Bengaluru-based startup Karta AI has secured $3 million in seed funding led by PeerCapital and Cedar Hill Capital. Founded by former Razorpay executives, the company focuses on building voice AI agents for complex financial services queries. The startup plans to use the new capital to improve its technology and expand its team to support clients like PhonePe, Pine Labs, Bajaj, and Aavas.
Karta AI, a Bengaluru-based startup, has raised $3 million in a seed funding round led by PeerCapital and Cedar Hill Capital. Established in 2024 by former Razorpay executives Vijaypal Singh and Abhishek Kushwaha, the company is building voice artificial intelligence tools specifically for the banking, insurance, and fintech sectors. Unlike standard chatbots that handle simple frequently asked questions, the platform aims to address more complex customer service tasks, such as loan status checks, foreclosure requests, and payment failure resolution.
Moving Beyond Basic FAQs
The primary value proposition for financial firms is cost reduction. Most banking and insurance companies currently rely heavily on human call center agents for complex queries, which often require accessing and synchronizing data across multiple internal systems. Karta AI’s platform is designed to handle these multi-step workflows by integrating with existing company knowledge bases. The technology uses a mix of models, including those from OpenAI, Google, and open-source options, to maintain conversation context. However, for high-risk activities like fraud detection or where clear procedures are absent, the system is programmed to transfer the call to a human operator, acknowledging the limitations of AI in critical financial decision-making.
Competitive Landscape and Risks
The demand for voice automation in India's financial sector is high, leading to a crowded market. Karta AI faces competition from several other players, including Desible.ai, Navana.ai, and Rezolv, which are also targeting the automation of collections, underwriting, and customer engagement processes. For investors and industry observers, the success of these platforms depends on several factors beyond just technology. First, financial firms are highly regulated; any error in an AI interaction or failure in data security can lead to significant reputational and regulatory consequences. Second, the ability to scale while maintaining high accuracy in diverse Indian languages is a persistent challenge for all voice AI startups.
What Investors Should Monitor
Karta AI currently reports a client list that includes major entities such as PhonePe, Pine Labs, Bajaj, and Aavas. The core monitorable for the company's growth will be its ability to prove that its voice agents can consistently reduce the reliance on human agents for complex queries without creating new service errors. As the company uses this fresh capital to scale its engineering team and improve its multilingual capabilities, the market will look for evidence of successful long-term adoption among its existing large enterprise clients rather than just initial implementation.