We run a 7am–7pm development day, which means our team is available when logistics operations are running, not just between 9 and 5. Deployments are planned around your operational windows, so we’re not releasing new code in the middle of a peak period. We work agile, communicate clearly, and don’t believe in unnecessary process.
When a project is complete and paid for, the code is yours. No licensing fees, no lock-in, no ongoing charges for access to your own system. We use open source technologies wherever possible so there are no proprietary dependencies to worry about either.
How we work
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UNDERSTAND
Before writing a line of code, we spend time understanding how your operation works - the workflows, the systems already in place, and where things break down. Most logistics businesses have dealt with developers who needed everything explained twice. We don't.
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AGREE
We produce a clear specification before development starts, with mockups where useful. You know exactly what we're building before we build it, and you can feed back before anything is committed to code.
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BUILD
We work in sprints and release working software in stages rather than disappearing for months. You're involved throughout, which means we catch issues early and can adapt when requirements change (as they do).
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GO LIVE
We plan deployments around your operational windows. Logistics doesn't stop, and neither do we! Our 7am–7pm day means we're available when you need us, including at go-live. Ongoing support and feature development continue from there.
Working with AI
AI tools are a normal part of how we build software: code assistance, automated testing, data processing. We've been using them for a while and we'll keep using them where they genuinely help. Like any tool, the question is whether it's the right one for the problem and whether it's been implemented properly.
There are real use cases for AI in logistics software, like processing unstructured carrier data, anomaly detection in track and trace, document parsing for compliance workflows, and predictive elements in routing and scheduling. When there's a genuine fit, we build it in to the same high standards we've always applied, and a clear picture of how it integrates with your systems and performs under load in a live environment. That still needs experienced developers who understand your business.
AI moves quickly, and it's not unusual for systems to get built faster than the governance around them. If you're integrating AI capabilities into a live operation, reviewing something that was built quickly, or just want an honest view of what you've got, we're happy to talk it through.