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Inside a $1T Firm’s Fight to Build Real AI Infrastructure

A real-world case study from one of the world’s top investment firms (anonymized for compliance).

Why Enterprise AI Fails (and What to Do About It)

The biggest threat to your AI rollout isn’t the tech.

It’s the gap between vision and execution.

Here’s how it usually plays out:

  • AI models with nowhere secure to live
  • Compliance hurdles nobody scoped
  • Security questions no one can answer
  • A shiny demo without substance or practical solutions

That’s not a leadership failure.

It’s a structural one.

And that’s what Quansight and OpenTeams were brought in to fix.

Why AI Wasn't Working in High Complaince Environments

What They Needed

This investment firm needed:

  • An AI-powered way to search their 150,000+ internal documents
  • Security strong enough for SEC-grade scrutiny
  • A rollout simple enough to use—without retraining a floor of analysts

They didn’t want an empty pitch.

They wanted something that worked.

How We Made It Work

We started with the questions most teams skip:

  • Where will the model actually live?
  • Who gets access—and who shouldn’t?
  • What happens when this scales?

From there, we built what their system actually needed: a secure, modular system with analyst-friendly interfaces and audit-ready compliance logs.

What Changed

Before After
+150,000 PDFs reviewed manually Ranked, AI-powered answers with context
Vague permissions Role-based identity management, down to the document
Tech bottlenecks Easy-to-manage GUI tools for ops and security
Fragile setup Fully documented, reproducible environments
  • Everything stayed behind their firewall.
  • Everything integrated with their current stack.
  • Nothing was handed off without real-world readiness

Why It Worked:

Because we didn’t just ask, “What do you want to build?”

We asked, “What happens if this doesn’t scale?”

And then we built it to scale.

No rush jobs. No lock-in. No waiting for someone else to figure it out.

Who We Are:

OpenTeams and Quansight are the teams behind some of the most trusted open source infrastructure in the world—tools like Jupyter, PyTorch, scikit-learn, Nebari, and more.

We help enterprise leaders:

  • Deploy AI infrastructure that’s visible, secure, and sustainable
  • Avoid lock-in and shadow systems
  • Scale without compromising security or compliance

More Than Models. Real Infrastructure. Built for Trust.

  • Air-gapped deployment
  • Inference Privacy
  • Workflow-aligned agents
  • Reproducibility & Training
  • GUI admin interfaces

Build the AI you actually own.

Talk to the engineers behind the open-source foundations of modern AI about scoping your owned-intelligence roadmap.

Talk to Us