Banks, NBFCs and insurers in India are past the pilot stage with AI. RBI’s push for explainable, traceable AI, the need for sovereignty, the scale of unsecured lending and the sheer volume of KYC compliance work have created a real demand for agentic AI that can operate inside regulated workflows. Indian startups have risen to this challenge and here are five startups BFSI companies must watch for and vet due to the innovative ways they are solving the industry’s problems.
KOGO AI
KOGO AI took an unusual route to agentic AI and they did it much before giants like Claude ever did. Founded in 2020 by Raj K Gopalakrishnan and Praveer Kochhar, the company quickly pivoted from a travel AI tool to building an AI operating system, KOGO OS. Today, it has evolved into KOGO Workspace, a platform for creating, managing and deploying AI agents across regulated industries, all within the four walls of the company.
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For BFSI companies looking to protect their proprietary work product and business processes, KOGO Workspace is a gold standard. Backed by MapmyIndia, KOGO OS runs on a proprietary architecture called AgentGraph, powered by a swarm of small language models. The Bengaluru-based startup also launched an AI Agent store in 2024, much before any brand across the world delved into the AI agent space where businesses can access 58+ ready-made agents that can be deployed in minutes. Although its total funding is modest with a team of 39 employees, this small team is building infrastructure meant to sit underneath enterprise AI, which is private and air gapped, exactly the kind of tech heavily regulated industries like BFSI need.
HyperVerge
Hyperverge runs one of the largest verification stacks in India with over 2 billion identity verifications processed and millions handled daily across 500+ enterprises. Its core products span passive liveness and face authentication, deepfake detection, video KYC and document intelligence tools like Docs AI and Shopfront AI, which reads business signage and verifies physical location for onboarding. It holds a US patent on its eKYC and identity verification technology.
Named enterprise logos include Angel One, CRED, INDMoney, L&T Finance and Zepto, and the company’s product set is specifically designed for digital banks, lending and BNPL platforms, fintech wallets and insurance. Its forgery-check tooling now flags GenAI-generated documents and it helps the industry tackle the rising cases of AI-driven fraud. What makes Hyperverge worth watching is the direction it’s taken over the years. It started as an API vendor for KYC checkboxes and has steadily moved up the stack toward the harder, higher-stakes parts of onboarding and fraud prevention. Hyperverge is a conscious business, which even started a CSR initiative for high-potential learners from under-resourced backgrounds to build real, long-term careers in tech. The company has lifted tens of families from poverty with this initiative.
Gnani.ai
Gnani.ai is the most mature and BFSI-concentrated name on this list. Founded in 2016 by Ganesh Gopalan and Ananth Nagaraj, this Bengaluru-based company builds a fully in-house voice AI stack, speech-to-text, text-to-speech and proprietary 14-billion parameter speech-to-speech model called Inya VoiceOS, launched at the India AI Impact Summit in 2026 as a sovereign, India-built alternative to voice AI models.
Gnani works with 3 of the top 5 Indian banks, 5 top NBFCs, top BNPL players, the top 3 insurance companies and leading microfinance institutions. Named enterprises like Bank of Baroda, HDFC Bank, IDFC First bank and Muthooth Finance are its customers. It processes over 30 million voice interactions daily across 12+ languages for 200 enterprises. The company raised $10 million in the first trance of the series B round in March 2026, led by Aavishkaar Capital with Info Edge Ventures participating and was EBITDA profitable on a revenue of Rs 53.87 crore. It was also selected under the IndiaAi Mission to help build core sovereign AI models, a signal that the government sees Gnani as a strategic infrastructure vendor.
Augmen
Augmen is the newest and smallest company here and it is solving a problem that other AI companies largely skip, credit access for low-literacy borrowers who can’t navigate English-heavy loan forms. Founded in Mumbai in 2024 by Suarabh Awasthi and Amit Pandey, the startup builds multilingual conversational AI agents that guide borrowers through lending journeys via voice, chat and video, aimed at NBFCs, micro finance institutions, banks and government lending programs.
Its positioning as an active CRM layer as it doesn’t just store customer data but continuously generates intelligence from every interaction, distinguishing it from static onboarding tools. As of mid-2026, it serves clients across India and the UK with plans to enter the US market by the end of the year. While its funding details remain unknown, its founders have previously launched Chayan.ai and GoYayy.
Riverline AI
Riverline AI tackles the least glamorous part of lending collections. Founded in Bengaluru in 2024 by Ankit Sanghvi, Jayath Krishnaprakash and Abhishek Gupta, the startup builds AI debt collector agents that replace aggressive call-center recovery tactics with a more patient, compliance-first negotiation model, delivered over WhatsApp, email and voice.
The traction numbers are the strongest signal relative to any startup in this sector of its age. Within seven months of its launch, Riverline’s agents were managing collection across more that Rs 100 crore of bad loans every month, working with digital-first lenders including CRED, Fero, Nira and Propelld. The company raised Rs 825K in pre-seed funding in November 2025 led by South Park Commons with angel participation from Google, Meta, M2P and Hyperverge.
Riverline is pree-seed and unproven beyond its current digital-lender client base but the empathetic agent thesis addresses a real regulatory pressure point as RBI has been tightening rules on recovery-agent conduct. A compliant AI layer is a plausible answer to this pressure.
