Cytora, a London-based artificial intelligence company specializing in digitizing commercial insurance workflows, and LexisNexis Risk Solutions formed a strategic relationship to strengthen risk selection and automation for U.S. commercial insurers.
The integration embeds external data and analytics directly into AI-enabled underwriting workflows.
The collaboration focuses on speeding up digital risk processing by connecting LexisNexis data capabilities with the Cytora platform. Insurers gain a more structured way to assess, predict, and manage risk across portfolios.
Cytora’s Risk Digitization Platform converts incoming risk documents into structured digital data. Powered by large language models tailored to commercial insurance, it requires no user training and supports over 140 languages.
The system enables insurers to create configurable “risk flows,” integrating internal and third-party data sources for underwriting, renewal, and claims processing.
Cytora platform helps insurers, brokers, and reinsurers transform unstructured submissions, policies, and claims into structured, decision-ready data.
In 2025, it was acquired by the global software provider Applied Systems to expand its reach in digital risk processing. Total funding: $41 mn in Series A-B
A more centralised underwriting model gives carriers deeper visibility into risk selection. Cytora’s configurable platform, built with large language model capabilities, allows insurers to tailor external data inputs to internal underwriting rules. This improves execution across processes such as submission triage and entity resolution.
By digitizing every stage of the insurance lifecycle, Cytora reduces manual data handling and underwriting friction, delivering faster quoting, improved loss ratios, and higher profitability.
Clients such as Chubb and Markel report shorter turnaround times and improved broker service. The platform also enhances explainability and traceability, supporting compliance and audit requirements.
The integration automatically enriches incoming submissions with external datasets, reducing manual lookups and lowering operational friction.
According to Beinsure analysts, automating data enrichment remains a core step for insurers aiming to scale underwriting efficiency without increasing headcount.
Cytora digitises incoming risks, enhances them with third-party data, evaluates them against predefined rules, and routes them for automated or manual underwriting decisions.
LexisNexis Risk Solutions adds advanced analytics and proprietary entity-linking technology, turning raw inputs into structured insights across the policy lifecycle, including new business, claims, and renewals.
The first phase includes integration of U.S. commercial firmographic data through LexisNexis Commercial Data Prefill.
This marks the starting point for adding more data products into the Cytora ecosystem over time.
Juan de Castro said the collaboration expands the platform’s data ecosystem and gives insurers more control over risk selection. He pointed to improved decision speed and a more complete view of client risk profiles as immediate outcomes.
David Zona said combining AI workflows with data intelligence shifts underwriting toward a more proactive model. He added that automation and detailed analytics allow insurers to assess portfolio risk with greater precision while improving operational efficiency.
The announcement follows the release of Cytora Autopilot, an agentic AI capability designed to automate end-to-end risk workflows.
It also builds on Cytora’s expanded work with Arch Insurance, extending platform use into London Market operations.
