About Background
Background didn't begin with AI. It began with years spent delivering construction and infrastructure projects. Watching the same problems appear. Watching them arrive late. And wondering why organisations that already knew so much still found themselves reacting to things they could have influenced earlier.
Why Background exists
Projects already generate enormous amounts of information. Programmes. Reports. Permits. Meetings. Inspections. Emails. Camera feeds.
The challenge is rarely collecting information. The challenge is making sense of it while there is still time to act.
Background exists to help organisations understand what is happening, what it means, and who needs to know.
Where Background comes from
Background was built by people who spent their careers delivering projects. On the contractor side. On the subcontractor side. Across construction and infrastructure. Inside live projects where delays, obligations and decisions have real consequences.
Not from a case study. Not from a training dataset. From experience.
What that means
Different sectors. Different clients. Different teams. The same challenges appear again and again. Background was built around those realities — not to replace the people delivering projects, but to help them see more clearly, act earlier, and retain more of what they learn.
Our approach
Background is designed to help people make better decisions, not replace them. It provides context. It provides evidence. It provides traceability. The decision remains human. The responsibility remains human. The outcome remains human.
What Background is for
That is the purpose of Background.
Next step
The principles are easy to explain. They're more useful in practice. Walk through a real scenario and see how Background moves from observation to action.