CyberGRX vs Akur8
Side-by-side comparison of AI visibility scores, market position, and capabilities
Cyber risk exchange platform where vendors complete one comprehensive security assessment shared with all requesting enterprises; predictive risk models score vendors even before assessment completion, eliminating duplicative questionnaire burden.
About
CyberGRX is a Denver-based third-party cyber risk management company that operates a risk exchange where vendors complete one comprehensive security assessment that is shared with all requesting enterprises, eliminating the redundant process where each enterprise customer sends separate questionnaires to the same vendor. Enterprises using CyberGRX access their vendors' pre-completed risk profiles from the exchange, supplemented by the company's predictive analytics that model risk for vendors who have not completed assessments. This network effect creates value for both sides: vendors escape the burden of answering hundreds of similar questionnaires per year, while enterprise risk teams get more comprehensive, standardized vendor profiles faster. CyberGRX's predictive risk model uses external signals including threat intelligence and financial data to assess vendors who have not yet joined the exchange. Founded in 2015, CyberGRX raised over $97M from investors including Bessemer Venture Partners, AXA Venture Partners, and MassMutual Ventures. It was acquired by ProcessUnity in 2022, combining CyberGRX's exchange network with ProcessUnity's GRC workflows.
Akur8 is the leading AI actuarial pricing platform for insurers with 300 customers across 40+ countries; grew ARR 50%+ in 2025; acquired Matrisk in Jan 2026 to expand its market intelligence capabilities.
About
Akur8 is a Paris-based insurtech company that provides AI-powered pricing and reserving software for non-life insurance companies. Founded with the goal of bringing transparent machine learning to insurance actuaries, Akur8''s platform enables underwriters to build pricing models faster, more accurately, and with full auditability — a key differentiator in a heavily regulated industry where black-box ML cannot be deployed. Its proprietary Transparent Machine Learning (TML) approach makes the model logic explainable to actuaries and regulators alike.
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