Work
12
Representative engagements across the eleven services and six sectors. Each one shows the decision at stake, the measurement and modelling it needed, and what changed.
A representative engagement. The figures are indicative of typical outcomes for this kind of work and are not drawn from a named client.
Vibration and motor-current sensing on gearboxes and main drives, fused with process data, gave maintenance teams three to six weeks of warning before bearing and gear faults.
A line-scan camera station with controlled lighting and an edge inference unit now grades surface defects at full line speed, replacing sampled manual inspection.
Hourly forecasts with calibrated uncertainty bands replaced spreadsheet estimates, so the dispatch team now commits plant and purchases balancing energy against a stated confidence level.
A hydraulic model and a mixed-integer optimiser schedule pumps against tariff periods and reservoir constraints, cutting energy cost while keeping storage within agreed limits.
Strain, acceleration, displacement and temperature sensing with custom acquisition nodes gives the structural engineer a modal and strain history that separates traffic and thermal effects from real change.
Metering, building management and weather data were unified for 27 buildings, and calibrated building models now rank retrofit options by verified saving rather than by estimate.
A vehicle routing optimiser with time windows, vehicle types and driver rules produces daily plans that planners adjust, reducing kilometres and overtime while keeping delivery windows.
A custom acquisition and processing node, from schematic to verified prototypes, measures vibration and temperature on equipment where off-the-shelf devices had failed, and computes indicators locally.
A simulation calibrated to machine event logs showed where throughput was really lost and let management test buffer, speed and maintenance options before buying a new filler.
Soil moisture profiles, weather and satellite imagery feed a water-balance model that recommends irrigation per block, validated against yield and water use over two seasons.
A structured feasibility study with a short measurement campaign told the client which compressors justified monitoring, which sensors to use and what the programme would cost, before any vendor was engaged.
Contract, work-order and invoice data were reconciled, and an anomaly model now flags unbilled work and pricing errors for review each week, with a governance process for the model itself.
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