including AU Small Finance Bank, ICICI Bank, Poonawalla Fincorp, Bajaj Auto Credit, and Five-Star Business Finance, managing a footprint spanning diverse loan products.
Financial institutions often rely on fragmented legacy systems that stitch together narrow point solutions across origination, underwriting, collections, and compliance. Fragmentation prevents lenders from obtaining a unified view of delinquent portfolios, leaving collections strategies static and unresponsive.
Rezolv transforms debt recovery from a manual, high-cost operational bottleneck into a predictable product by pairing a comprehensive collections engine with purpose-built machine intelligence. AI-native infrastructure delivers immediate, quantified balance-sheet impact, validated by high resolution rates across over 22 major banks and NBFCs.
Every Repayment Event Operates as a Continuous Training Signal
Rezolv rebuilds the lending infrastructure stack to ensure every allocation decision, customer interaction, and repayment event functions as an active training signal. Sustained transaction volume compounds platform intelligence with every loan processed, allowing collections teams to design, test, and deploy strategies directly without engineering dependency.
Homegrown conversational voice agents automatically capture intent, promises, and dispositions on every call, feeding ground-truth data back into the core strategy builder. The strategy builder then orchestrates multi-channel engagement, coordinating digital communications via automated messaging channels, localised voice interactions, and field force management applications. Next, automated digital communication pipelines ensure borrowers receive clear, empathetic, and personalised reminders.
Generating valuable training data through debt collections ensures Rezolv maintains comprehensive insights into actual repayment behaviour and default patterns. Such data provides Rezolv with superior context regarding borrower risk. Expanding into loan origination therefore serves as a natural progression of the data flywheel.
Domain Expertise Accelerates Enterprise Adoption Across Marquee Lenders
Building enterprise-grade financial technology demands exceptional domain expertise and an uncompromised commitment to measurable business outcomes.
Our conviction in Rezolv’s product-led architecture remains absolute. The quality of execution demonstrated by the team highlights how deeply Rezolv has embedded its platform into the national lending infrastructure. The shift from services to products as machine intelligence transforms debt operations represents the next phase of financial services scale, defined entirely by quantifiable business metrics.
We look forward to continuing our partnership with Karan, Sonali, and the entire team as they scale their AI-native operating system globally, deliver exceptional outcomes across the entire lending lifecycle, and secure their position as a defining category leader in financial technology.
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