Last reviewed: May 2026
Cyber insurtech platform with continuous AI risk scoring for insured customers.
At-Bay is an AI-powered insurance technology platform, offering capabilities in cyber risk scoring, cyber insurance pme, and monitoring continu. It serves Finance Professionals, Banks, Fintechs in the financial sector. The platform is particularly recognized for its cyber risk scoring and cyber insurance pme.
At-Bay is best suited for finance professionals, banks, fintechs at mid-market organizations. Pay-per-use pricing for finance & insurance teams.
Official website: At-Bay
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The platform is designed to address the specific challenges faced by Finance & Insurance organizations. Key users include Finance Professionals, Banks, Fintechs who rely on the platform for cyber risk scoring, cyber insurance pme, monitoring continu. The platform is scaled for Mid-Market organizations seeking to modernize their insurtech ai capabilities. In the rapidly evolving Finance & Insurance landscape, At-Bay stands out by combining insurtech ai capabilities with industry-specific features that address the unique challenges of cyber risk scoring, cyber insurance pme, monitoring continu. The platform enables Finance Professionals and Banks to transition from manual, error-prone processes to automated, data-driven workflows that deliver consistent results at scale. Compared to alternatives in the insurtech ai space, At-Bay differentiates itself through its focus on Finance & Insurance use cases, and Pay-per-use that accommodates organizations at different stages of their AI adoption journey.
Before adopting At-Bay or any InsurTech AI solution for your finance & insurance workflows, it is important to assess how the platform fits your specific requirements. Start by mapping your highest-priority pain points — whether that is reducing manual tasks, improving data accuracy, scaling customer interactions, or accelerating time to insight. At-Bay positions itself as a InsurTech AI solution, having been in the market since 2016, so evaluate whether its feature set directly addresses those pain points rather than relying on feature-list comparisons alone.
Request a live demo or proof-of-concept trial before committing to an annual contract. During the trial, measure concrete outcomes: task completion time, error rates, user adoption speed, and integration friction with your existing stack. Compare these metrics against at least two alternative vendors in the InsurTech AI space to establish a meaningful benchmark. At-Bay uses a Pay-per-use pricing model — make sure you understand the total cost of ownership including implementation, training, and any per-seat or usage-based fees.
Confirm deployment options meet your IT and compliance requirements. Verify what compliance certifications and data-handling guarantees the vendor provides, especially for regulated finance & insurance environments. Also ask about the vendor's SLA for uptime, support response times, and the data export process should you decide to switch providers in the future.
At-Bay is a InsurTech AI platform designed for finance & insurance organizations. Cyber insurtech platform with continuous AI risk scoring for insured customers.
At-Bay scores 8.6/10 on AI Scanner's independent evaluation. The score reflects performance (30%), usability (25%), pricing value (25%), and versatility (20%). Scores are updated monthly based on product changes, user feedback, and competitive benchmarking across InsurTech AI tools. Read our full scoring methodology.
The top alternative to At-Bay on AI Scanner is Coalition with a score of 8.7/10. Other alternatives include Lemonade, Cytora, Root Insurance. Compare all alternatives.
At-Bay is designed for mid-market organizations. Its Pay-per-use pricing model scales with team size and usage requirements. We recommend running a pilot with your actual workflows before committing to a full deployment.
At-Bay uses a Pay-per-use pricing model. For the most accurate pricing, request a custom quote directly from the vendor. Pricing may vary based on deployment scale, feature tier, and contract length. Always factor in implementation and training costs when comparing total cost of ownership against competitors.
How We Score: AI Scanner evaluates platforms across four dimensions - Performance (30%), Usability (25%), Pricing Value (25%), and Versatility (20%). Scores are updated monthly. Read our full methodology.