modelop.com

modelop-com

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modelop.com
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The AI Portfolio Explosion: When Activity Creates the Illusion of AI Value2026 AI Governance Benchmark ReportDownload the ReportAI Lifecycle Management & Governance
Purpose-Built FOR EnterprisesModelOp 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.Request a Demo Trusted by Industry LeadersUsed by the most complex & regulated institutions in the worldEnterprises are racing to deploy GenAI and Agents, but without enterprise-wide control, you’re scaling risk—not innovation.The Control Tower forAll Enterprise AIEstablish 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 PlatformModelOp empowers responsible AI leaders to deliver AI innovation with speed, scale, and trust by design.Single AI System of RecordEstablish visibility into all AI—ML, GenAI, AgentsCentralize your entire AI inventory—internal and third-partyStandardize use case intakeAutomatically classify & tier riskCapture solution code, artifacts, configurations, & metadataTrack data usage & collect evidence across the AI lifecycleRead moreAutomation & OrchestrationGet AI into production faster with enforceable policies that scaleMap controls to processes, frameworks, & regulationsAutomate policy compliance & enforcementSpeed up reviews & tests with approval workflowsGenerate model cards, risk documentation, & alertsStreamline AI risk management across teams & locationsRead moreContinuous Control & InsightControl costs, manage risks, & drive enterprise valueFacilitate collaboration with self-service, role-based workflowsMonitor AI & test for risks—bias, drift, performance, & moreStay audit-ready with defensible, regulator-grade reportsMeasure usage, throughput, & ROI across teamsPrioritize AI by value & enable informed executive decisionsRead moreStandards-Based, Extensible ArchitectureMake AI governance adoption easy across the enterpriseDeploy in enterprise environments—on-prem or in the cloudNo data movement ensures security & policy complianceEnterprise-grade interoperability with existing systemsExtend capabilities with REST-compliant micro-servicesCompatible with identity & authentication systemsRead more“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 FinancialWatch the Customer Story Collaboration across teams, business units, & geographiesBenefits to Cross-Functional TeamsResponsible AI Leaders & AI Governance CommitteesDeliver scale & trust by designC-Suite & AI CoE Leaders Visibility for strategic decisionsIT, Architecture, & OperationsAutomate & scale lifecycle operationsLine of Business Owners & ProcurementAssurance & AccountabilityModel Owners & Data ScientistsFaster path to production and documentationControl PartnersContinuous control of all AIResponsible AI Leaders & AI Governance CommitteesDeliver scale and trust by designEnd-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 LeadersVisibility for strategic decisionsGain 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, & OperationsAutomate & scale lifecycle operationsAutomate 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 OwnersAssurance & AccountabilityProvide 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 ScientistsFaster path to production and documentationAccelerate approvals and reduce time-to-productionSubmit 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 PartnersContinuous control of all AIEnforce 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 CommitteesDeliver scale and trust by designEnd-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 LeadersVisibility for strategic decisionsGain 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, & OperationsAutomate & scale lifecycle operationsAutomate 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 OwnersAssurance & AccountabilityProvide 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 ScientistsFaster path to production and documentationAccelerate approvals and reduce time-to-productionSubmit 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 PartnersContinuous control of all AIEnforce 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 teamsIdentify and mitigate third-party risks and AI vulnerabilities.Dynamically manage changes to policy and update processes.
ModelOp Customer stories and ai governance insightsModelOp Customers Effectively Enable AI Governance that Accelerates InnovationReport2025 AI Governance Benchmark ReportRead moreCase StudyGartner Report: Fidelity’s AI Model Operations at Scale
(Gartner License Paywall)Read moreModelop is DIFFERENTThe Only AI Lifecycle Management & Governance Platform Purpose-Built for Enterprises01ComprehensiveManages all AI types—ML, GenAI, Agentic AI, internal, third-party vendor, and embedded AI in SaaS.02Proven at Enterprise-ScaleAdopted 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.03Interoperable & AgnosticIntegrates 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.04Automation-FirstAutomates workflows for lifecycle processes, enforces policy compliance, and unites cross-functional teams with continuous, self-service governance that accelerates AI time-to-market.05Fast to Deploy & Easy to UseEnterprise-ready, secure-deployment with self-service, role-based experience and scalable adoption.Start nowVisibility, policy enforcement, control. All from a single platform.Enable responsible AI innovation so you can bring AI to market, fasterRequest a Demo --- how it worksThe Control Tower for All Enterprise AISee every AI solution, control every risk, prove every result. ModelOp automates end-to-end AI lifecycle management and governance for visibility into all internal and vendor AI, faster time-to-market with trust by design, and continuous control over costs and usage.Request a DemoHow ModelOp Streamlines Each Step in the AI lifecycleModelOp provides self-service governance with role-based workflows that
automate every step of the end-to-end AI lifecycle by integrating with and orchestrating your enterprise’s many processes and systems related to AI innovation and governance so you can bring AI to market faster.01Submit a New AI Use CaseStandardize AI use case intake and registrationInitiate the end-to-end AI lifecycle recordAutomatically ensure business, risk, and portfolio reviews are conducted02Assess Risk of Use Case Based on PolicyCodify risk assessments for every AI use caseAuto-generate the risk tier for each use caseAuto-generate initial controls based on risk03Implement the AI SolutionTrack and manage the vendor or internal solution detailsSubmit candidate AI solution through approval workflows to enforce reviews and policiesEnsure the solution submission is verified and documented04Conduct TestingContinuosly run automated tests such as bias, drift, performance, and moreContinuously track risks and collect evidence to stay audit-readyAutomatically generate documentation and model cards05Review & DeployQuickly request independent reviewsAutomaticially trigger notifications and alertsConsistenly enforce policies for approving production deploymentTrack and manage production deployments06Continuously Monitor & ReviewMonitor all use cases in production from a single system of recordEasily conduct regular reviewsQuickly perform annual attestationsAutomatically update policies and processesmodelop introductory demoSee How ModelOp Brings AI to Market Faster and at ScaleThis 6-minute introductory demo shows how ModelOp’s AI lifecycle management and governance platform establishes visibility into all AI, gets AI into production faster with enforceable policies, controls costs, and integrates with existing enterprise systems to orchestrate governance.Transform responsible aiOperationalize AI Lifecycle Management and GovernanceModelOp provides the technical and operational backbone to implement responsible AI and balance its costs, risks, and value.Without ModelOpWith ModelOpFragmented and invisible AILeaders don’t know what AI is being used, where it’s being used, who’s using it, and what the risks are.Single AI system of recordFull visibility into the usage and risk of all AI across the enterprise from a single source of truth.Siloed teams and manual processesManual operations across dozens of teams, systems,  processes delay AI solutions by months or more.Interoperability and orchestrationUnited collaboration, integrated systems, and continuous governance that accelerate AI time-to-market.Inconsistent policy enforcementPolicies are inconsistently applied and enforced across different teams, business units, and geographies.Automatic, consistent enforcement100% assurance that all policies—internal and regulatory—are enforced across the entire enterprise.No cost, value, or risk trackingLimited ability to track the cost, benefits, and risks of AI use cases and align them to business objectives.Continuous insightsAutomated tracking and reporting on KPIs to identify bottlenecks, measure ROI, and inform business decisions.FAQs about ModelOp and AI Lifecycle Management & Governance1.What is AI Lifecycle Management?2.Why is it important to manage AI as a portfolio of investments?3.How is ModelOp different from AI Development and MLOps tools?4.How is ModelOp different from Data Management and Data Governance platforms?5.How is ModelOp different from Governance, Risk, and Control (GRC) platforms?6.How is ModelOp different from IT Service Management (ITSM) systems?7.How is ModelOp different from AI Observability platforms?8.How is ModelOp different from IBM watsonx.governnace?9.How is ModelOp different from ServiceNow?10.How is ModelOp different from Databricks?11.How is ModelOp different from Collibra?12.How is ModelOp different from Credo.ai?ModelOp PlatformAI Lifecycle Management & Governance 
for All of Your Enterprise AIAI System of RecordEstablish visibility into all AI—ML, GenAI, AgentsLearn moreAutomationGet AI into production faster with enforceable policies that scaleLearn moreInsightsControl costs, manage risks, & drive enterprise valueLearn moreInteroperabilityMake AI governance adoption easy across the enterpriseLearn more --- The AI Portfolio Explosion: When Activity Creates the Illusion of AI Value2026 AI Governance Benchmark ReportDownload the Reportcomplete visibility and control for every AI solutionThe AI System 
of RecordModelOp provides an auditable, single source of truth that continuously inventories, manages, and tracks all AI use cases and assets—spanning ML, GenAI, Agentic AI, internal, and third-party vendor—across teams, business units, geographies, and technologies so responsible AI leaders can finally see what exists, understand the risks, and enforce governance at scale. With a unified inventory, automated risk tiering, lifecycle tracking, and deep interoperability, ModelOp ensures every AI system is discoverable, accountable, and compliant from intake to retirement.Get a DemoVisibilityKey CapabilitiesCentralize your entire AI inventory—1st and 3rd-partyStandardize use case intakeAutomatically classify & tier riskCapture solution code, artifacts, configurations, & metadataTrack data usage & collect evidence across the AI lifecycleCentralize your entire AI inventory—1st and 3rd-partyModelOp provides a dynamic, searchable registry of every AI solution across your organization—including ML models, GenAI, agents and Agentic systems, vendor tools, and embedded AI in SaaS—so you always know what exists and who owns it. This enterprise-wide visibility eliminates shadow AI, reduces redundancy, and creates a defensible system of record for audits and regulators.Standardize use case intakeStreamline how AI enters the organization with a consistent, policy-aligned intake process that routes every request through the right stakeholders. ModelOp ensures AI initiatives begin with clarity—purpose, data, risks, controls—so governance never starts behind the curve.Automatically classify & tier riskApply automated, rules-based risk assessments that align with your policies and regulatory frameworks. ModelOp instantly identifies high-risk, high-impact AI that requires deeper oversight, enabling leaders to prioritize resources and stay ahead of compliance deadlines.Capture solution code, artifacts, configurations, & metadataDocument every AI system end-to-end—code, prompts, agent cards, configurations, dependencies, and lineage—all in one place for complete traceability. ModelOp ensures your AI is fully transparent, reviewable, and ready for internal governance, audits, or external regulators.Track data usage & collect evidence across the AI lifecycleAutomatically map data usage and collect the evidence you need for continuous compliance, including testing results, validations, controls, sign-offs, and post-deployment reviews. ModelOp keeps your organization audit-ready with zero manual effort.modelop introductory demoSee How ModelOp Establishes Visibility Into All Your Enterprise AIThis 3-minute introductory demo shows how ModelOp’s AI System of Record delivers real-time visibility, automated governance, and complete lifecycle oversight across every AI system in your enterprise. ModelOp Center Documentation and Release NotesExplore the newest version of ModelOp CenterOverview VideoModelOp Center3.3Learn moreDocumentationModelOp Center3.3Learn moreRelease notesModelOp Center3.3Learn moreStart nowVisibility, policy enforcement, control. All from a single platform.Enable responsible AI innovation so you can bring AI to market, fasterRequest a Demo --- The AI Portfolio Explosion: When Activity Creates the Illusion of AI Value2026 AI Governance Benchmark ReportDownload the ReportEnforceable AI Governance That ScalesAutomation & OrchestrationModelOp automates the AI lifecycle with policy-driven workflows that ensure every AI solution—ML, GenAI, Agentic, internal, or third-party—follows the right process from intake through retirement. By mapping controls to internal policies and laws, regulations, and rules; orchestrating cross-functional reviews and approvals; and generating audit-ready documentation automatically, ModelOp helps responsible AI leaders accelerate time-to-production while maintaining continuous compliance and trust.Get a DemoAcceleration & enforcementKey CapabilitiesMap controls to processes, frameworks, & regulationsAutomate policy compliance & enforcementSpeed up reviews & tests with approval workflowsGenerate model cards, risk documentation, & alertsStreamline AI risk management across teams & locationsMap controls to processes, frameworks, & regulationsModelOp automatically aligns each AI use case with the right controls based on your internal policies and global regulations like the EU AI Act, NIST AI RMF, OCC SR 11-7, ISO 42001, HIPAA, and GDPR. This ensures every AI system is governed consistently, with the right requirements applied based on risk tier, geography, model type, and whether the system is LLM-based, MCP-enabled, or Agentic.Automate policy compliance & enforcementEnforce your governance rules automatically with risk-based workflows that validate controls, trigger required reviews, and block non-compliant actions. ModelOp ensures policies are applied consistently—across geographies, business units, and technologies—so you can deploy AI faster without sacrificing safety or accountability. 

For Agentic systems, ModelOp adds inline protections to detect and immediately block prompt injection attempts, PII leakage, unsafe tool use, or misaligned agent behavior—ensuring all AI activity remains safe, secure, and compliant. Network-level blocking prevents any unapproved agent traffic, ensuring all AI activity is traceable, governed, and fiscally accountable.Speed up reviews & tests with approval workflowsAccelerate cross-functional reviews by orchestrating Security, Privacy, Data, IT, Architecture, Business, Legal, Risk, Compliance, Committee, and CoE approvals in a single, traceable workflow. Automated testing, alerts, and SLA tracking reduce bottlenecks—cutting review cycles from weeks to days while improving rigor and auditability across all model types, including LLMs and MCP/A2A agents.Generate model cards, risk documentation, & alertsModelOp automatically creates standardized model cards, risk assessments, validation summaries, test results, and audit artifacts, reducing manual documentation work by orders of magnitude. Real-time notifications keep owners and reviewers informed of required actions, upcoming deadlines, and compliance gaps.Streamline AI risk management across teams & locationsWith risk-tiering, control mapping, evidence collection, and lifecycle orchestration in one platform, ModelOp unifies AI governance across business units and regions. Every stakeholder—AI owners, control partners, IT, and governance committees—works from the same source of truth, ensuring consistent and repeatable risk management everywhere AI is deployed.modelop introductory demoSee How ModelOp Enforces Compliance And Gets AI Into Production, FasterThis 5-minute introductory demo shows how ModelOp automates the entire AI lifecycle with enforceable, policy-driven workflows that bring speed, consistency, and compliance to every AI use case across your enterprise. ModelOp Center Documentation and Release NotesExplore the newest version of ModelOp CenterOverview VideoModelOp Center3.3Learn moreDocumentationModelOp Center3.3Learn moreRelease notesModelOp Center3.3Learn moreStart nowVisibility, policy enforcement, control. All from a single platform.Enable responsible AI innovation so you can bring AI to market, fasterRequest a Demo