Orchestration & security are often difficult to manage. Computing resources like CPU, GPU, storage, and middleware are spread across cloud and on-prem environments, workloads are siloed, and governance is complex. This fragmentation slows innovation and puts both performance and security at risk.
Adamatics solves this by providing a centralized hub to manage all your analytics operations. It gives teams full visibility, flexible control, and enterprise-grade governance—all from a single platform.
With Adamatics, IT and analytics teams can orchestrate and monitor resources across the entire stack:
Whether you’re running a simple report or training a large language model, Adamatics ensures the infrastructure stays in sync.
Imagine a data science team preparing to roll out a new machine learning model. They need GPU access to train the model, storage to log results, and a way to deploy it inside a secure environment. In many organizations, this would require multiple requests to IT, manual provisioning, and long wait times.
All of this happens inside one governed platform where access is controlled, activities are logged, and policies are enforced automatically. This ensures that every user operates within approved boundaries while accelerating delivery across teams.
Security isn’t an afterthought in Adamatics – it’s built into every layer:
Identity propagation ensures data access reflects the user’s actual permissions, even across multiple systems
This keeps infrastructure secure, auditable, and aligned with enterprise policies.
Adamatics delivers more than orchestration — it delivers peace of mind. With a single place to manage analytics operations, teams can:
The platform supports both interactive and automated workloads, ensuring that everything from exploratory analysis to production AI runs reliably and efficiently.
If your organization is scaling analytics, investing in AI, or simply trying to improve operational clarity, Adamatics Orchestration & Security provides the foundation you need.
One platform. Complete oversight. Built for performance. Powered by trust.
Book a discovery call to see how Adamatics can simplify your analytics workflows, boost security, and give your team full control – all from one platform:
Orchestration & Security refers to how Adamatics manages deployments, identity, access, and governance inside your own cloud or on-prem environment. It ensures that apps, notebooks, and workflows run securely while automating the infrastructure tasks that typically slow teams down.
Adamatics uses your existing identity provider such as Okta, Entra ID or Active Directory. When a user logs in, their identity is passed through end-to-end so they only see the data and services they are allowed to access. This removes the need for custom credentials, secrets or duplicated permission models.
No. Adamatics does not copy or move data outside your perimeter. Instead, it connects to your existing systems through governed APIs. All computation, access and authentication happen inside your cloud or on-prem environment, preventing data leakage and reducing compliance risks.
Adamatics automates the hard parts of deployment, including DNS, certificates, logging, scaling, and role-based access. Teams can deploy multi-container applications — front-end, back-end, and database — with a single click. This reduces time-to-impact from weeks to minutes.
The platform enforces secure defaults such as identity pass-through, access logging, encrypted communication, and consistent policies across all environments. Because everything runs inside your perimeter, the organisation retains full control over data access, compliance, and operational monitoring.
The Integration Layer acts as a governed “switchboard” that standardises how apps, notebooks and AI agents access enterprise systems like Snowflake, Databricks, SQL or SharePoint. It handles authentication, connectivity, permissions and auditing, so developers don’t need to rebuild these components each time.
By standardising environments and automating deployments, Adamatics removes friction between teams. Data scientists, analysts, developers and IT can work in a shared, governed workspace with consistent tooling. This makes it easier to reuse components, scale solutions and operationalise analytics quickly.