Osano vs Akur8
Side-by-side comparison of AI visibility scores, market position, and capabilities
Data privacy management platform providing cookie consent, privacy monitoring, and vendor risk tracking for SMBs and enterprises; continuously monitors third-party SaaS privacy policies and alerts companies to changes that create compliance exposure.
About
Osano is an Austin-based data privacy software company that provides businesses with tools for managing cookie consent, monitoring vendor data privacy practices, and operationalizing data privacy compliance programs. The company's consent management platform (CMP) enables websites to collect, store, and manage user cookie consent in compliance with GDPR, CCPA, and other privacy laws, with a consent UI that can be customized for brand consistency. Osano's vendor privacy monitoring service continuously tracks the privacy practices of thousands of third-party SaaS tools, alerting companies when a vendor's privacy policy changes in ways that could create compliance exposure. The platform also provides data subject rights management and employee privacy training. Osano is known for its transparency-first approach, publishing its own data practices and offering a free tier for basic consent management. Founded in 2018, Osano raised over $25M from investors including Sorenson Capital and Scaling Point. It competes with OneTrust, Cookiebot, and TrustArc in the data privacy management and consent platform 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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