Insurtech startup Pibit.AI has raised a $7 million Series A round to accelerate adoption of its AI driven underwriting platform CURE, short for Centralized Underwriting Risk Environment. The funding is aimed at helping commercial carriers and managing general agents move faster from incoming submissions to informed risk decisions without expanding underwriting teams. By combining automation with explainable AI, the company is positioning CURE as a core infrastructure layer for modern commercial underwriting.
Tackling underwriting’s talent crunch
The raise comes at a time when the insurance sector is facing a deepening talent shortage as experienced underwriters retire and fewer young professionals enter the field. Submission volumes are rising across commercial lines, yet many carriers still rely on fragmented tools and manual processes to keep up. Pibit.AI is pushing its platform as a solution to this widening gap by enabling underwriters to handle more premium without increasing staff.
The CURE platform and trusted AI approach
CURE was built as a centralized environment that manages intake, document parsing, research, risk analysis, and workflow orchestration in one workspace. It automates data extraction from unstructured documents, enriches the information with additional datasets, and flags risk signals in a way that underwriters can validate. The company emphasizes transparency, audit readiness, and explainability so that AI enhances human decision making rather than replacing it.
Traction with carriers and MGAs
Pibit.AI reports that its customers now process billions of dollars in annual submissions through CURE without requiring larger underwriting teams. Some insurers have seen underwriting cycles accelerate by up to 85 percent, creating faster turnaround times for brokers and clients. Others have reported improvements in loss ratios, showing how disciplined automation can strengthen underwriting profitability.
Details of the Series A round
The Series A round is led by Stellaris Venture Partners, with participation from Y Combinator and Arali Ventures. The funding builds on earlier seed support and reflects growing investor confidence in vertical AI platforms tailored to regulated industries. Investors view Pibit.AI as a potential backbone system for underwriting, rather than another workflow tool layered on top of legacy processes.
Product roadmap and expansion plans
The company plans to use the fresh capital to expand research and development, strengthen product capabilities, and scale its AI infrastructure. Upcoming enhancements include more advanced risk models, deeper API connectivity, and expanded data partnerships to support emerging risks and new commercial lines. The roadmap also involves strengthening modules that manage document intelligence, triage, real time research, and portfolio level risk visibility.
Founder story and technical foundation
Pibit.AI was founded in 2020 by IIT Roorkee alumnus Akash Agarwal, who serves as chief executive officer. His motivation came from observing the heavy manual workload carried by underwriters and insurance professionals, including within his own family. The team behind CURE brings experience from technology firms and financial institutions, translating that expertise into a platform tailored for commercial P&C markets.
Positioning in the insurtech landscape
Unlike general purpose AI tools, Pibit.AI is focused on building a vertical AI platform specifically designed for commercial underwriting. The data it handles is heavily unstructured and the decisions require nuance, making explainability and control central to its design. By consolidating multiple point solutions into a single environment, the company aims to differentiate itself from legacy tools that address only parts of the underwriting chain.
Implications for commercial carriers and MGAs
For carriers and MGAs, systems like CURE offer a path to process higher volumes, shorten turnaround times, and maintain underwriting discipline despite talent shortages. By reducing time spent on manual data entry and initial triage, underwriters can devote more attention to complex risks and portfolio level decisions. In a competitive market, faster and more accurate underwriting can translate directly into growth and improved margins.
The $7 million Series A marks a meaningful milestone for Pibit.AI as it works to make AI driven underwriting the industry standard. With new capital, growing customer traction, and a platform built around trusted automation, the company is expanding its influence among carriers and MGAs. The next phase will determine how quickly Pibit.AI can convert investor confidence and product momentum into broader industry adoption.