Karta AI, a Bengaluru-based startup that builds voice AI agents to handle inbound customer calls for banks, lenders, fintech companies and insurers, has raised $3 million (around Rs 28 crore) in a seed funding round led by PeerCapital and Cedar Hill Capital.
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Wyser VC, CDM Capital and Seedstars also participated in the round, the startup said in a press release on Thursday, although it has not disclosed its valuation.
Karta AI said the funds will go towards strengthening the platform’s end-to-end automation and multilingual capabilities, expanding deployments with financial institutions, and scaling its engineering and go-to-market teams.
Who is behind Karta AI
Karta AI was founded in 2024 by Vijaypal Singh and Abhishek Kushwaha, both former Razorpay executives. Singh said the two had worked on internal AI automation at the fintech company before leaving to start Karta AI.
The startup began with chat-based automation and moved into voice in August 2025. It now offers an omnichannel customer communication platform across voice, chat, email and WhatsApp, though its main focus is voice.
According to Singh, Karta AI has 10-12 paying customers, including PhonePe, Pine Labs, Bajaj and Aavas.
What the platform does
Most voice bots are built to handle one specific query at a time. Karta AI’s agents are designed to deal with several customer requests, or intents, within a single conversation, and to carry out the required workflows by connecting with a lender’s or insurer’s enterprise systems.
For example, a borrower may call to check the status of a loan disbursal and ask for a foreclosure statement on the same call. The agent has to recognise both requests, pull the relevant information from different systems and start both processes.
The startup targets what the industry calls level 2 and level 3 queries, which need data from multiple systems, rather than level 1 queries such as basic FAQs that can be answered with a single lookup.
According to Singh, level 1 queries make up 30-40% of customer service volumes but only about 10% of costs, while level 2 and level 3 queries together account for around 80% of customer service costs.
Its proprietary predictive context engine draws on standard operating procedures, knowledge bases, past conversations handled by both human agents and AI, and data from enterprise systems. This lets an agent handle follow-up requests in the same call without treating each query in isolation.
Singh said the startup uses models from OpenAI and Google’s Gemini family, along with open-source models such as Kimi and Gemma.
Calls involving fraud or other high-risk matters, and processes without clearly defined standard operating procedures, are routed to human agents. Customers can also ask to speak to a person.
A crowded field in BFSI voice AI
Karta AI’s raise is the latest in a run of funding rounds for Indian startups building voice AI for banking, lending and insurance.
Desible.ai recently raised Rs 32 crore in a Seed Plus round led by Prime Venture Partners. In September, Navana.ai raised Rs 40 crore in a Series A round led by upGrad co-founder Ronnie Screwvala. Navana.ai said it has delivered over 100 million voice AI minutes to BFSI clients.
In August, Mumbai-based Rezolv raised $12.5 million in a Series A round led by Norwest. Its AI voice agents work across 11 Indian languages for sales, customer service and collections.
Other players in the segment include Arrowhead, which focuses on voice AI for financial services, and Gnani.ai. While some platforms concentrate on specific workflows such as collections and underwriting, Karta AI has chosen to focus on inbound calls, where customers reach out about issues such as failed payments, blocked cards, loan queries and insurance claims.
