Pibit AI, an insurtech startup focused on applying trusted artificial intelligence to underwriting, has raised seven million dollars in new funding. The investment round aims to accelerate the development and adoption of Cure, the company’s flagship underwriting platform designed to assist insurers with faster and more accurate risk assessment.
The funding round includes participation from existing and new investors who have shown interest in the company’s approach toward responsible and transparent AI. The company stated that Cure has been built as an enterprise grade system that blends predictive models, document intelligence and policy workflows to help underwriters process complex data while maintaining compliance and audit requirements. With this investment, Pibit AI plans to strengthen its engineering capabilities and expand its presence across insurance markets in the United States and Asia.
Founded by executives with experience in insurance analytics and machine learning, Pibit AI focuses on solving challenges that insurers often face with manual underwriting processes. These challenges include long review cycles, varied document formats, limited data quality and the need to interpret unstructured content. Cure aims to address these gaps by extracting information from submissions, summarizing key risk factors and generating insights that can be used by underwriters without replacing their decision making role.
According to the company, Cure is designed as a trusted AI platform, meaning it incorporates explainability features, model transparency and audit readiness. These tools allow underwriters to review how insights were generated, which aligns with increasing regulatory expectations around AI usage in financial services. In recent years, insurance regulators have placed stronger emphasis on fairness, accuracy and data governance, prompting many enterprises to look for systems that offer accountability alongside automation.
Industry reports indicate that insurers are increasing investments in AI driven solutions for operational efficiency. Many enterprises are adopting systems that combine automation with human oversight rather than fully automated risk scoring. Pibit AI positions Cure within this category, describing it as a platform that enhances decision quality by giving underwriters access to structured, verified information extracted from a variety of sources.
The company’s leadership highlighted the importance of building AI systems that underwriters trust. They noted that insurers often hesitate to adopt end to end automated decision systems due to compliance and liability concerns. Pibit AI aims to address this by designing tools that support underwriters with evidence based insights rather than replacing domain expertise. Early adopters of Cure have reportedly used the platform for commercial lines, specialty insurance and complex multi document submissions.
The startup plans to use the newly raised capital to expand product capabilities, including advanced document understanding features, deeper integration with carrier systems and expanded risk models. The company also intends to make the platform more compatible with distributed enterprise environments so that insurers can deploy Cure across multiple departments while maintaining data protection standards.
Pibit AI’s roadmap includes scaling its team of engineers, data scientists and insurance specialists who can support customization for global insurers. The company noted that enterprises frequently require localization of models as well as the ability to reflect regional regulatory rules. With insurers increasing their use of AI for document analysis and risk intelligence, Pibit AI expects demand to rise for tools that combine speed with adherence to governance frameworks.
Market analysts have observed that investment activity in insurance technology has remained stable, especially for companies focused on underwriting transformation. The recent funding indicates investor confidence in platforms that apply AI responsibly and offer measurable improvements in operational processes. The company stated that Cure has already delivered efficiency improvements for underwriting teams by reducing manual data entry and enhancing data accuracy across submissions.
In addition to expanding product capabilities, Pibit AI plans to invest in partnerships with carriers and brokers. The platform’s architecture supports integration with third party data sources and existing policy systems, which the company believes will help insurers streamline workflows without major infrastructure changes. Collaboration with distribution partners is also part of the company’s strategy as insurers increasingly look for more connected and intelligent underwriting pipelines.
Pibit AI’s management emphasized that building trusted AI for insurance requires balancing automation with human judgment. As insurers adopt more digital tools for underwriting, the ability to maintain explainability and compliance has become a priority. The company intends to position Cure as a system that brings together operational efficiency and responsible AI principles.
With this new capital infusion, Pibit AI is preparing for broader commercial deployment and deeper product innovation. The company expects to expand its customer base and continue building features that support better risk evaluation, faster responses to submissions and improved collaboration between underwriting teams. As insurers look for reliable technology partners to modernize their operations, platforms like Cure are emerging as important components of digital transformation strategies.