Karta AI Raises $3 Million To Scale Agentic Inbound Voice AI For BFSI

• Karta AI’s voice agents handle the toughest inbound calls for banks, lenders, fintechs and insurers—complex, multi‑intent L2 and L3 scenarios.
• Proven ROI at a top home‑loan provider: roughly 70% of borrower queries are resolved end‑to‑end by AI, with cost to serve reduced by about 50%.
• Funding will strengthen the platform, deepen deployments, and expand engineering and go‑to‑market teams.

Bengaluru, October 22, 2026: Karta AI, a multi‑intent agentic voice AI platform for inbound customer operations in banking, financial services and insurance (BFSI), announced today that it has raised $3 million led by PeerCapital and Cedar Hill Capital, with Wyser VC, CDM Capital and Seedstars joining. The platform is already active with major financial institutions, managing roughly 2 million customer conversations each month in over 25 languages.

Enterprises are moving AI from merely answering queries to completing the underlying processes. When a critical issue arises—like a failed payment, blocked card, loan question or insurance claim—customers call, and inbound operations still rely on rigid IVR menus and high‑attrition contact centres, routing users through menus and transfers before resolution. Because solving these cases often requires coordination across multiple systems, AI must do more than converse; it must execute.

Karta AI is designed for inbound, a segment most voice AI avoids. It is a multi‑intent agentic platform, not a typical voice bot: its agents determine each customer’s needs—even when multiple intents are present—and resolve them without human help unless escalation is required. Deeply integrated with enterprise systems, it absorbs each institution’s operating context and orchestrates the necessary workflows. At its core is Karta AI’s predictive context engine: every prior interaction, whether human or AI, informs its resolution matrix, ensuring each call receives the proven solution. The engine converts each interaction into operational intelligence, learning how the business works and building judgment from production experience—just as humans do—making Karta AI more capable, less replaceable, and tightly embedded in enterprise processes.

The results are evident in the numbers. At a leading home‑loan provider, Karta AI’s inbound servicing agent now resolves about 70% of borrower queries end‑to‑end—up from zero—covering disbursal status, account statements, foreclosure details and property document releases. Only the critical 30% of cases are escalated to human experts, down from 100%, with full context attached. Queries that previously required hours or days are answered in seconds, 24/7, without branch visits or hold queues, and cost per query is roughly 50% lower. Servicing scales with the loan portfolio without adding headcount, allowing skilled staff to concentrate on cases requiring their expertise.

The same agents also drive revenue alongside savings. At a leading payments provider, Karta AI’s customer‑facing retention agent achieves 25% higher conversion rates than human agents.

Karta AI concentrates on the inbound customer journey for banks, lenders, fintechs and insurers. Inbound calls are usually longer and contain multiple intents, making them the most complex customer‑operation scenario. Because Karta AI’s predictive context engine manages this complexity and preserves context across use cases, it also applies to other journeys such as onboarding, servicing, claims, renewals and retention.

“Inbound is where financial institutions bear the highest cost and experience the most friction. We built Karta AI to resolve the tough calls—those requiring multiple systems and multiple answers—and to involve a human only when necessary. Our customers see measurable returns in lower cost to serve and higher conversion. This funding enables us to reach more institutions, and our vision is an intelligent assistant for every customer and an AI workforce handling every workflow,” said Vijaypal Singh, Co‑Founder and CEO of Karta AI.

Karthik Prabhakar, Managing Partner, PeerCapital, added: “We are excited to back Vijay and Abhishek on their mission to transform voice AI. Karta AI’s ability to master complex, multi‑intent dialogue bridges a critical market gap, elevating customer experience automation to a new level.”

Sahil Anand, Managing Partner, Cedar Hill Capital, added: “Most voice AI firms we encountered build for outbound calls—collections, reminders, lead qualification—where the agent initiates and intent is known. Inbound is far more challenging; the customer calls with unpredictable, often multi‑intent requests, and the agent must determine needs and resolve them. We have not seen many teams address inbound as Karta does. Its agents go well beyond first‑level queries to handle complex L2 and L3 issues, and they integrate with the institution’s workflows to accomplish tasks rather than merely routing calls. This focus on the toughest part of customer operations convinced us, and we look forward to partnering with Vijay and Abhishek as they scale Karta across Financial Services.”

Karta AI will leverage the funding to enhance the platform for end‑to‑end automation and multilingual support, deepen deployments with financial institutions, and expand its engineering and go‑to‑market teams. In the near term, it will broaden automation to additional inbound journeys. Over the longer term, it will develop reusable, industry‑specific capabilities and expand its agents into international markets.