Yield and throughput
Trajectory models that show operators how the current batch compares to the best historical runs, early enough to intervene.
Industry
Advanced industries
Automotive, aerospace, chemicals, machinery, and the plants that make everything else.
Where we start
Advanced industries carry the heaviest capital intensity and the thinnest tolerance for unplanned variation of any sector we serve. A single point of yield or an hour of unplanned downtime moves the annual result.
AI changes the economics here not by replacing automation, which is already deep, but by learning from the data the plant already produces: process trajectories, maintenance histories, quality outcomes, and the tacit knowledge of experienced operators.
Our work typically starts with one asset class or one production line, proves the value against a measured baseline, and then scales through a standard operating pattern rather than a new project each time.
Typical results
- +4.6 pts
- first-pass yield, specialty chemicals client
- -22%
- unplanned downtime across 6 plants
- 9 months
- from first pilot to group standard
Illustrative client outcomes, representative of engagements in this sector.
Talk to this practiceHow we help
Maintenance and reliability
Condition models that convert calendar-based maintenance into risk-based intervention, with the cost of each decision visible.
Engineering productivity
AI-assisted design, simulation, and documentation workflows that cut engineering hours per change.
Capital allocation
Portfolio models that re-rank capex options as input costs, demand, and technology assumptions move.
Evidence
What this looks like in practice
- +4.6 pts
- first-pass yield, specialty chemicals client
- -22%
- unplanned downtime across 6 plants
- 9 months
- from first pilot to group standard
Related insights
Case study
Industrial AI: the factory floor as a learning system
A specialty chemicals producer lifted first-pass yield by 4.6 points by treating every batch as a training example — with operators in the loop, not out of it.
15 May 2026 · 8 min read
Report
From pilots to P&L: why 70 per cent of AI use cases stall, and what unsticks them
Pilot purgatory is rarely a modelling problem. It is a measurement, ownership, and integration problem — and all three are fixable inside a quarter.
30 September 2026 · 9 min read
Next step
Bring us your advanced industries problem
A ninety-minute working session is usually enough to agree the baseline, the owner, and the first evidence gate.