- Enterprise AI Leaders: Manage and scale AI operations across multiple business units with compliance assurance.
- Data Scientists & Model Owners: Deploy, validate, and monitor models efficiently within automated governance workflows.
- Risk & Compliance Teams: Enforce policies, track audit trails, and mitigate exposure through automated control checks.
- Executives & Decision Makers: Gain visibility into AI portfolio performance, ROI, and risk through unified dashboards.
- IT & Engineering Teams: Integrate ModelOp seamlessly with existing tools and infrastructure for end-to-end AI orchestration.
How to Use ModelOp?
- Set Up Model Inventory: Catalog and classify all AI, ML, and vendor-provided models in a unified repository.
- Automate Governance Workflows: Define business and compliance rules that apply automatically to each stage.
- Monitor Performance & Risk: Use built-in reporting to track performance, bias, drift, and compliance status.
- Optimize & Scale: Leverage integrations and automation for continuous validation, retraining, and scalability.
- AI Governance Score: The first standardized metric to evaluate AI risk and compliance across models.
- Agentic AI Governance: Purpose-built tools for managing LLMs and autonomous systems.
- Comprehensive Model Inventory: A central record for all AI models, including in-house and third-party sources.
- Rapid Onboarding: Deploy ModelOp Center with prebuilt templates and 50+ system integrations in under 90 days.
- Cross-Functional Unification: Bridges business, data, IT, and compliance teams under one governance framework.
- Centralized governance for the entire model lifecycle.
- Supports all model types, including GenAI and Agentic AI.
- Automated compliance processes reduce manual oversight.
- Provides real-time transparency and performance insights.
- Enterprise-level complexity may require guided onboarding.
- Customization options may vary by deployment environment.
- Integration setup can be time-intensive for legacy systems.
- Advanced governance features are best utilized by trained users.
Custom
Pricing information is not directly provided.
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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