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- ModelOp Center
On the recordRead 4 Oct 202615 facts
ModelOp Center
Chicago, Illinois, United States
Plans and prices
ModelOp Center
Priced on request
Enterprise product; request a demo for details
Read 4 Oct 2026 · modelop.com
On the record
- Company history
- ModelOp says it was founded in 2018 to help large enterprises operationalize different types of models and enforce auditable governance.modelop.com · read 4 Oct 2026
- Data handling
- The company says ModelOp references data in place without copying, extracting, or transferring it.modelop.com · read 4 Oct 2026
- 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.modelop.com · read 4 Oct 2026
- Extensibility
- ModelOp provides a REST-compliant microservices architecture and APIs for extending and embedding it into enterprise workflows.modelop.com · read 4 Oct 2026
- 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.modelop.com · read 4 Oct 2026
- Identity and access
- ModelOp supports enterprise identity providers using OAuth2, SAML, and other authentication standards for role-based access.modelop.com · read 4 Oct 2026
- Integrations
- Listed integrations include AWS, Azure, Google Cloud, OpenAI, MLflow, ServiceNow, Jira, Databricks, Snowflake, Power BI, and Tableau.modelop.com · read 4 Oct 2026
- Intended users
- The company describes the product for enterprise AI, technology, governance, risk, legal, and compliance teams.modelop.com · read 4 Oct 2026
- Monitoring and costs
- The platform monitors AI systems for bias, drift, performance, and cost, with visibility into token use and throughput.modelop.com · read 4 Oct 2026
- Policy controls
- ModelOp applies risk-based controls and can enforce policy at delivery time and through AI gateways on live traffic.modelop.com · read 4 Oct 2026
- Purpose
- ModelOp Center provides enterprise AI lifecycle management and governance for ML, GenAI, agentic, and third-party AI.modelop.com · read 4 Oct 2026
- System of record
- The platform maintains a searchable inventory of AI solutions, including ownership, metadata, and lifecycle information.modelop.com · read 4 Oct 2026
- Version and documentation
- The integrations page links to ModelOp Center 3.3 documentation and release notes.modelop.com · read 4 Oct 2026
- Workflow automation
- Role-based workflows coordinate AI intake, risk assessment, reviews, approvals, monitoring, and retirement.modelop.com · read 4 Oct 2026
