The Enterprise AI Command Center for Public Sector AI Delivery
ModelOp is an AI Delivery Platform for enterprise AI leaders: an Enterprise AI Command Center for CIOs, CTOs and AI governance leaders used by the most complex and regulated institutions in the world. ModelOp’s AI system of record unifies all AI assets, powers workflows, enforces governance and generates operational intelligence in one operating layer to industrialize the delivery of ML, GenAI, Agentic AI and vendor AI.
ModelOp is interoperable and sits above existing AI tech stacks, MLOps, GRC, ITSM, security and data management systems, connecting and extending those investments. It enables organizations to accelerate AI from idea to production and deliver AI rapidly, safely and profitably.
Public Sector AI programs rarely stall for lack of ideas. They stall in the handoffs between agency teams, security, privacy, legal and procurement. ModelOp gives Federal, State and Local agencies, Defense organizations and publicly funded university health systems one authoritative system of record of every AI use-case and the workflows that carry it to production under risk-proportional controls.
One system of record across many teams: Each AI use case is tied to the assets beneath it: models, agents, MCP tools, datasets, prompts, source code and documentation. ModelOp manages and governs all AI including traditional models, ML, GenAI, Agentic and Vendor AI and SaaS. ModelOp is purpose-built for heterogeneous AI and vendor-, cloud and model-agnostic so teams have the freedom of choice to use their preferred AI platforms and solutions, reducing vendor lock-in. Multi-entity/federated structures are supported via configurable organization, category and group constructs, so a CIO, CAIO or central governance function can set standards for individual agencies and oversee the full AI estate while individual units manage their own use cases.
Audit-ready by default: Approvals, exceptions, test results and control mappings are captured as they happen and model cards, risk assessments and validation summaries generate automatically. An audit service tracks every change and versioned point-in-time snapshots let an auditor reconstruct which policy applied to which AI system on which date. Governance records live in the agency's own databases, so retention and legal hold follow agency schedules.
Policy compliance and governance mapped to your rules: Framework packs align controls to NIST AI RMF, ISO/IEC 42001, the EU AI Act, SR 11-7 (26-2), HIPPA and state AI regulations including the Colorado AI Act and TRAIGA.
Governance built for AI agents: ModelOp governs agents, the MCP tools they call and their orchestrators as first-class assets, with metadata ingested over MCP and A2A. Authorization boundaries are approved and recorded in ModelOp, then enforced inline at the organization’s AI gateway. Framework coverage includes Singapore's IMDA Model AI Governance Framework for Agentic AI. ModelOp was named a Visionary in the 2026 Gartner® Magic Quadrant™ for AI Governance Platforms and scored the highest among all vendors in AI Agent Governance.
Deployed and procured on your terms. ModelOp Center runs on-premises or in an organization’s private cloud, in any region. It references data in place and moves no data so residency and sovereignty stay under agency control. ModelOp is Soc 2 Type II certified.
Disclaimer:
Gartner, Magic Quadrant for AI Governance Platforms, Lauren Kornutick, Sumit Agarwal, Priya Sundararaman, Nader Henein, Brandon Medford, June 2026.
Gartner, Critical Capabilities for AI Governance Platforms, Lauren Kornutick, Sumit Agarwal, Priya Sundararaman, Nader Henein, Brandon Medford, June 2026.
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