List of ModelOp Customers
Chicago, 60606, IL,
United States
Since 2010, our global team of researchers has been studying ModelOp customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased ModelOp for AI Guardrails from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using ModelOp for AI Guardrails include: Bristol Myers Squibb, a United States based Life Sciences organisation with 34100 employees and revenues of $48.30 billion, Fidelity, a United States based Banking and Financial Services organisation with 78000 employees and revenues of $18.20 billion, FINRA, a United States based Professional Services organisation with 3600 employees and revenues of $1.11 billion and many others.
Contact us if you need a completed and verified list of companies using ModelOp, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Bristol Myers Squibb | Life Sciences | 34100 | $48.3B | United States | ModelOp | ModelOp | AI Guardrails | 2024 | n/a |
In 2024, Bristol Myers Squibb implemented ModelOp to inventory, monitor, and govern AI/ML models across R&D and business processes in the United States. The ModelOp deployment is in the AI Guardrails category and targets research, pharmacovigilance, and finance process areas to maintain compliance and accelerate model deployment.
Bristol Myers Squibb configured ModelOp's AI lifecycle and governance modules to establish a centralized model inventory, continuous monitoring workflows, and enforcement of governance controls. Configuration work emphasized automated lifecycle orchestration for model versioning, promotion workflows, and audit-ready documentation to support regulated research and pharmacovigilance use cases.
The public disclosure did not list specific system integrations, so named integrations are not described. Operational coverage is explicitly United States focused, spanning R&D, pharmacovigilance, and finance functions, with the platform scoped to support both model operations and business process automation related to AI initiatives.
Governance and process restructuring centered on centralized model oversight, standardized governance controls, and operational workflows to speed validated model deployment. The company reported outcomes of improved governance and faster time-to-market for AI initiatives, and the implementation is positioned to maintain compliance while accelerating model-driven workflows.
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Fidelity | Banking and Financial Services | 78000 | $18.2B | United States | ModelOp | ModelOp | AI Guardrails | 2021 | n/a |
In 2021, Fidelity implemented ModelOp to scale AI model operations and automate governance and monitoring for hundreds of production models. The deployment targeted finance and compliance teams in the United States, with an explicit focus on operationalizing models in production under centralized controls.
Implementation centered on ModelOp's AI lifecycle automation and governance capabilities, leveraging automated model monitoring and policy enforcement workflows to manage model registration, validation, and ongoing compliance controls. The engagement used ModelOp as an AI Guardrails solution to codify policies and instrument continuous oversight across model workflows.
ModelOp operated as a platform layer providing lifecycle orchestration and auditability for production models within Fidelity's finance and compliance functions, producing consistent monitoring records and alerting for model drift and policy deviations. The operational scope covered hundreds of production models and prioritized standardized governance for risk and compliance reviewers.
Governance and process changes embedded automated policy enforcement into model pipelines and introduced centralized monitoring and reporting for compliance stakeholders. The engagement delivered faster time-to-production and improved oversight as described in the case study, while preserving a focus on model lifecycle automation and enforceable policy controls.
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FINRA | Professional Services | 3600 | $1.1B | United States | ModelOp | ModelOp | AI Guardrails | 2023 | n/a |
In 2023, FINRA implemented ModelOp to provide enterprise-wide AI governance and oversight for regulatory analytics and model risk in the United States. The deployment uses ModelOp within the AI Guardrails category to target risk and compliance process areas, with the engagement explicitly aimed at enforcing policies and gaining portfolio visibility as stated in vendor announcements.
Configuration and module usage are described according to AI Guardrails capabilities and inferred from ModelOp press releases listing FINRA as a customer. Implementation signals indicate use of a centralized model inventory and catalog, policy enforcement engines, monitoring and performance controls, and lineage and audit trail capabilities to support model risk management and regulatory analytics workflows.
Operational coverage is focused on risk and compliance functions across FINRA’s United States operations, providing a single governance plane for models used in regulatory analytics and oversight. The ModelOp implementation is positioned to integrate with existing regulatory analytics pipelines and model risk processes to surface portfolio-level visibility and control without naming specific downstream systems.
Governance and workflow restructuring emphasize centralized policy definition, approval workflows, and audit logging to enforce compliance controls across the model lifecycle. The stated outcomes for the engagement are enforcement of policies and improved portfolio visibility as part of FINRA’s model governance and oversight program.
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