Digital risk processing platform Cytora has partnered with InformData to integrate verified people data into its AI-powered insurance workflows. The collaboration enables commercial insurers to automatically validate applicant and business entity information during underwriting, policy administration, and claims processing, helping improve risk assessment, strengthen fraud detection, and enhance regulatory compliance.
Digital risk processing platform Cytora has announced a strategic partnership with verifiable people data network InformData. The collaboration embeds InformData’s background verification network directly into Cytora’s artificial intelligence workflows, enabling commercial insurance carriers to validate applicant and business entity data automatically during underwriting and policy management. The integration aims to streamline submission digitisation, policy renewals, claims processing, and mid-term adjustments while reinforcing fraud prevention protocols across complex commercial lines.
Integrating verifiable people data alongside traditional property and peril metrics provides commercial underwriters with a more comprehensive evaluation of enterprise risk. The enriched data pipeline strengthens institutional defences against fraudulent applications, misrepresentation, and regulatory compliance breaches. Beyond initial policy placement, the combined architecture supports ongoing risk monitoring across the coverage lifecycle, granting insurers continuous visibility into shifting operational liabilities, including insider cyber threats and corporate governance risks.
Juan de Castro, Chief Operating Officer at Cytora, stated that incorporating people data into digital risk flows enables commercial insurers to make faster, more accurate underwriting decisions while maintaining high compliance standards. Jackie Rousseau-Anderson, Chief Revenue Officer at InformData, added that embedding verified people data into automated insurance workflows delivers the trusted verification layer needed to evaluate the individuals behind commercial liabilities.
What it means for the industry
- Expands the use of alternative data in underwriting, enabling insurers to assess both people-related and business-related risks more comprehensively.
- Strengthens fraud prevention and compliance by embedding verified identity and background data directly into automated insurance workflows.
- Improves underwriting efficiency through AI-driven verification, reducing manual checks and accelerating policy issuance and renewals.
- Supports continuous risk monitoring, allowing insurers to identify emerging risks throughout the policy lifecycle rather than only at onboarding.
- Advances digital transformation in commercial insurance, demonstrating how integrated data ecosystems can improve decision-making, operational efficiency, and risk management.
- Highlights the growing convergence of AI and trusted data sources, as insurers increasingly combine automation with verified third-party data to enhance underwriting accuracy and customer outcomes.
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