Pibit.AI Raises $7 Million Series A to Scale Its Underwriting AI Platform

For most underwriting teams, the struggle isn’t a lack of expertise—it’s the overwhelming volume of submissions, documents, and data that land on their desks every single day. In the middle of this growing complexity, Pibit.AI, founded by Akash Agarwal in 2020, has been quietly building technology that underwriters say finally understands their world.

Now, with a fresh $7 million Series A round led by Stellaris Venture Partners, and participation from Y Combinator and Arali Ventures, the company is gearing up to take its solution deeper into the insurance industry.

At the heart of Pibit.AI’s offering is CURE (Centralized Underwriting Risk Environment)—a platform built to bring order to an otherwise fragmented workflow. Underwriters who juggle submissions, document parsing, risk signals, and research across disconnected tools can now manage everything in one system.

CURE stitches together the full underwriting journey through five core modules:

  • ClearCURE for managing and triaging submissions

  • DocumentCURE for turning documents into structured intelligence

  • ResearchCURE for real-time enrichment and insights

  • RiskCURE for account-level risk assessments

  • WorkflowCURE for centralizing tasks and collaboration

Agarwal’s vision has been shaped by a simple observation: underwriting decisions depend on judgment and accuracy—but the tools available today often slow teams down instead of supporting them. Pibit.AI wants to change that by giving underwriters reliable, transparent technology that reduces the grunt work and frees them to focus on analysis.

With the new funding, the company plans to deepen adoption of CURE among insurance carriers and expand its product and engineering teams as demand grows.

Across markets, Pibit.AI is seeing the same trend—submission volumes rising, specialist capacity staying limited, and a clear need for systems that bring consistency and trust back into underwriting operations.

-By Muskan Dengra

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