Large technical systems accumulate decades of knowledge — why a change was made, how a fault was fixed — until it is buried in old emails and support tickets and no one can find it. Our AI reads that history and turns it into a living knowledge base your team can simply ask questions of, and it runs entirely offline so nothing leaves your control.
Our models read years of support tickets, emails and change history — learning how problems were actually diagnosed and fixed — and turn that scattered record into one structured knowledge base that keeps pace as your system evolves.
Instead of digging through documentation, your people describe a problem in their own words and get an answer drawn from how the system has really behaved over the years — complete with the source it came from.
In our fault-reporting systems, AI assesses the scale and risk of an issue straight from the evidence — estimating, for example, the size and severity of a pothole from a single photo — so the most urgent jobs are prioritised first.
Our AI runs entirely offline, on infrastructure you control. Nothing is sent to the large model providers, so there is no route for your commercial or operational data to leak out — the reassurance our customers ask for first.
It also respects your existing user levels. Sensitive commercial data stays visible only to the people already cleared to see it, so a single knowledge base can serve every level of your organisation without crossing the lines between them.
Tell us where your organisation's knowledge is trapped — the tickets, the emails, the people who still remember why. We'll show you how to make it searchable, useful and safe.