Pibit.AI has secured $7 million in Series A funding to accelerate development of its CURE underwriting platform, an AI-driven system designed to turn complex insurance submissions into fast, trusted decisions.
The round, led by Stellaris Venture Partners with participation from Y Combinator and Arali Ventures, marks a significant step forward in the company’s ambition to modernise underwriting workflows across the industry.
Underwriting has traditionally been a labour-intensive, document-heavy process, with tools that have barely changed in decades. For Pibit.AI’s founder and CEO Akash Agarwal, the challenge is personal. Growing up watching his father spend long hours sorting forms as an insurance agent, Agarwal later saw AI transform sectors such as autonomous vehicles while underwriting remained rooted in manual processes. That contrast led to Pibit.AI’s founding question: if AI can drive cars, why can’t it drive better underwriting?
Pibit’s solution is the CURE (Centralized Underwriting Risk Environment) platform, which unifies every stage of underwriting—from submission intake and document parsing to research, risk scoring and workflow management—into one intelligent system. Modules such as ClearCURE for triage, DocumentCURE for document intelligence, ResearchCURE for data enrichment, RiskCURE for evaluation and WorkflowCURE for execution allow underwriters to move rapidly from raw submissions to decision-ready output.
Agarwal emphasised that CURE is designed to support underwriters rather than replace them. “AI should empower underwriters, not take their jobs,” he said. “Too many systems prioritise speed over trust. We’re building a platform that is transparent, explainable and gives professionals the confidence to move faster without sacrificing accuracy.”
With submission volumes rising and underwriting talent in short supply, insurers are struggling to maintain efficiency. Underwriters can still spend up to a third of their time on manual data entry and triage. Pibit.AI aims to solve this by combining advanced automation with human verification, ensuring accuracy that withstands audit scrutiny and consistency across teams.
Early results from customers such as HDVI, Shepherd Insurance, RMS Insurance Brokerage, Kinetic and Method Insurance Company show underwriting cycles reduced by as much as 85 per cent, a 32 per cent increase in gross written premium per underwriter and up to 700 basis points improvement in loss ratios. For carriers and MGAs, this has translated into sharper risk selection, increased capacity and faster growth.
Insurance leaders say the improvements are already tangible. Michaela Morrison, COO of Method Insurance Services, said Pibit.AI played a critical role in scaling operations nationally “without losing control”. Adam Price, CEO of Kinetic, added that the platform enables the company to process more than a billion dollars in submissions annually “without scaling overhead costs”, contributing to near-100 per cent premium growth.
Investors say the company is rewriting the way underwriting is done. Alok Goyal, Partner at Stellaris Venture Partners, said the industry has long been held back by manual reviews and inconsistent data. “With CURE, Pibit.AI automates and unifies workflows, improving accuracy, reducing costs and accelerating quote generation. We’re excited to support Akash and the team as they scale.”
Pibit.AI now employs more than 125 people and plans to expand its AI infrastructure, integrations and data partnerships. Its roadmap includes advanced risk models and API layers designed to adapt the platform to new insurance lines and emerging risks.
As insurers face mounting pressure from rising submission volumes and a shrinking talent pool, Pibit.AI is positioning itself as the bridge between human judgment and next-generation technology—turning underwriting from a largely manual craft into an intelligent, scalable science.
