The AI Engine automatically matches every transport order to the best vehicle available right now. Faster and more accurate than your entire planning team — in the time it takes them to open a spreadsheet.
ONYX AI Engine
Faza 1
Reads and structures the load
The engine intakes loads from email, EDI, TMS, and APIs. It extracts locations, dates, dimensions, ADR, certifications — and normalizes everything into one clean structure.
AI Leadership
A team that pairs 40+ years of fleet-optimization experience with state-of-the-art ML. No tricks — just engineering we run ourselves.
Head of AI for Logistics
15 years in transport optimization. Previously designed routing algorithms for a global 3PL operator and led the ML team at Inelo.
Senior ML Engineer — Routing & Optimization
Specializes in combinatorial optimization for mixed fleets. Previously on the route-planning team at Eurowag and an automotive industry consultant.
Data Science Lead
Builds predictive models for cost and delay risk. Previously Data Science at MAN Truck & Bus and Trans.eu.
North Star
Wyobraź sobie dostęp do każdego przewoźnika w Europie
Masz zlecenie do przewiezienia
Bez spedycji. Silnik znajduje idealnego przewoźnika.
Przewoźnik akceptuje. Realizuje. Na czas.
Bez pośredników. Bez utraty marży. Jeden system.
No. The engine proposes the best choice and explains why, but the human makes the final call.
In practice, dispatchers focus on edge cases while the engine handles routine matches.
Typically 2-4 weeks. The first week connects TMS and telematics data; the rest is calibrating business rules.
From your TMS, telematics, tachograph, and service calendars. We connect via APIs or ready-made integrations (including ONYX TMS and ONYX Telematics).
One click swaps to an alternative. Every override is a signal back to the model — the engine learns your specifics.
Yes. The Policy Layer lets you define priority clients, allowed zones, required certifications, and driver assignment preferences.
