June 26, 2025

They Didn’t Want a Vendor. They Wanted Ownership.

How One Energy Company Escaped AI Lock-In—And Took Control

A fast-growing energy company builds linear generators—machines that generate electricity from linear motion, using hydrogen, ammonia, biogas—almost any fuel.

Amazing tech. But there’s a problem.

Energy infrastructure is changing faster than policy can keep up. Power sources are becoming decentralized. Grids are growing brittle. To stay ahead, they knew they needed machine learning solutions. For that they needed an ML platform. And it needed to be theirs.

They had to own it.

The Problem

They had already selected Nebari, a robust and open source ecosystem for deploying AI workflows. It could be deployed across major cloud platforms, and had features for role-based access, environment management, and scalability that their team needed.

But deploying Nebari on Google Cloud Platform (GCP), within their team’s constraints, introduced two massive risks:

No backup protocol

No support channels

Their team was lean by design. They weren’t trying to become another data company. They needed someone to come in, build their ML platform, and then leave them in control.

That’s why they called OpenTeams.

The OpenTeams Solution

Challenge	OpenTeams Solution
No robust AI/ML platform	GCP-native Nebari install, preconfigured
No internal DevOps expert	DevOps-free platform management tools
No backup + restore options	Feature added to Nebari + tested for GCP
No support overhead wanted	Scoped ticket system only for actual issues
No vendor lock-in	Open source platform + Full doc handoff + internal Capability uplift

This energy team got exactly what they needed, and nothing they didn’t. And when OpenTeams stepped back, they inherited infrastructure they understood

What Changed

With OpenTeams’ help, this energy team now runs a scalable ML platform that they fully own.

Reduced recovery time by automating critical system backups.

Eliminated hidden dependencies, making internal audits easier.

Improved long-term sustainability, since no proprietary software limits their roadmap.

The team uses Nebari to support experimentation and data workflows—without having to escalate small issues to external vendors.

Why It Worked

They wanted AI, but they weren’t interested in becoming a data company in the process. OpenTeams support saved them months of debugging and setup, and our engineering enhancements pushed Nebari further than before to work for their specific needs.
Every software platform tries to capture you. At OpenTeams, our goal is your sovereignty. We build data systems that you cont

The Difference Between a Vendor and a Partner

	Traditional Vendor	OpenTeams
Stack Ownership	They own the roadmap	Headless agent runtime inside jupyter
Support Model	Monthly fees, slow escalations	Scoped to your needs, ticket-based
Handoff	Retained control, unclear docs	Clean docs + working knowledge
Lock-in Risk	High	Zero

Bottom Line

OpenTeams gives you everything you need to own your stack, host your models, and control your data—with none of the managerial baggage.

We call it AI Enablement as a Service.

If you’re ready to own your AI, without baggage, you need OpenTeams.

Slow Down — Simple Lessons for Guiding AI and Shipping Better Code

April 23, 2026

How to stay in control, stay sharp, and actually benefit from the tools everyone’s rushing to use. AI coding tools can dramatically accelerate your output — but raw speed without