The team behind ToShift
We are a small, tight-knit team, and we build AI as a decision layer for logistics operations.
Our Values
What we believe
We want to understand how a system actually runs before we judge it. That includes the organization behind it.
We question existing structures and rebuild them when they no longer hold. That applies to our own as well.
We trust decisions to be made where the work happens. That makes us faster than any approval loop could.
We implement what we recommend, and we're measured on the result.
Culture
At work
Our Domain
Why logistics
We chose logistics deliberately. Warehouses, fleets and yards are the physical layer of every supply chain. For years they have come last when it comes to technology, and yet operations depend on them.
When something fails there, the whole chain feels it, often far from where the problem started.
We work on live systems, with the data and the consequences of real operations.
Logistics isn't glamorous, but it is essential.
How we learn
The 70 / 20 / 10 Principle
Learning time is scheduled working time.
We learn on the job, at the client and on their systems.
Architecture and integration work together in the same teams. Along the way, we learn how the others work.
Once a month, we deliberately turn to something else, with time blocked out for it.
Join the team
You'll find open roles and how to apply on the Careers page.