Data Engineering for Logistics & Supply Chain

Orqent Labs builds the unglamorous layer properly, ingestion, modelling, quality and lineage, because everything above it inherits whatever we get wrong here.

In logistics & supply chain, your data depends on partners whose systems you do not control. That single fact reshapes how data engineering has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is shipping document processing, usually integrated against customs platforms. Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners.

Built by engineers who ship production systems, not by a practice that subcontracts the build. You own the code, the models where they are open-weight, and the documentation to run it without us.