Comply.io vs Akur8
Side-by-side comparison of AI visibility scores, market position, and capabilities
Governance, risk, and compliance platform automating security and compliance programs for SOC 2, ISO 27001, HIPAA, GDPR, and PCI DSS; connects to cloud infrastructure to automatically collect evidence and monitor controls for tech companies.
About
Comply.io is a compliance automation platform that helps companies build, manage, and automate their information security compliance programs for frameworks including SOC 2, ISO 27001, HIPAA, GDPR, and PCI DSS. The platform provides compliance roadmaps, policy templates, evidence collection automation, vendor risk assessments, and real-time monitoring of security controls, reducing the time and cost of achieving and maintaining compliance certifications. Comply.io targets tech companies and startups that need to demonstrate security compliance to enterprise customers as a prerequisite for deals, but lack the dedicated compliance teams to manage the process manually. The platform connects to cloud infrastructure (AWS, GCP, Azure) and business tools to automatically collect compliance evidence, reducing the manual effort of documenting controls. Founded in Portland, Oregon, Comply.io raised funding from investors including Craft Ventures and Founders Fund and has grown as SOC 2 compliance has become a standard requirement for B2B software sales. It competes with Drata, Vanta, and Secureframe in the automated compliance 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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