Adamatics is a collaborative data science and AI platform that brings your data sources, tools, and teams into one shared space within your infrastructure - so you can stop working in silos and start solving real business challenges, faster.
The best way to understand it? See it in action.
Adamatics brings clarity and cohesion to your analytics efforts by integrating your data sources, tools, and teams.
If your analytics process still relies on local code, disconnected tools, or knowledge that lives in one person’s head - you’re not alone. But it’s costing you.
Teams work from different sources, making trust and alignment impossible.
Analysts use one set of tools, data scientists another - none of it reusable.
Business users are locked out. Developers build in isolation. Nothing scales.
Every new analysis or app becomes a one-off effort. Insight stays hidden. Momentum stalls.
Adamatics changes how your data gets utilized - by connecting people, tools, and data in one environment. Everyone contributes. Everyone moves faster.
One integration layer for all your data sources - cloud, on-prem, or hybrid.
Analysts, scientists, engineers, and business users work side-by-side.
Built-in support for experimentation and deployment, without the overhead.
We're here to answer your questions.
Deploy on your preferred infrastructure—AWS, Azure, GCP, or private cloud. Kubernetes-native, fully containerized, and enterprise-ready.
Yes. Adamatics runs entirely inside your trusted environment. Your IT team controls access, governance, and integrations.
No. You own your code, models, and data. Everything runs on open-source components with standard formats. Easy to migrate, if needed.
Absolutely. Whether you’re building ML models, automating workflows, or enabling self-service analytics—Adamatics scales with your needs.
You get hands-on help from our local team of data engineers and AI specialists. From setup to scaling, we’re here to make sure you succeed.
You won’t fully get what Adamatics can do just by reading about it. And that’s okay. It’s not a conventional tool. It’s a new way of working with data - collaboratively, across teams, at scale.
Let us show you how it works. No fluff. Just real use cases, relevant to your business.
Where data tools and teams unite.