ModelOp Center

Spec sheet

Purpose

ModelOp Center provides enterprise AI lifecycle management and governance for ML, GenAI, agentic, and third-party AI.Read 4 Oct 2026 · modelop.com

Intended users

The company describes the product for enterprise AI, technology, governance, risk, legal, and compliance teams.Read 4 Oct 2026 · modelop.com

Deployment

ModelOp installs in an organization's environment on-premises, in private or public cloud, or in a hybrid setup; the Command Center page says it is not a public SaaS solution.Read 4 Oct 2026 · modelop.com

Integrations

Listed integrations include AWS, Azure, Google Cloud, OpenAI, MLflow, ServiceNow, Jira, Databricks, Snowflake, Power BI, and Tableau.Read 4 Oct 2026 · modelop.com

Headquarters

Chicago, Illinois, United StatesRead 28 Sep 2026 · modelop.com

Company history

ModelOp says it was founded in 2018 to help large enterprises operationalize different types of models and enforce auditable governance.Read 4 Oct 2026 · modelop.com

Data handling

The company says ModelOp references data in place without copying, extracting, or transferring it.Read 4 Oct 2026 · modelop.com

Extensibility

ModelOp provides a REST-compliant microservices architecture and APIs for extending and embedding it into enterprise workflows.Read 4 Oct 2026 · modelop.com

Frameworks

The Command Center page lists support for policies mapped to the EU AI Act, NIST AI RMF, OCC SR 11-7, and ISO 42001.Read 4 Oct 2026 · modelop.com

Identity and access

ModelOp supports enterprise identity providers using OAuth2, SAML, and other authentication standards for role-based access.Read 4 Oct 2026 · modelop.com

Monitoring and costs

The platform monitors AI systems for bias, drift, performance, and cost, with visibility into token use and throughput.Read 4 Oct 2026 · modelop.com

Policy controls

ModelOp applies risk-based controls and can enforce policy at delivery time and through AI gateways on live traffic.Read 4 Oct 2026 · modelop.com

System of record

The platform maintains a searchable inventory of AI solutions, including ownership, metadata, and lifecycle information.Read 4 Oct 2026 · modelop.com

Version and documentation

The integrations page links to ModelOp Center 3.3 documentation and release notes.Read 4 Oct 2026 · modelop.com

Workflow automation

Role-based workflows coordinate AI intake, risk assessment, reviews, approvals, monitoring, and retirement.Read 4 Oct 2026 · modelop.com

Plans and prices

Every ModelOp Center plan and price →

Where Specifiction places it

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