Our story

Why
Tribal

We spent years inside the B2B platforms that enterprises actually run on, building some of the most complex apps ever shipped on those platforms, selling those apps to the people who buy them, and implementing them at the customers betting their businesses on the outcome.

The same scene played out everywhere we looked: business asks for something simple, IT says "we'll get to it," the backlog grows, an AI demo wows the room for an afternoon and then dies the moment it touches a real org.

We started Tribal because we already knew what the market is just starting to admit, that no single coding tool will vibe-code an enterprise system, that real apps take a tribe to ship, and that AI only earns trust when it builds inside the stack the business already runs on. We've shipped at that bar before. We're building Tribal to make it the new baseline.

The founders

Life at Tribal

A small glimpse to our office life

Explore Tribal Knowledge

Why Metadata Is the Foundation for Real AI Readiness

Most AI projects fail without system context. Learn how a living metadata fabric enables AI readiness — and see how Tribal makes it possible.

Why CIOs Need to Get Ahead of AI Adoption Before Their Employees Do It for Them

After nearly 30 years leading IT organizations, the pattern I keep seeing is this: the biggest AI risks aren't the ones leadership planned for.

Managing Enterprise Applications With AI: 8 Shifts Leaders Can’t Ignore

AI is transforming enterprise application management from static, predictable systems into dynamic, continuously evolving environments. This piece outlines eight key shifts leaders must adopt to prioritize experimentation, flexibility, and adaptive architectures in an AI-driven world.

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