The Adamatics Workspace
From insight to impact - fast
The Workspace is designed to accelerate the path from idea to outcome. Users can build notebooks, dashboards, apps, and AI tools using pre-integrated data and compute resources. Built-in sharing and role-based permissions make it easy to publish work across teams, departments, or the entire organization.
Whether it’s an internal portal, a monitoring dashboard, or a GenAI-powered tool – the workspace helps you get it live without friction.
A common scenario: From blocked to breakthrough
Trying to collect data from silos...
Let’s say a product team needs to track how users are engaging with a newly released feature. The data lives across several systems – usage logs in one database, customer segments in a CRM, and feedback in a shared spreadsheet. Accessing all of it would normally require multiple teams, manual exports, or time-consuming IT requests.
The Workspace brings everything together
With Adamatics Workspace, a data analyst can easily bring data from different sources such as databases, spreadsheets, or cloud platforms – onto one place without needing complex setups. They use built-in tools and templates to organize the data and build a live dashboard that updates automatically. Once it’s ready, the dashboard is securely shared with the product, marketing, and support teams, so everyone has access to the same, up-to-date insights.
What used to take weeks can now be done in a single afternoon – and everyone stays aligned with a single source of truth.
Workspace: Built for enterprise collaboration
The Workspace is more than just storage or compute – it’s a governed library of tools, insights, and reusable assets. Every object (notebook, app, dashboard) is versioned, protected, and discoverable. Teams can find what exists, see what’s in use, and build on top of prior work – without duplicating effort.
Key capabilities:
- Version control for all assets
- Reusable components and templates
- Search and tagging for discoverability
- Access control on all assets
This not only accelerates delivery, it creates an internal culture of reuse, consistency, and speed. Many modern organizations strive for this kind of data product mindset to maximize the value of their analytical outputs and avoid redundant work.
Workspace: with governance in mind
Enterprise-grade governance is embedded into the workspace. Every user action is traceable. Access is tightly controlled through integration with your existing identity provider (SSO, AD). Sensitive assets can be locked down with granular permissions.
That means teams can move fast without sacrificing security or oversight.
Security features:
- Role-based access control
- Policy enforcement (e.g. data handling rules)
- Audit logs and traceability
Accelerate digital transformation
Empower your team to scale citizen development, deploy AI tools, and modernize analytics effortlessly with Adamatics Workspace. Streamline your workflows, boost collaboration, and turn ideas into measurable impact.
Book a discovery call with us, and let’s talk how analytical insights can transform your workflows:
FAQ's
What is the Adamatics Workspace?
The Adamatics Workspace is a secure, governed environment where data scientists, analysts and developers can work with notebooks, scripts and apps using familiar tools. It provides standardised, containerised environments on top of your own infrastructure so teams can build, run and share analytics and AI workloads in a consistent way.
Who is the Adamatics Workspace designed for?
The Workspace is designed for data-driven teams in enterprises, including data scientists, analysts, engineers and technically minded business users. It gives them a shared place to experiment, collaborate and operationalise their work without each team having to maintain its own ad hoc infrastructure.
How does the Adamatics Workspace support collaboration and reuse?
The Adamatics Workspace includes a Gallery where users can publish, discover and reuse notebooks, apps, datasets and templates. This makes analytics more reusable and reduces duplication, because teams can build on existing work, share best practices and standardise how common problems are solved.
What tools and environments can run inside the Workspace?
The Workspace supports standard tools such as Jupyter, RStudio and VS Code running in containerised environments. These environments are preconfigured with the right libraries, integrations and security settings so users can focus on their work instead of managing dependencies or infrastructure.
What security benefits does the platform provide?
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.
How does the Workspace keep data secure and governed?
The Adamatics Workspace runs inside your own cloud or on-prem environment and uses your identity provider for authentication. Access to data is enforced through the Integration Layer with identity pass-through and role-based permissions, so users only see the data they are allowed to access while all activity is logged and auditable.
How does the Adamatics Workspace support generative AI and LLMs?
The Workspace is LLM-agnostic, allowing teams to experiment with different models while keeping data inside the enterprise perimeter. Users can build GenAI and RAG workflows that connect to internal data through the Integration Layer, compare models and standardise what works without moving sensitive data outside the environment.
How can organisations get started with the Adamatics Workspace?
Organisations typically start by connecting the Workspace to existing data platforms and onboarding a few initial teams or use cases. From there, they can publish reusable templates in the Gallery, roll out standard environments and gradually expand self-service access so more teams can benefit from governed analytics and AI.
