Analytics for process and discrete manufacturing
Digital twins, predictive maintenance and roadmap discovery. We start from the decisions that are expensive to get wrong, then work back to the data behind them.
Start with a discovery reviewWhat we take on
Strategic Discovery & Roadmap
We map where decisions get made on your site, which of them lack the data to be made well, and which are worth addressing first. The output is a prioritised roadmap with an order of work and an estimate against each item.
Predictive Maintenance
Catching defects and ensuring low false-positives is needed to gain trust in our models and also ensure adoption by the plant personnel.
Digital Twins & Simulation
Virtual models of a plant, a machine or a process, used to test a change before it touches production.
Production & Process Optimization
Tuning process parameters to cut waste and hold consistency batch to batch.
Quality Control & Inspection
Vision and sensor systems that detect, classify and diagnose defects on the line.
Planning & Scheduling
Sequencing, resource allocation and shift planning, including what the schedule does when a supplier misses a delivery.
Supply Chain & Inventory
Forecasting, sourcing and logistics efficiency.
Sustainability & Energy Efficiency
Metering energy use, emissions and waste at a resolution that supports a reduction target.
Operations & Workforce Support
Insight for operators and planners, plus safety monitoring.
How we engage
Engineering and analytics work runs on one of two models. Which one fits depends on how well defined the problem is when you start.
Fixed price
Delivery accountability sits with us. Right when scope, outcome and success metrics are already clear at the outset.
Managed / co-development
Accountability and ownership shared with your team. Better for discovery work, or where nobody can yet put a reliable estimate on time and resources. A number invented at that stage only gets renegotiated later.