Monitaur

• Centralised inventory of all AI and machine-learning models across the organisation
• Automated monitoring of model performance, drift, bias and outlier detection
• Pre-deployment validation and stress-testing of models for robustness
• Vendor and third-party AI tool governance and risk assessment
• Policy-to-proof workflows enabling definition of governance controls and evidence capture
• Customisable controls library mapped to regulatory frameworks and enterprise risk standards
• Collaborative workflows across business, technical and risk teams for governance roles and responsibilities
• Dashboards and reporting for transparency into model lifecycle, performance and governance status
• Integration with existing ML/Ops stacks and APIs for data ingestion and documentation automation
• Support for regulated industries (insurance, finance, healthcare) with compliance and audit ready evidence

Monitaur is an enterprise-grade AI governance platform built to help regulated organisations govern, monitor and drive transparency in their model lifecycle. It starts by enabling companies to centralise their inventory of AI and machine-learning models, whether developed in-house or sourced externally. From this foundation the platform allows users to define governance policies, map controls to regulations and implement consistent workflows across teams. With robust pre-deployment validation, continuous monitoring for model drift, bias, fairness and performance as well as vendor governance workflows, Monitaur ensures models are not only effective but trustworthy. The analytics and dashboards offer visibility into each model’s status, control coverage and risk exposure—giving executives and regulators the evidence they require. The platform integrates with existing ML/Ops infrastructures, ingestion pipelines, documentation systems and APIs so that enterprises can enforce governance without disrupting innovation. Monitaur emphasises its “policy-to-proof” approach meaning organisations can move from setting governance frameworks to capturing automated evidence of compliance, monitoring and validation. For highly regulated sectors such as insurance, finance and healthcare the tool supports tailored controls, industry standards and audit readiness. As organisations scale their AI initiatives, Monitaur’s approach helps turn governance from a barrier into a strategic enabler—enabling organisations to build, buy and deploy AI with confidence, while managing risk, meeting regulation and safeguarding brand trust.