The Platform

Bring your data, tools, and teams together

A collaborative workspace for enterprise teams. Data scientists, ML engineers, and data engineers work together in shared, governed environments — with versioning, reproducibility, and model deployment inside your own infrastructure.

Gallery
Lab
Deploy Apps
Projects
Job Schedules
App Management

The Platform

One integrated platform — three layers working together

Your organisation's digital library for analytics

Create, discover, share, and deploy analytics solutions. A governed environment where every team can find what they need and build on what already exists — from notebooks to production apps.

  • Gallery for discovering and sharing apps, datasets, and models
  • Browser-based Lab with Jupyter, VS Code, and Docker
  • Projects for co-development and external partner access
  • Apps deployed with authentication and access control
Screenshot coming soon

Securely connect all your data sources — once

Stop re-connecting data for every new project. A single integration layer eliminates IT complexity, stores credentials securely, and makes your data available across the entire platform.

  • Databases, data lakes, pipelines, and cloud services
  • No repeated connection setups per team or project
  • Role-based access to each data source
  • Works with AWS, Azure, GCP, and private cloud
Screenshot coming soon

Manage compute and middleware from one place

CPU, GPU, storage, and middleware resources managed centrally. Full visibility and control without infrastructure sprawl — runs entirely inside your trusted environment.

  • Kubernetes-native, fully containerised deployment
  • Centralised resource management across teams
  • Audit logs and identity management built in
  • No data leaves your network perimeter
Screenshot coming soon

Capabilities

Everything your organisation needs to move from data to decisions

Gallery

A hub for discovering and sharing apps, dashboards, datasets, documentation, and models across your organisation.

Lab

Browser-based IDE for analytics development. Supports LLMs, RAG, Jupyter, VS Code, Docker, and R Studio.

Deploy Apps

Multi-container application deployment with authentication and access control — straight from your notebooks.

Projects

Collaborative workspace for co-development. Include external partners without compromising your security boundaries.

Job Schedules

Automate ETL, reporting, and model retraining with centralised performance tracking and failure alerts.

App Management

Centralised control for access, versioning, logging, and usage tracking across all deployed applications.

No fluff. Just real use cases.

Adamatics is easier to experience than explain

No generic demos. Relevant to your business, your data, your team.

Request a demo