About Dataplane
Dataplane is the AI-native platform that connects business meaning to enterprise data—so every team, system, and AI can act on data they trust.
Our Mission
Why We Exist
Enterprises hold the world's richest operational data: decades of transactions, customer behavior, and operational signals, generated continuously across hundreds of systems. Activated, it's a compounding advantage no competitor can easily reproduce.
But most of it stays locked up. Data is fragmented across systems, and the business meaning that turns it into knowledge lives in people's heads, not in the stack. Meanwhile AI-native challengers are built to unify data from day one and learn across it faster. While enterprise data stays fragmented, the advantage shifts to whoever can exploit it sooner.
Dataplane exists to close that gap. We turn raw enterprise data into structured business knowledge—connecting business meaning to data in a living semantic model that both people and machines can read. That's how enterprises unlock the advantage their data already holds, and put it to work for every team, system, and AI.
Our Approach
How We're Different
Decades of Practice
We've spent decades in supply chain as operators and practitioners, not just technologists. Our developers are domain experts and former consultants, so we build for how the work actually happens, because we've done it ourselves.
Software × Consulting
Services firms bill more hours; software vendors sell more seats. We win only when you get value: pay as you go, scale up or down, and keep what we build as assets you can take to any system, with no lock-in.
Built on Trust
We care deeply about building technology and teams grounded in trust, craftsmanship, and collaboration. It shows in the products we ship and the lengths we'll go to to support our relationships.
Our Culture
We're Building for the Long Term
Dataplane is a small, focused team committed to solving a hard problem well. We believe in deep work, clear communication, and building products that customers trust with their most critical workflows.
We are not chasing hype. We are building infrastructure that enterprises will depend on for years. That requires discipline, rigor, and a long-term perspective on product development.