Model lifecycle & governance
Deeploy
Dutch platform that puts governance in the deployment path: models are registered from Git, MLflow, Databricks, Hugging Face or Azure registries, standardised assessments set a use-case risk score that selects applicable controls, role-based approvals gate deployment, and a gateway handles monitoring, guardrails and logging.
commercial · generally available · Research snapshot 2026-09-06
Visit the official product source ↗Where it fits
Model lifecycle & governance · AI risk & compliance management · Runtime authorization & controls
Useful conversation with: ML engineering lead, Model risk manager, AI governance lead.
Ask for a demonstration
Show me a deployment blocked until the required roles approve, with the risk score, selected control framework and gateway monitoring for the approved version.
Capabilities and evidence
Support labels reflect the supplied research. Documentation and vendor claims are not independent product tests. “Not established” means the researcher did not find support; it does not prove a capability is absent.
Documented by provider
Deeploy documentation states standardized assessments determine use-case risk levels, risk scores automatically determine which controls apply, control frameworks can be selected from global, European or company-specific sets, and approval workflows are configured by defining which roles must approve deployments in each workspace.
Limit: Docs describe configuration; they do not enumerate included framework content or prove that approvals are technically unbypassable.
Source s1
Documented by provider
Documentation states model artefacts can be deployed from Git-based version control, MLflow, Databricks, Hugging Face or Azure model registry, models can be hosted as managed deployments, integrated as external APIs or registered, and an automated gateway provides monitoring, guardrailing, alerting, logging, authentication and load balancing.
Limit: Integration list is documented at a high level without version support details or limits.
Source s1
Vendor claim
The vendor site claims discovery, onboarding and monitoring of any AI system or agent at runtime and connection of any MLOps or GenAI platform without migration.
Limit: Marketing claim; 'any platform' breadth and discovery method are not evidenced.
Source s2
Limitations to discuss
- Company headquarters and legal entity not stated on fetched pages (commonly reported as Netherlands).
- Self-hosted option inferred from runtime/gateway architecture references, not explicitly documented on pages read.
Sources
- Embed governance in your AI deployments with Deeploy · Deeploy · official docs
Access date reported by researcher: 2026-09-06 - Deeploy — AI Governance Platform · Deeploy · official product
Access date reported by researcher: 2026-09-06
Listing does not imply partnership, supplier status, a working DutyGraph integration, or a compliance certification.
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