ModelOp

ModelOp is a web-based enterprise AI lifecycle management and governance platform for large organizations that need centralized control of ML, GenAI, agentic AI, and third-party vendor AI from intake through production and retirement.

Key capabilities include:

• AI system of record (inventory): centralizes an enterprise AI portfolio across internal and third-party solutions, captures artifacts, configurations, and metadata, and supports standardized use-case intake with risk classification.
• Automation and orchestration: maps controls to processes, frameworks, and regulations; automates policy compliance and enforcement with approval workflows; generates documentation such as model cards, risk documentation, and alerts.
• Continuous controls and reporting: supports ongoing monitoring and testing for risks (including bias, drift, and performance), produces audit-ready reports, and provides portfolio insights such as usage, throughput, and ROI.
• Interoperability and deployment options: integrates with existing enterprise systems to orchestrate governance; supports on-prem or cloud deployments and offers an extensible architecture (including REST-compliant micro-services).

Pricing: Contact for Pricing.

Notable for treating governance as a control tower for all enterprise AI, including internal models, vendor AI, and AI embedded in SaaS applications, with standards-based templates aligned to frameworks such as NIST AI RMF, EU AI Act, and ISO/IEC 42001.