Pibit.AI’s flagship product, CURE, serves as a unified intelligent platform that brings the entire underwriting lifecycle into one streamlined system, improving speed, accuracy, and operational efficiency for insurers.
Pibit.AI, an insurtech startup focused on building AI-driven underwriting systems, has secured $7 million in a Series A round led by Stellaris Venture Partners, with continued support from existing backers Y Combinator and Arali Ventures.
The new capital will support advanced product development and help accelerate industry-wide adoption of the company’s flagship Centralised Underwriting Risk Environment (CURE) platform.
Pibit.AI was founded on a simple belief AI should empower underwriters, not replace them,” said Akash Agarwal, Founder and CEO of Pibit.AI. “Many systems prioritise speed at the expense of trust. We’re building a platform that is transparent, explainable, and decision-ready one that gives underwriters confidence in every output while enabling them to work faster than ever.
Pibit.AI’s flagship product, CURE, is a unified intelligent platform that streamlines the full underwriting lifecycle, managing submissions, document parsing, research, risk assessment, and workflow orchestration within a single system.
ClearCURE handles submission triage, DocumentCURE extracts and structures incoming data, and ResearchCURE enriches it with real-time insights transforming raw submissions into decision-ready outputs in a fraction of today’s turnaround time. RiskCURE layers portfolio-specific risk signals on top, while WorkflowCURE brings all tasks, insights, and collaboration together in one unified workspace.
According to the press release, CURE users have seen underwriting cycles accelerate by up to 85%, along with a 32% rise in gross written premium per underwriter and as much as a 700-basis-point improvement in loss ratios. For insurers, these gains translate into greater capacity, faster growth, and more precise risk selection, the company said.
Alok Goyal, partner at Stellaris Venture Partners, said, “Underwriting has long been held back by manual processes, inconsistent data, and outdated tools that haven’t kept up with the surge in submission volumes.
Over the next 12–18 months, the company plans to strengthen the CURE platform with more advanced risk models, deeper API integrations, and expanded data partnerships, enabling it to support additional business lines and address emerging risks more effectively.
