Bengaluru's Desible.ai raises Rs 32 crore for AI agents that serve banks and insurers

Desible.ai, a Bengaluru-based start-up that builds artificial intelligence agents for banks, lenders and insurers, has raised Rs 32 crore in a seed-plus funding round led by Prime Venture Partners, with existing investor Invention Engine also taking part. The round was reported on Wednesday, October 7, 2026. The company, founded in 2025 by Uttam Tiwari and Omkar Raikar, said it will use the money to expand its agentic AI capabilities, build out its compliance infrastructure, grow its sales and go-to-market teams, and develop its product. A significant part of the funding is to go to its compliance offering.

"Agentic AI" refers to AI systems that do not just answer questions but carry out multi-step tasks, such as calling a borrower about a missed payment, recording the response, updating records and flagging the case for a human if needed. Banks and lenders handle enormous volumes of such routine interactions, from reminders and verification calls to service requests. Automating them can cut costs and speed up service, which is why investors are backing start-ups in this space.

The emphasis on compliance is the most telling part of this round. Financial firms in India operate under strict rules on how they contact customers, what they can say, how they record consent and how they protect data. An AI agent that talks to customers must follow those rules every time. By putting much of the new money into compliance features, Desible.ai is signalling that trust and auditability, not just clever conversation, will decide which AI vendors banks are willing to use.

For India's start-up ecosystem, the deal shows continued investor appetite for early-stage AI companies that sell to enterprises in a specific industry, rather than general-purpose tools. Founded only last year, Desible.ai has moved from an accelerator cheque to a Rs 32 crore round, according to reports.

Short-term: Desible.ai is likely to hire engineers, compliance specialists and sales staff as it expands, and to pitch more financial institutions.

Long-term: If AI agents prove reliable and compliant, more routine customer interactions at banks and insurers could be automated, changing how customer service and collections are staffed.

Who is affected: Banks, non-bank lenders and insurers; customer service and collections staff; regulators watching AI use in finance; and customers who will increasingly talk to AI agents.

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