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Karta AI Raises $3 Mn To Automate Inbound Calls For BFSI Players

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Karta AI Raises $3 Mn To Automate Inbound Calls For BFSI Players

Agentic AI startup Karta AI has raised $3 Mn (around ₹28 Cr) in a seed funding round led by PeerCapital and Cedar Hill Capital. The round also saw participation from Wyser VC, CDM Capital and Seedstars.

The startup intends to use the fresh capital to expand its go-to-market (GTM) strategy and distribution over the next two years. A portion will also help it expand its product development, particularly capabilities around emerging AI technologies such as self learning, cofounder and CEO Vijaypal Singh told Inc42.

Founded in 2024 by former Razorpay executives Vijaypal Singh and Abhishek Kushwaha, Karta AI offers an omnichannel customer communication platform spanning voice, chat, email and WhatsApp.

The startup focuses primarily on voice-based interactions, targeting complex inbound queries that require coordination across multiple enterprise systems rather than routine frequently asked questions. 

It claims to handle around 2 Mn customer conversations a month across more than 25 languages. According to Singh, it has 10-12 paying customers, including PhonePe, Mindlabs, Bajaj and Aavas.

Karta AI deploys its AI agents across customer servicing and retention workflows at financial institutions. 

The startup claims its agent resolves around 70% of borrower queries end to end without human intervention, reducing the cost per query by approximately 50%. These queries include requests for loan disbursal updates, statements of account, foreclosure statements and the release of property documents.

It focuses on inbound interactions, where customers contact businesses to resolve issues such as failed payments, blocked cards, loan-related queries and insurance claims. Unlike outbound calls, which businesses typically initiate for a specific purpose, inbound conversations can involve multiple queries and require AI agents to retrieve information and execute actions across several systems.


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