Side-by-side comparison of AI visibility scores, market position, and capabilities
AI-powered cyber and tech E&O insurance with data-driven underwriting; Boston-based; distributes via brokers with proprietary risk advisory reports for healthcare and financial services.
Corvus Insurance is a Boston-based insurtech company that provides cyber liability, tech E&O, and miscellaneous professional liability insurance through an AI-powered underwriting platform. Corvus uses machine learning to analyze thousands of data signals about a company's digital footprint, supply chain dependencies, and security posture to generate dynamic risk assessments that inform pricing and policy terms. The company distributes exclusively through wholesale and retail brokers, providing them with a proprietary risk advisory report alongside each quote that helps brokers add value to their client conversations. Corvus serves a wide range of industries and business sizes, with particular strength in healthcare, financial services, and technology. Founded in 2017, Corvus raised over $100M from investors including Insight Partners, .406 Ventures, and General Catalyst. In 2023, Corvus was acquired by Travelers, one of the largest U.S. commercial insurers, accelerating its distribution and balance sheet capacity.
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.
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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