Karta AI, an agentic artificial intelligence startup focused on customer support operations for financial institutions, has raised $3 million in a seed funding round co-led by PeerCapital and Cedar Hill Capital.
The round also saw participation from WYSER, CDM Capital and Seedstars. The company plans to build on its AI-powered voice technology, which is designed to handle complex customer queries across banking, lending, financial technology and insurance services.
Founded by Vijaypal Singh and Abhishek Kushwaha, Karta AI develops multi-intent voice agents that can manage inbound customer conversations, understand different requests and connect with enterprise systems to complete support processes.
Unlike voice automation tools primarily developed for outbound communication, where the purpose of a call is generally predetermined, Karta focuses on incoming customer requests that may involve several issues within a single conversation.
Its platform is designed to handle Level 2 and Level 3 support queries, which typically require more detailed investigation, access to customer records or coordination across internal systems.
According to Cedar Hill Capital, Karta's technology currently handles approximately two million customer conversations every month across more than 25 languages.
The investor also cited a deployment at a home loan company where the platform reportedly resolves around 70% of borrower queries from beginning to end, at approximately 50% lower service costs.
These performance figures were shared by the investor and have not been independently verified.
Karta's technology uses a Contextual Intelligence Engine to understand customer requirements during conversations and maintain relevant information while addressing multiple requests.
The approach is intended to reduce the need for customers to repeat information or move between different support channels when resolving complex issues.
Announcing the investment on LinkedIn, Subit Saurav of Cedar Hill Capital said financial institutions face significant challenges in handling inbound customer calls, particularly when existing customers contact organisations about unresolved problems.
He highlighted the importance of effective resolution in maintaining customer trust and continued use of financial services.
Saurav also said Karta's founders had demonstrated the capabilities of the company's Contextual Intelligence Engine and secured customers for the platform.
The investment comes as financial institutions evaluate AI-driven customer service systems to manage high call volumes, reduce operational costs and improve response times.
For banks, lenders and insurers, such applications must also operate within existing requirements for data protection, customer authentication and regulatory compliance.
Karta's focus on multi-intent conversations places its technology within the expanding market for agentic AI systems that can perform tasks rather than only provide automated responses.
The company has not publicly disclosed its valuation following the funding round or a detailed timeline for expanding its operations.
The investment adds to growing venture capital interest in AI-based customer experience platforms, particularly those addressing complex enterprise workflows in regulated industries.
Disclaimer: This article may include information derived from interviews, press releases, public statements, research, company communications and other publicly available or third-party sources. Such material may be summarised, paraphrased or contextualised for journalistic and editorial purposes. All rights in third-party content remain with their respective owners.
Related Articles
