AI Lifecycle Management & Governance
Purpose-Built FOR Enterprises
ModelOp provides a centralized AI system of record, automation from intake to retirement, and enforceable policies—helping enterprises bring ML, GenAI, Agentic AI, and vendor AI solutions into production 10X faster.
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Trusted by Industry Leaders
Used by the most complex & regulated institutions in the world
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Enterprises are racing to deploy GenAI and Agents, but without enterprise-wide control, you’re scaling risk—not innovation.
The Control Tower for
All Enterprise AI
Establish visibility into all AI—internal and third-party.
Get AI into production faster with enforceable policies.
Control costs, be audit-ready, and deliver insights.
Integrate with existing systems to orchestrate governance.
Start quickly with templates for NIST, EU AI Act, ISO 42001.
The Leading AI Lifecycle Management & Governance Platform
ModelOp empowers responsible AI leaders to deliver AI innovation with speed, scale, and trust by design.
Single AI System of Record
Establish visibility into all AI—ML, GenAI, Agents
Centralize your entire AI inventory—internal and third-party
Standardize use case intake
Automatically classify & tier risk
Capture solution code, artifacts, configurations, & metadata
Track data usage & collect evidence across the AI lifecycle
Automation & Orchestration
Get AI into production faster with enforceable policies that scale
Map controls to processes, frameworks, & regulations
Automate policy compliance & enforcement
Speed up reviews & tests with approval workflows
Generate model cards, risk documentation, & alerts
Streamline AI risk management across teams & locations
Continuous Control & Insight
Control costs, manage risks, & drive enterprise value
Facilitate collaboration with self-service, role-based workflows
Monitor AI & test for risks—bias, drift, performance, & more
Stay audit-ready with defensible, regulator-grade reports
Measure usage, throughput, & ROI across teams
Prioritize AI by value & enable informed executive decisions
Standards-Based, Extensible Architecture
Make AI governance adoption easy across the enterprise
Deploy in enterprise environments—on-prem or in the cloud
No data movement ensures security & policy compliance
Enterprise-grade interoperability with existing systems
Extend capabilities with REST-compliant micro-services
Compatible with identity & authentication systems
“We wanted to codify and automate our risk rating process. So we deployed it into ModelOp.
That cut down a two week process to less than one day.”
VP of Global Responsible AI
Prudential Financial
Watch the Customer Story
Collaboration across teams, business units, & geographies
Benefits to Cross-Functional Teams
Responsible AI Leaders & AI Governance Committees
Deliver scale and trust by design
End-to-end lifecycle management enables Responsible AI leaders to scale innovation, enforce policy, and facilitate enterprise-wide collaboration that brings AI to market faster.
- Ensure every AI system drives enterprise value while enforcing policy and regulatory boundaries.
- Orchestrate the AI lifecycle and enforce governance across all AI systems, tools, and teams to enable consistent, enterprise-wide innovation.
- Gain real-time visibility into both risks and business impact across the AI portfolio.
- Confidently map controls, surface risks, and accelerate approvals to capture opportunities faster.
C-Suite & AI CoE Leaders
Visibility for strategic decisions
Gain visibility and confidence that AI initiatives deliver business value while mitigating risk.
- Track AI use cases, throughput, risk posture, and ROI at scale.
- Make informed decisions on where to invest, scale, or retire AI initiatives.
- Align enterprise AI investments with business strategy and risk tolerance.
- Accelerate innovation without sacrificing trust or compliance.
IT, Architecture, & Operations
Automate & scale lifecycle operations
Automate model operations, enforce governance workflows, integrate controls, and scale AI safely.
- Streamline onboarding, risk tiering, workflows, and monitoring through automation.
- Integrate governance seamlessly into enterprise systems (AI dev/execution, Data Platforms, MLOps, GRC, IT, etc.).
- Ensure GenAI and third-party vendor solutions align with security, privacy, data, and operational requirements.
- Scale AI efficiently across the enterprise.
Line of Business Owners
Assurance & Accountability
Provide assurance that AI initiatives in their domain align with enterprise policies and deliver value responsibly.
- Approve AI use cases with confidence that policies are enforced.
- View and manage their business unit’s AI portfolio in one place.
- Demonstrate compliance and responsible AI practices to regulators and executives.
- Enable business innovation while mitigating reputational and operational risks.
Model Owners & Data Scientists
Faster path to production and documentation
Accelerate approvals and reduce time-to-production
- Submit and track AI use cases with streamlined workflows.
- Capture evidence, metadata, model details, and test results to satisfy controls quickly.
- Configure monitoring and generate model cards automatically.
- Move models from development to production faster with fewer delays.
Control Partners
Continuous control of all AI
Enforce compliance, protect sensitive data, and ensure secure AI operations.
- Enforce regulatory, cybersecurity, data protection, and privacy controls.
- Prove compliance with defensible audit trail for regulators, boards, and internal assurance teams.
- Identify and mitigate third-party risks and AI vulnerabilities.
- Dynamically manage changes to policy and update processes.
Responsible AI Leaders & AI Governance Committees
Deliver scale and trust by design
End-to-end lifecycle management enables Responsible AI leaders to scale innovation, enforce policy, and facilitate enterprise-wide collaboration that brings AI to market faster.
- Ensure every AI system drives enterprise value while enforcing policy and regulatory boundaries.
- Orchestrate the AI lifecycle and enforce governance across all AI systems, tools, and teams to enable consistent, enterprise-wide innovation.
- Gain real-time visibility into both risks and business impact across the AI portfolio.
- Confidently map controls, surface risks, and accelerate approvals to capture opportunities faster.
C-Suite & AI CoE Leaders
Visibility for strategic decisions
Gain visibility and confidence that AI initiatives deliver business value while mitigating risk.
- Track AI use cases, throughput, risk posture, and ROI at scale.
- Make informed decisions on where to invest, scale, or retire AI initiatives.
- Align enterprise AI investments with business strategy and risk tolerance.
- Accelerate innovation without sacrificing trust or compliance.
IT, Architecture, & Operations
Automate & scale lifecycle operations
Automate model operations, enforce governance workflows, integrate controls, and scale AI safely.
- Streamline onboarding, risk tiering, workflows, and monitoring through automation.
- Integrate governance seamlessly into enterprise systems (AI dev/execution, Data Platforms, MLOps, GRC, IT, etc.).
- Ensure GenAI and third-party vendor solutions align with security, privacy data, and operational requirements.
- Scale AI efficiently across the enterprise.
Line of Business Owners
Assurance & Accountability
Provide assurance that AI initiatives in their domain align with enterprise policies and deliver value responsibly.
- Approve AI use cases with confidence that policies are enforced.
- View and manage their business unit’s AI portfolio in one place.
- Demonstrate compliance and responsible AI practices to regulators and executives.
- Enable business innovation while mitigating reputational and operational risks.
Model Owners & Data Scientists
Faster path to production and documentation
Accelerate approvals and reduce time-to-production
- Submit and track AI use cases with streamlined workflows.
- Capture evidence, metadata, model details, and test results to satisfy controls quickly.
- Configure monitoring and generate model cards automatically.
- Move models from development to production faster with fewer delays.
Control Partners
Continuous control of all AI
Enforce compliance, protect sensitive data, and ensure secure AI operations.
- Enforce regulatory, cybersecurity, data protection, and privacy controls.
- Prove compliance with defensible audit trail for regulators, boards, and internal assurance teams
- Identify and mitigate third-party risks and AI vulnerabilities.
- Dynamically manage changes to policy and update processes.
ModelOp Customer stories and ai governance insights
ModelOp Customers Effectively Enable AI Governance that Accelerates Innovation
Modelop is DIFFERENT
The Only AI Lifecycle Management & Governance Platform Purpose-Built for Enterprises
01
Comprehensive
Manages all AI types—ML, GenAI, Agentic AI, internal, third-party vendor, and embedded AI in SaaS.
02
Proven at Enterprise-Scale
Adopted by complex organizations with fragmented, heterogeneous AI environments, a high-volume of use cases, and global regulatory demands—OCC SR 11-7, EU AI Act, NIST AI RMF, ISO 42001, Texas HB 2060, and more.
03
Interoperable & Agnostic
Integrates with and orchestrates workflows across data, risk, security, IT, GRC, and AI tools—extending existing investments and enabling innovation freedom without costly rip-and-replace trade-offs.
04
Automation-First
Automates workflows for lifecycle processes, enforces policy compliance, and unites cross-functional teams with continuous, self-service governance that accelerates AI time-to-market.
05
Fast to Deploy & Easy to Use
Enterprise-ready, secure-deployment with self-service, role-based experience and scalable adoption.
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Visibility, policy enforcement, control. All from a single platform.
Enable responsible AI innovation so you can bring AI to market, faster
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