Built in Sheffield for the awkward reality of production.
Machines of different ages. Manual work no system can see. MES, ERP and spreadsheets that each hold a different part of the truth. Razor brings industrial integration, software, data and AI together around the production problem.
From a production problem to a supported working solution.
Razor is a Sheffield technology company grounded in UK manufacturing. The job is not to hand over another licence. It is to understand the process, connect what already exists, build what is missing and support the result in production.
If it can't be measured, it can't be improved
We pull data from modern PLCs, from older machines by reading their control signals, from manual processes via computer vision, and from third-party sensors. Every process worth measuring gets measured.
Tools for the floor, not a stick to beat it with
Operators get the same access to insight as management. We're not here to replace people with AI. We are here to make them superhuman, and give everyone the data to do their job better.
Prove the case before you scale it
Razor agrees one owned operational problem, a baseline and a success measure first. DataQI is configured around that scope; expansion follows evidence, not optimism.
Manufacturing engineers who build software, not the other way round.
The people leading this work came out of mechanical engineering, control systems and the AMRC, not out of a software house. It is why the awkward parts of an operation get treated as the problem to solve rather than an exception to apologise for.
Patrick Murray
VP of Product
“I came to data through mechanical engineering and time at Rolls-Royce, not the other way round. Since then I have worked on the Factory+ open framework with the University of Sheffield AMRC: how a factory’s data should actually be structured, before anyone builds a dashboard on top of it.”
Murray on LinkedIn
Dr Shiv Gangapersad
Data Scientist
“My doctorate is in control and systems engineering, and I spent it building computer vision for digital manufacturing. Before Razor I was a KTP associate at the AMRC and a manufacturing data analyst at CW Fletcher, measuring real production on a real shop floor.”
Gangapersad on LinkedInBehind them, a Sheffield team of engineers, data scientists and developers, working with the University of Sheffield AMRC on the Factory+ open framework.
“When the CEO rings me and says, ‘We thought we could do it 20 times quicker but have worked out a way to process it 4,000 times quicker’ that’s when you know you have partnered with the right guys.”Ben Morgan · CEO · Advanced Manufacturing Research Centre (AMRC)
Discuss a production problem.
Bring one line, one cell or one manual process. Leave with a practical next step.
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