ProcessUnity vs Akur8
Side-by-side comparison of AI visibility scores, market position, and capabilities
GRC platform specializing in vendor risk management and third-party risk programs; acquired CyberGRX in 2022 adding a cyber risk exchange network;
About
ProcessUnity is a Concord, Massachusetts-based governance, risk, and compliance platform that provides enterprise risk teams with tools for managing vendor and third-party risk, enterprise risk, IT GRC, and compliance programs. The company's Third-Party Risk Management platform automates the full vendor lifecycle from onboarding risk assessments through ongoing monitoring and offboarding, providing risk scores, issue tracking, and remediation workflows for managing large vendor portfolios. ProcessUnity acquired CyberGRX in 2022, adding a cyber risk exchange network and predictive risk analytics to its workflow automation capabilities. The combined company serves financial services, healthcare, insurance, and other regulated industries that face regulatory requirements to demonstrate third-party risk management programs. ProcessUnity integrates with internal GRC systems, procurement platforms, and threat intelligence feeds to provide a comprehensive view of third-party risk. Founded in 2010, the company has been backed by private equity and serves hundreds of large enterprises globally. It competes with OneTrust, ServiceNow GRC, and Archer in the enterprise third-party risk management market.
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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