AI on the manufacturing line
Operations and engineering leadership in manufacturing
Context
Factory AI fails when it is treated as a software project. The line has physics, shifts, safety cases and machines that predate the cloud. Our implementation work starts on the floor: understanding the process as it actually runs, then fitting AI and robotics into it without stopping production.
What it does
- Machine vision and automated inspection integrated at line speed
- Robotics cells specified, integrated and commissioned around existing processes
- AI-driven monitoring that feeds the systems operators already watch
- Integration with existing PLCs, MES and line equipment rather than replacing them
How it is built to behave
- Named client work in this area is under NDA; we describe the shape of the work, not the customers
- Safety and operator workflow come before model performance in every deployment decision
- Handover includes training the operating team, delivered with our sister company Experrt
More work
Kumo
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An HR platform with an agentic AI colleague that executes HR work rather than suggesting it: hiring, payroll, leave, performance and learning, with a full execution log behind every action.
Saint AGI
Agentic AI platform
Role-specific AI agent teammates for finance, sales, recruiting, marketing, support and operations, plugged into the tools a business already runs on, with approval gates and audit trails built in.
Qeemly
Compensation intelligence
Real-time salary benchmarking for the UAE and GCC, built on anonymised data from companies in the region, replacing payroll guesswork with live market-backed pay ranges.
Tell us what you want to build
A short conversation about the problem is free, useful and without obligation. We will tell you honestly whether we are the right team for it.
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