Use Case
One source of truth for all your AI Agents and Assets
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Why centrally managing your AI ecosystem matters

Simplify AI Management

Bring all your AI models, agents, datasets, and vendors together in one place.

Reduce Hidden Risks

Track how assets are used and catch risks in models and vendors before they become impacts.

Optimize AI Performance

See how your AI assets support business goals. Easily monitor, update, and improve performance.

Core features that enable central AI management

Universal AI Asset Repository

Manage all your AI models, agents, datasets, and vendors in one place. Easily link their usage, risks, and performance to use cases.

Centralized AI Asset Repository

Manage all your AI models, agents, datasets, and vendors in one place. Easily link their usage, risks, and performance to use cases.

Automated Compliance and Risk Tracking

Track regulations, risks, and controls effortlessly. Automate workflows and compliance for your AI assets.

AI Lifecycle Management

Track and manage AI assets from development to retirement. Manage updates, performance, testing, and compliance at every stage.

Streamlined Collaboration Across Teams

Assign roles, share documentation, and provide access to keep teams aligned throughout the AI development lifecycle.

AI Vendor and Third-Party Oversight

Evaluate and onboard vendors and third-party tools. Assess their models, practices and agreements to reduce risks and improve reliability of your AI systems.

Automated Compliance and Risk Tracking

Track regulations, risks, and controls effortlessly. Automate workflows and compliance for your AI assets.

AI Lifecycle Management

Track and manage AI assets from development to retirement. Manage updates, performance, testing, and compliance at every stage.

Streamlined Collaboration Across Teams

Assign roles, share documentation, and provide access to keep teams aligned throughout the AI development lifecycle.

AI Vendor and Third-Party Management

Evaluate and onboard vendors and third-party tools. Assess their models, practices and agreements to reduce risks and improve reliability of your AI systems.

Frequently asked questions
What if I have AI Agents and Assets living across multiple different platforms?

Fairo is designed to work across your entire technology stack. Regardless of where your AI Agents and Assets live, they can be cataloged and managed with Fairo. Our flexible API and extensive plugin library make integrating with Fairo easy, even if your environment is complex.

I don't have any AI in production yet, will Fairo still benefit my organization?

Absolutely! The earlier in the AI Lifecycle that you adopt Fairo, the more likely your AI strategy will be to succeed. Regardless of where you are in your AI lifecycle, Fairo will bring insights, reduce risks, and increase performance. We help connect the dots across your organization so that you don't have to. Teams that adopt Fairo earlier find improved communication, collaboration, and vision when converting POCs into production AI Use Cases.

Over time, models change, risks change. How does Fairo adapt to an evolving AI ecosystem?

AI technology is changing rapidly, keeping up requires a flexible technology model and understanding of foundational concepts. Our technology architecture allows us to map concepts across AI Architectures and risk taxonomies, without having to re-build the underlying repository of data. When technology changes, we are able to re-map your data quickly, discover if any gaps exist, and determine how to adapt efficiently.  

How does Fairo ensure my data is secure?

Fairo implements rigorous IT and security controls. We are SOC2 compliant, and have robust data processing agreements and security policies in place for our customers. For more information on how we protect your data, visit our trust center.

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