AI Governance, Compliance & Regulation, MLOps

Onboard any AI model with Deeploy

October 18, 2024

Managing models across different platforms and teams doesn’t have to be complex. With Deeploy, any model, whether hosted externally or still in development, can be onboarded and centralized in one place.

Deeploy serves as your all-in-one AI registry, offering powerful monitoring, governance, and compliance tools while streamlining collaboration between compliance and data teams.

Have models deployed elsewhere?

Easily onboard any model from any platform, all you need is a model endpoint. For added security and functionality, you can also incorporate a model repository and authentication.

Once onboarded, you’ll gain full control over every model with real-time monitoring, performance tracking, and robust governance features. 

External deployments allow you to:

Is your model not fully developed yet?

You can easily register your model in Deeploy, even if it’s still in development or no endpoint is available. Documenting models early in their development cycle establishes a strong foundation for future compliance.

Registration deployments allow you to:

Have a model ready to go live?

Easily onboard any model from any platform, all you need is a model endpoint. For added security and functionality, you can also incorporate a model repository and authentication.

Once onboarded, you’ll gain full control over every model with real-time monitoring, performance tracking, and robust governance features.

Managed deployments allow you to:

Frequently asked questions

Why do organizations struggle to manage AI models across teams and platforms?

Most organizations don’t have a centralized way to track where models live, who owns them, or how they’re performing. Models are developed in silos, deployed in different environments, and governed inconsistently—making oversight messy and compliance harder to scale.


Deeploy acts as a single source of truth for all your AI models. Whether your models are in development, deployed externally, or hosted on Deeploy, everything is tracked in one place. This bridges the gap between technical and compliance teams, so governance becomes part of the model lifecycle.

Choose a managed deployment when you want full control, versioning, monitoring, and access to Deeploy’s explainability tools. This setup is best for high-risk use cases, where transparency and traceability are non-negotiable. It also helps when you need to collect feedback, monitor for drift, and ensure you’re meeting regulatory standards like the EU AI Act.

Deeploy tracks model usage, performance, ownership, and documentation, all in one place. It supports control frameworks, audit logs, human-in-the-loop decisions, and alerting, all key capabilities for demonstrating compliance with key AI regulations such as the EU AI Act.

Get started with Deeploy

By onboarding all your models into Deeploy, your technical and compliance teams can finally work in sync. Deeploy centralizes model governance and compliance, making collaboration smoother and more efficient.

Once onboarded, you’ll gain full control over every model with real-time monitoring, performance tracking, and robust governance features. Set up alerts, monitor errors, and track compliance all in one place

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