90% of AI deployments remain internal—supporting secondary use cases and in sandbox environments. Without comprehensive oversight, businesses lack the transparency needed to scale AI effectively, optimize performance, and drive value. As AI systems evolve across distributed environments, organizations struggle to track where and how algorithms operate, leading to inefficiencies, increased risk, and a lack of strategic alignment. A fragmented approach to AI management leaves enterprises reactive rather than proactive, limiting their ability to harness AI’s full potential.

Our platform utilises patented technology to deliver enterprise-wide visibility by interrogating technology endpoints, identifying deployed algorithms, and classifying their risk profile. It continuously analyzes your technology estate, tracking algorithm usage and mapping the organisational footprint to ensure full oversight and control. 

We ingest both external regulations and internal policies, aligning them with AI use cases to provide a clear set of operational requirements. By transforming AI governance from a policy-based approach to an integrated framework of accountability and strategic control, we empowerr businesses to operate AI with confidence.