
From Information Science to Infrastructure: How Data Science Shapes the Future of AI
July 16, 2026 • Nicole M. Laine • 6 min read
Read moreOnly a few years ago, we were merely experimenting with AI. Generative AI was just taking off among the general public with ChatGPT, and the concept of agentic AI was still a little dystopian. Here in 2026, agentic AI is no longer a dot on the horizon; it's taking off among forward-thinking people and organizations.
AI Agents are reading documents, connecting to internal tools, and taking actions across workflows. This kind of power comes with an obvious problem: as soon as agents touch sensitive business data, what happens to our data? Who has access to it? And where does it live? Many of us want to play around with agents or integrate them into our daily workflows to save us time and effort and reduce monotonous manual tasks, but this increase in productivity should not come at the expense of data privacy.
That is why we built amazeeClaw: a managed OpenClaw hosting service designed for teams that want the productivity upside of AI agents without compromising on data sovereignty.
For many teams, the blocker to adopting AI is not interest or capability. It is a risk. When AI workloads involve customer data, internal documents, or regulated information, organizations need to be confident that:
Until now, the OpenClaw hosting landscape has been fragmented and has often fallen short of enterprise standards. amazeeClaw changes that by making data sovereignty the starting point, not an afterthought.
amazeeClaw is our managed OpenClaw hosting service, built on the high-performance amazee.io infrastructure.
As the fastest-growing open-source AI agent framework, OpenClaw redefines what automated assistance looks like. Unlike a standard chatbot, OpenClaw agents run continuously, retain deep context, and take direct action through an integrated suite of tools.
It is designed to be proactive: while typical chatbots wait for you to prompt them, OpenClaw works continuously, checking for tasks to solve and goals to achieve. It evolves with you over time, sharpening its intuition and getting to know you and your needs.
Our focus with amazeeClaw is simple: make OpenClaw production-ready for teams that need clarity on security and data residency. With amazeeClaw, customers choose their region at signup and run OpenClaw in that jurisdiction.
At launch, regions include:
If you're new to agentic AI, think of amazeeClaw as a lightning-fast personal assistant that removes the burden of manual tasks. Here are a few suggestions to use it:
Instead of scrolling through news sites, tell amazeeClaw which topics you care about. It can spend the night reading articles and send you a short summary each morning.
Before a meeting starts, amazeeClaw can look at your calendar, find the last few emails or Slack messages you exchanged with the attendees, and send you a quick "cheat sheet."
amazeeClaw can read your incoming emails and sort them. It can draft replies to simple questions (like scheduling) and only alert you if something is actually urgent.
Need more inspiration? Look no further than your amazeeClaw dashboard. Simply type in the chat and ask amazeeClaw what it can do for you.
If you want to run OpenClaw agents with control over residency and a clear compliance story, amazeeClaw is ready.
Get started with amazeeClaw
Deploy AI agents in sovereign, certified infrastructure with full data residency control.
amazeeClaw is built on amazee.io infrastructure — ISO 27001 and SOC Type II certified, with data centers in EU, UK, CH, US, and AU.

Author
Michael Schmid, Founder & General Manager
Michael Schmid (widely known in the Drupal developer community as "Schnitzel") is the Founder and General Manager of amazee.io and amazee.ai. A visionary leader in open source systems and cloud-native application hosting, Michael has spent decades architecting high-availability infrastructure and scaling enterprise web operations globally. He established his technical foundation through an IT apprenticeship at Siemens Switzerland and TBZ Technische Berufsschule Zürich, later sharing his insights as a Visiting Lecturer at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW). Today, Michael directs the strategic vision for amazee.ai’s enterprise trust layer, pioneering private AI gateway solutions that emphasize zero-token retention architectures, rigorous prompt engineering security, multi-model routing efficiency, and advanced agentic workflows via amazeeClaw. He is an internationally recognized speaker, open source champion, and cloud infrastructure innovator, and Private AI advocate.

July 16, 2026 • Nicole M. Laine • 6 min read
Read more
July 2, 2026 • Matthew Saunders • 11 min read
Read more
June 24, 2026 • Jason Lewis • 5 min read
Running autonomous AI agents locally or on public clouds leaks data. Learn how to deploy them securely via a secure, private LLM infrastructure.

June 16, 2026 • Katy Walsh • 6 min read
Anthropic suspended Claude Fable 5 & Mythos 5 over US export controls. Learn why a private LLM API & sovereign AI infrastructure are critical for continuity.

June 10, 2026 • Philipp Melab • 9 min read
I pitted myself against 6 AI agents in a strict TypeScript repo. Discover why some models saved 80% while others were a net-negative expense.

May 27, 2026 • Thomas Schröpfer • 7 min read
Secure your LLM workloads with a managed, OpenAI-compatible Private AI Gateway. ISO 27001, SOC 2 Type II, HIPAA-compliant, with full data sovereignty across EU, CH, US, UK, DE, and AUS.