Deeploy
Deeploy: A governed model registry for teams managing AI systems across their lifecycle. Ranked #11 of 34 in Model Registry Software by our editors (7.9/10); pricing: Pricing on request; best for governed enterprise model operations.
At a glance
- Editor score7.9 / 10
- PricingPricing on request
- Best forGoverned enterprise model operations
- Free planNo
- Approval workflowsYes
- Facts checked22 Sep 2026
Where it wins
- Central registry with versioning, lineage, approvals, and audit trails
- Risk classification, compliance controls, explainability, and output guardrails
- Integrations across MLflow, cloud ML platforms, and collaboration tools
Where it doesn't
- No free plan is available
- Pricing combines platform and seat fees and requires a demo
- Core is SaaS-only and does not include SSO or user management
Our verdict on Deeploy
Deeploy is an AI governance platform for organizations managing machine learning, generative AI, and agentic systems. Its central AI and model registry brings together model and artifact versioning, deployment tracking, monitoring, explainability, risk classification, compliance controls, approval workflows, and audit trails. Governance, risk, compliance, data science, engineering, and product teams can use it to coordinate model operations across managed, external, and registration deployments.
The published plans show a contact-sales pricing model with a fixed platform fee and seat-based pricing for Core and Scale, while Enterprise uses a custom platform fee. Core provides SaaS-only deployment, self-service documentation, and public-channel support. Scale adds SaaS or private-cloud deployment, SSO and user management, plus standard email and chat SLA support. Enterprise includes private-cloud deployment options, SSO and user management, custom SLA terms, and a dedicated customer success manager. The structure fits organizations that need governance controls and deployment flexibility rather than a free starting tier.
Deeploy’s strongest fit is breadth across the AI lifecycle: teams can connect tools such as MLflow, Databricks Unity Catalog, Hugging Face, Azure Machine Learning, AWS SageMaker, and IBM Watsonx, then work through a REST API, Python client, or code snippets. Slack, Microsoft Teams, and OpenID Connect extend its operational and identity integrations. Model performance monitoring, tracing, alerts, deployment states, compliance frameworks, and guardrails make it suited to controlled enterprise operations. Organizations seeking a lightweight registry without governance workflows, compliance controls, or deployment management may prefer a narrower tool.
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Deeploy pricing
All 3 Deeploy plans and prices →
Deeploy fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Model versioning | Yes |
| Approval workflows | Yes |
| Model lineage | Yes |
| Deployment tracking | Yes |
| Model aliases | Not verified |
| Artifact storage | Yes |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | ISO 27001 |
| Support | Email, Live chat, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 9 integrations: MLflow, Databricks Unity Catalog, Hugging Face, Azure Machine Learning, AWS SageMaker, IBM Watsonx … See all → |
| Pricing | Pricing on request (source) |
| Website | deeploy.ai |
| Facts checked | 22 Sep 2026 |
Deeploy integrations
Deeploy lists 9 integrations on its own site.
- MLflow
- Databricks Unity Catalog
- Hugging Face
- Azure Machine Learning
- AWS SageMaker
- IBM Watsonx
- Slack
- Microsoft Teams
- OpenID Connect
See all Deeploy integrations →
Alternatives to Deeploy
- SAS Model ManagerA governance-focused registry for managing models from versioning through monitoring.9.3
- Cloudera AI RegistryA focused model registry for teams operating machine learning workflows in Cloudera AI.9.2
- MLflow Model RegistryAn open registry for versioning, lineage, approvals, aliases, and model promotion.8.9
See all Deeploy alternatives →
Also Ranked In
Deeploy is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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