DecisionMesh

DecisionMesh is an enterprise AI governance platform that sits between your teams and the AI models they use, enforcing policy before a request is ever processed. Instead of trusting each application to behave, it applies intent-based rules at runtime: it can mask sensitive data such as PII, block requests that fall outside approved use, cap spending per team or model, and route each call to the appropriate provider. Every interaction is logged to an audit trail, giving compliance and security teams a record of what was asked, what data was involved, and which model answered. It supports multiple AI models behind a single control plane, so organizations can switch or combine providers without rewriting governance logic each time. The platform is aimed at regulated industries — such as finance and healthcare — where uncontrolled AI use creates real compliance and data-exposure risk. For those teams, DecisionMesh offers a way to adopt AI across the business while keeping policy enforcement, budgets, and accountability centralized rather than scattered across individual apps.

Used by regulated enterprises to enforce AI policies, mask sensitive data, and audit every model request from one control plane.