AI Score

AI Score is an enterprise AI-governance platform designed to connect an organization’s policies and objectives to observed AI activity. Its current platform surface describes an API-first private-cloud SaaS layer that inventories AI assets, analyzes usage and context, maps evidence to frameworks including the EU AI Act, ISO and NIST, and adds controls around enterprise platforms, cloud applications and managed or self-hosted agents. It also describes edge, model and agent gateways for extending visibility and control. These are current vendor-described capabilities rather than independently tested outcomes. ¹

Access is enterprise and sales-led. The public site routes buyers to a tailored demo or direct conversation rather than publishing a numeric subscription price or self-service purchase flow, and no public free tier is presented. Deployment is described as private-cloud SaaS and API-driven, with the vendor claiming that an initial integration can start producing visibility quickly. Without public pricing or independent deployment data, total cost and time-to-value cannot be validated from the public evidence. ¹²

AI Score publishes a comparatively detailed privacy and security notice. It identifies AISCORE Limited as the controller, describes Microsoft Azure infrastructure with AWS used when a customer opts for an AWS deployment, supports identity-provider integration such as Okta and Microsoft Entra ID, and states that platform traffic uses TLS 1.2 or newer, customer-specific encryption keys and single-tenant isolated environments. The notice also describes continuous monitoring and independent third-party penetration testing. These disclosures improve transparency, but they are not equivalent to a public certification report or independent product-security assessment. No substantive independent exact-product review, benchmark or user-rating corpus was found in the current evidence base. Independent funding coverage corroborates the company and its $5.4 million seed round, not product efficacy. ³⁴⁵

AI Score is aimed at enterprises that already have a distributed AI estate and need governance, risk, security and executive teams to work from a shared operational view. It is most relevant where organizations need inventory, policy-to-activity mapping, audit trails, agent oversight and evidence collection across multiple platforms rather than another standalone AI assistant. Smaller teams seeking transparent self-service pricing, a lightweight point solution or independently benchmarked performance have less evidence on which to make a quick purchase decision. ¹²