Owned Intelligence.
Built for Enterprise.
Trusted by the teams building the future of AI
Founder
Travis Oliphant, PhD
Built by the creator of NumPy & SciPy — the Python libraries powering every major AI model in production today.
Today’s AI Is Rented.
The Value Isn’t Yours.
01
AI subscriptions capture your data by design. That’s the business model. Every query you send increases your dependence and makes their system more valuable.
02
Subscriptions give you access, but they don’t guarantee outcomes. Fewer than 30% of CEOs report satisfaction with their generative AI returns. That’s not a coincidence.
03
Your data and regulatory requirements are exposed by default. More than 147 countries now enforce data sovereignty laws. Subscription AI wasn’t built to accommodate them.
04
You don’t own a subscription. While you pay, the system improves, but the asset accumulates to the vendor, not your organization.
Building the Infrastructure for a Distributed
AI Economy
We’re moving from an era of software seats to one of owned intelligence hubs. The winners won’t just use AI. They’ll own the layer where it runs.
Models, data, workflows, and institutional knowledge stay inside your environment, and start compounding in value from day one.
Connect to partners, vendors, and data providers on your terms. You control what flows in and what flows out. Ownership never leaves you.
Networks of owned hubs form the fabric of a new economy, where AI capabilities are published, discovered, and consumed across organizations on open standards.
Building the Infrastructure for a Distributed
Yours to keep.
From an open-source foundation to the enterprise hub, and the modular capabilities you customize it with, everything you need to build AI you actually own
Models, data, workflows, and institutional
Already production-proven across government, enterprise, and research. Nebari is the trusted infrastructure layer on which your AI Hub ecosystem is built, and the foundation for every deployment we deliver.
AI at your fingertips
Publish, discover, consume, and share agentic workflows and AI capabilities. A free application to participate in the distributed applied AI economy, building networked private ecosystems on open standards.
Your Enterprise Deployment
Your organization’s private AI environment. Every model, workflow, and data source is fully controlled by you. Your institutional knowledge stays yours and grows more valuable over time.
Our founder, Travis Oliphant, PhD created NumPy and SciPy, the foundational tools behind every major AI system in use today. He went on to found Anaconda and Quansight, repeatedly taking open-source innovation and turning it into enterprise-grade infrastructure at global scale. OpenTeams is the next chapter in that same story.
We don't just use open source. We build it, maintain it, and know how to make it production-ready for the world's most demanding organizations. That means you get the flexibility and transparency of open source, without the implementation risk.
Trillions are being spent on AI infrastructure. OpenTeams converts that spend into real, integrated, owned capability. We come in, we build it, and your organization owns it, not us, not a hyperscaler.
Through the Applied AI Society, we're training and deploying a global community of applied AI engineers, building the implementation workforce the world needs to actually use the infrastructure being built.
Owned AI, in production.
OpenTeams built a transparent, explainable model for a biotech firm that fixed chaotic tooling and scattered ML workflows.
OpenTeams built an auditable system for an investment firm that they truly owned.
OpenTeams built an auditable system for an investment firm that they truly owned.
OpenTeams built an auditable system for an investment firm that they truly owned.
The AI You Keep Starts Here
Every other implementation partner leaves you dependent. We come in, build it, hand you the keys. That’s our model.
