We turn raw transport data into structured business intelligence — and the AI agents that act on it. One layer across ground, marine and air.
Transportation runs on dozens of disconnected systems — planning in one tool, scheduling in another, dispatch, pricing, maintenance and compliance each in their own silo. The data exists. The shared intelligence doesn’t.
DataObi was built to close that gap. We sit as one layer over every system an operator already runs, extract the meaning from raw operational data, and turn it into a live, semantic model of the whole operation — a single source of truth every team can work from.
Then we go further than a dashboard. That intelligence triggers AI agents that plan, schedule, dispatch and optimise — moving operators from looking at data to acting on it, autonomously, at whatever level of control they choose.
Action is only as good as the intelligence behind it. We model the operation before we automate it.
Operators decide how much control to hand over — and climb the autonomy ladder at their own pace.
Real operations span regions, modes and partners. The platform is designed for that mess, not a demo.
Better decisions mean fewer empty miles, less fuel and measurable impact — efficiency is the default.
From raw data to autonomous action — in one platform.