Insurtech startup Pibit.AI raises $7M led by Stellaris Venture Partners
Pibit.AI provides a technology platform that assists underwriters in insurance companies to perform their tasks faster and more accurately.
San Francisco-headquartered insurtech startup Pibit.AI has raised $7 million in a Series A round led by Stellaris Venture Partners, with participation from existing investors Y Combinator and Arali Ventures.
The company has a technology centre in Bengaluru.
Pibit.AI will use the capital to strengthen product development and marketing of its flagship tech platform—Centralised Underwriting Risk Environment (CURE).
Founded in 2020, Pibit.AI raised its seed round in 2023, and this startup’s technology platform enables insurance companies to underwrite risks faster and more accurately with fewer errors. It claimed that its CURE platform reported up to 85% faster underwriting cycles, a 32% increase in gross written premium per underwriter, and up to 700 basis points of improvement in loss ratios.
Pibit.AI founder & CEO Akash Agarwal said the company believes that AI should empower underwriters and not replace them. “Too many systems prioritise speed over trust. We’re building something that’s transparent, explainable, and decision-ready — a system that gives underwriters confidence in every output while helping them move faster than ever before.”
According to the startup, underwriting teams at insurance companies still spend up to a third of their time on manual data entry, triaging, and enrichment. Pibit.AI said its tech platform handles submissions, document parsing, research, risk analysis, and workflow orchestration.
Alok Goyal, Partner at Stellaris Venture Partners, said, “Underwriting has long been constrained by manual reviews, inconsistent data and tools that haven't kept pace with rising submission volumes. With CURE™, Pibit.AI automates and unifies these workflows, improving accuracy, reducing costs and accelerating quote generation to drive higher revenue.”
Over the next 12–18 months, Pibit.AI plans to expand its risk models, API layers, and deepen data partnerships.
Edited by Affirunisa Kankudti

