Pricing built around your needs.

Our belief is that investment in governance should enable teams to do better, not restrict them. For this reason, our plans are built around the stage you are in.

Pricing is blended and consists of a monthly platform fee and a seat-based fee structure.

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Find the right plan for your organisation

All plans include pre-built control frameworks, compliance templates, and dedicated onboarding. Pricing is based on your organisation’s scale and requirements.

Core

For teams starting their AI governance journey and scaling AI operations.

Scale

For large organisations that need a flexible solution to meet their specific AI needs.

Enterprise

For enterprises requiring a dedicated private cloud environment with maximum control and security.

Not sure which plan fits your needs?

Our team will recommend the right plan based on your AI landscape, compliance requirements, and team size.

Every plan includes what matters most

No matter which tier you choose, Deeploy gives you model-deep governance, not just documentation.

Pre-built control frameworks

Start immediately with frameworks aligned to the EU AI Act, ISO 42001, and NIST AI RMF. No building from scratch, apply governance controls in days, not months. 

Full AI system visibility

See every AI model, every use case, every owner, across your entire organisation. No more “shadow AI” or unanswered auditor questions.

Automated compliance evidence

Stop collecting compliance evidence manually. Deeploy auto-generates audit trails, documentation, and assessment reports. 90% faster than spreadsheets.

Real-time model monitoring

Detect data drift, performance degradation, and bias issues before they become problems. Get alerts via email, Slack, or set up webhooks.

Integrated with your AI stack

Integrates with MLflow, Databricks, SageMaker, Azure ML, Hugging Face, and more. No new stack, Deeploy fits into your existing workflows.

The bridge between governance & AI teams

One platform where governance & compliance officers, data scientists, and AI engineers all work together. End the disconnect between policy and practice.

30 minutes. Tailored to your organisation.

How leading organisations use Deeploy

Frequently asked questions

Who is Deeploy built for?

Deeploy is built for teams responsible for AI governance, risk, and compliance, working closely with data science, engineering, and product teams. It enables cross-functional collaboration while ensuring AI policy enforcement does not slow down development or deployment.

Most organizations are up and running within 2-4 weeks. Deeploy integrates with your existing ML stack (MLflow, Databricks, SageMaker, Azure ML), so there’s no rip-and-replace. The pre-built control frameworks mean you don’t need to build governance from scratch.

Deeploy does not hand you software and walk away. We guide you through implementation, help configure your control frameworks to match your regulatory context, and support onboarding for your teams. Most customers are up and running within 2 to 4 weeks.

Deeploy fits into existing AI and governance workflows and supports a broad range of platforms and tools. This includes AI and data platforms such as Azure Machine Learning, Azure OpenAI, Hugging Face, MLflow, AWS SageMaker, Databricks (including Unity Catalog), Mistral, and IBM Watsonx.

For governance and operations, Deeploy integrates with tools like ServiceNow, OneTrust, and the Dutch Algorithm Register. It also supports Slack for collaboration and OpenID Connect for identity and access management.

Deeploy is priced based on two dimensions: the number of users on the platform and the number of AI systems you govern. This keeps pricing tied to actual usage and organizational scope, rather than random metrics.

Yes. Deeploy is designed for organizations that start focused and expand over time. Pricing scales with the number of users and AI systems you add, so growth in usage does not translate into disproportionate cost increases. We will work with you to structure a commercial agreement that reflects your roadmap, not just your starting point.

On the Enterprise plan, Deeploy can be deployed inside your own cloud (AWS or Azure) or on-premise. No sensitive data leaves your environment. Deeploy is ISO/IEC 27001 certified.

Yes. Many customers start with a limited-scope pilot covering a few AI use cases to validate the value before rolling out across the organization. This reduces risk and gives stakeholders time to see the impact.

Yes. Deeploy includes pre-built AI control frameworks aligned with regulatory and standards-based requirements such as the EU AI Act and ISO 42001. These frameworks help organizations easily operationalize AI risk management and compliance requirements instead of managing them manually through documents and spreadsheets.

Still have questions? That’s what the demo is for.

Our team will address your specific concerns in a live conversation.

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Build audit-ready AI governance from day one