Insurtech Startup Pibit.AI Raises $7 Million from Stellaris, YC & Arali

Pibit.AI, an insurtech company building AI systems for underwriting, 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 funding will be used to strengthen product development and accelerate industry-wide adoption of the company’s flagship Centralised Underwriting Risk Environment (CURE).

“Pibit.AI was built around one idea: that AI should empower underwriters, not replace them,” said Akash Agarwal, Founder and CEO of Pibit.AI. “Too many systems prioritise speed over trust. We’re building something transparent, explainable, and decision-ready, a system that gives underwriters confidence in every output while helping them move faster than ever before.”

Pibit.AI’s flagship is CURE, a unified, intelligent system that streamlines the entire underwriting lifecycle by handling submissions, document parsing, research, risk analysis, and workflow orchestration in a single platform. 

ClearCURE streamlines triage, DocumentCURE extracts and structures submission data, and ResearchCURE enriches it with real-time insights, turning raw submissions into decision-ready outputs in a fraction of the time it takes today. RiskCURE adds portfolio-specific risk signals, while WorkflowCURE unifies all tasks, insights, and collaboration into a single workspace.

According to the press release, CURE users have 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. For insurance providers, this translates to higher capacity, faster growth, and sharper risk selection, it said. 

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.”

In the next 12-18 months, the company plans to enhance the CURE platform with advanced risk models, API layers, and stronger data partnerships to better address new business lines and emerging risks.

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