Scaling AI without losing control is a challenge many organizations face, especially when navigating technical complexity and regulatory demands. ML, AI, and LLMs are often scattered across organizations, with limited oversight and controls, making it even harder to maintain accountability. That’s where an AI registry comes in, a centralized solution that enhances efficiency, transparency, and compliance while fostering collaboration between data and governance teams.
With Deeploy, you can build a robust AI registry, ensuring full visibility and control over your AI use cases. Register, onboard, or deploy an ML, AI, or LLM model onto Deeploy for better transparency, monitoring, risk management, and ensuring proper governance.
A single registry for all stakeholders
Deeploy bridges the gap between MLOps and AI governance, offering a unique combination of functionalities for both technical and non-technical users.
- For data teams: Performance monitoring, alerts, versioning, CI/CD integrations, reproducibility.
- For governance and compliance teams: Oversight, risk management, approval workflows, documentation tracking, and ownership assignment.
All stakeholders, from data scientists to compliance officers, can collaborate seamlessly while staying aligned on risks, responsibilities, and regulatory requirements.
Register & centralize all models in your organization
Onboard any model for any organization with any maturity. You can deploy natively on Deeploy to make use of the full suite of features, but you can also easily connect models deployed in other platforms or start registering models still in development.
- Registration deployment: Onboard models still in development and store key information like compliance documentation, model cards, data cards, and metadata.
- External deployment: Connect models deployed in external platforms, enabling full traceability and monitoring in Deeploy.
- Managed deployment: Deploy models directly in Deeploy for full control and access to our out-of-the-box explainability features.
Oversee and manage all use cases
The team overview provides a clear snapshot of models across workspaces, helping you stay in control at scale. Get a clear overview of all models across your organization, along with the following information at a glance:
- Risk classifications
- Model ownership
- Triggered alerts
- Compliance progress
- Usage statistics
- Log of relevant events for clear audit trails
Version control and performance monitoring for data teams
Deeploy seamlessly integrates with your tech stack, making it easy for your data teams to use as a centralized AI registry. With Deeploy, your data teams can:
- Manage versioning, deployment history and monitor performance.
- Streamline workflows with Continuous Integration and Continuous Delivery integrations.
- Ensure traceability and reproducibility, making sure you can always trace which model version, input, and output were used to make a decision and reproduce it by reverting to that model.
Centralize compliance documentation
For governance and compliance teams, Deeploy centralizes all compliance related information in one place, allowing you to:
- Track regulatory progress for each model.
- Upload compliance documentation and create custom checklists.
- Access pre made templates on important regulation.
- Export compliance documentation.
- Easily access all model information.
Streamline collaboration across teams
Deeploy acts as a single hub for control of AI, bridging the needs of both data and governance teams:
- Data teams can onboard, monitor, and iterate models in real time.
- Governance and compliance teams get an overview of all use cases along with their compliance progress and risks.
By unifying technical and non-technical workflows, Deeploy enhances collaboration and ensures smooth alignment across the organization, enabling organizations to confidently manage and deploy models, ensuring smooth collaboration and mitigating risks.
