Services
11 · 4 stages
From sensors that capture real operating conditions to the applications that put results in front of the people who act on them. Commission one service or the whole chain.
Stage 01
Hardware and instrumentation that capture real operating conditions with known accuracy.
04
Develop the hardware that connects intelligence to the physical world
Electronic architecture, analogue and mixed-signal design, PCB development, firmware, prototyping and production readiness.
Read more05
Measure what matters to performance and reliability
Measurement strategy, sensor selection, data acquisition, calibration, condition monitoring, sensor fusion and lifecycle support.
Read moreStage 02
Signal processing and data engineering that turn raw records into trustworthy, traceable information.
02
Build a dependable foundation for analysis
Data inventories, pipelines, time-series storage and the integration of business records, machine data and sensor measurements.
Read more06
Extract meaningful information from complex signals
Filtering, spectral and time-frequency analysis, feature extraction, fault signatures, state estimation and multisensor interpretation.
Read moreStage 03
Data science, applied mathematics and simulation that explain behaviour and anticipate what comes next.
01
Understand behaviour and anticipate outcomes
Predictive modelling, forecasting, anomaly detection, computer vision and grounded generative AI for operational and commercial decisions.
Read more03
Turn complex problems into models that can be evaluated and solved
Optimisation, decision-making under uncertainty, statistical inference, dynamical systems, inverse problems and scientific computing.
Read more08
Evaluate changes before committing resources
Physics-based, data-driven and hybrid models, discrete-event simulation, calibration, digital twin architecture and scenario analysis.
Read moreStage 04
Control, applications, advisory and support that put results into everyday decisions and keep them useful.
07
Bring analysis closer to the equipment and decisions it supports
Analytics on edge devices, controller design and tuning, PLC and SCADA integration, hardware-in-the-loop testing and safe automation.
Read more09
Put technical capability into everyday workflows
Decision-support applications, dashboards, APIs, integration with enterprise and supervisory systems, and deployment architecture.
Read more10
Establish feasibility and develop a sound direction
Maturity assessments, feasibility studies, roadmaps, architecture reviews, independent review and proof-of-concept development.
Read more11
Keep solutions useful as conditions change
Release management, monitoring of data quality and model performance, retraining, incident investigation, governance and training.
Read moreContact
You may have a defined project, an underperforming process or a technical question that needs investigation. We can help assess the challenge, identify the information required and define an appropriate next step.