Development of an AI-powered InsurTech platform for extracting and analyzing insurance data

Our client, a leading InsurTech company in the USA, delivers award-winning insurance technology solutions. Their innovative platform automates the extraction and organization of insurance program data, converting it into report-ready analytics and dashboards.

By eliminating manual data entry, their solution unlocks the full potential of insurance data trapped in PDFs. With one-click access to actionable Insurance Intelligence, they empower businesses to make data-driven decisions efficiently and accurately.

When the client approached us, they had a vision but no existing product - a challenge that required both speed and extensive technical expertise. They needed a development partner to bring their idea to life efficiently and effectively.

• Rapid MVP Development. Build a fully functional Minimum Viable Product (MVP) within three months to test market demand, validate the concept, and attract early adopters.

• AI-Powered Data Extraction. Develop a system capable of extracting and structuring data from both structured and semi-structured insurance documents with high accuracy.

• Scalable & High-Performance Architecture. Ensure the solution could handle large volumes of insurance program data, integrating seamlessly with existing workflows.

• Seamless Integration & Compliance. Ensure smooth integration with existing insurance industry platforms while adhering to security and regulatory standards.

• User-Centric Experience. Design an intuitive interface that simplifies data retrieval, visualization, and reporting, eliminating the need for third-party tools or manual data entry.

Given the tight deadline and technical complexity, the client required an expert agile team that could move fast, adapt efficiently to evolving requirements, and deliver an MVP on time without compromising quality, performance, or scalability.

To bring the client's vision to life, we assembled a dedicated agile team of senior .NET developers, a machine learning engineer, and a testing team, all working under the guidance of the client's CTO. Our approach focused on:

• Cloud-Based Scalability. Built on Microsoft technologies and Azure cloud, ensuring robust infrastructure for handling large datasets with high reliability.

• Machine Learning-Powered Data Extraction. We implemented advanced AI models to accurately extract, interpret, and structure insurance program data from various document formats.

• Agile Development & Rapid Prototyping. Our team quickly iterated on the core functionality, enabling the client to test features with early users and refine based on feedback.

• Seamless Integration & User-Centric Design. Designed an intuitive interface for easy data access, analytics, and reporting, ensuring minimal friction for users.

Within the three-month deadline, our team successfully delivered a functional MVP that validated the technical feasibility of the client's innovative idea, attracted early adopters, and established a solid foundation for future enhancements and growth.

The initial MVP proved to be a game-changer, demonstrating the viability of the client's innovative solution, attracting key industry interest, and setting the stage for broader adoption. It laid a strong foundation for scaling, and driving continuous improvements.

• Successful Market Validation. The MVP confirmed technical feasibility and generated interest from key industry players.

• Securing Major Clients & Investors. The client signed partnerships with large U.S. insurance companies

• Team Expansion & Continuous Development. The project has grown into a dedicated team of eight professionals, including .NET developers, machine learning specialists, and testers, who continue to refine and expand the platform.

• Industry Recognition & Growth. The platform has positioned the client as an innovator in the InsurTech sector, with a rapidly growing user base.

By delivering a scalable, AI-driven solution within record time, we enabled the client to revolutionize the insurance industry, streamline data processing, and pave the way for a more intelligent, data-driven future in insurance analytics.