Solutions
Start from the problem you are responsible for.
Each solution states the losses it addresses, what we build, the data required, the implementation steps, the timeline and the starting investment.
Reduce unplanned downtime
Most sites already record their stoppages. Far fewer can say, with evidence, which assets and which recurring causes are costing the most money this quarter — or prove that the actions taken actually removed the loss.
- Timeline
- Diagnostic in 10 business days; deployment normally 6–8 weeks
- Cost
- Fixed fee, quoted after scoping
Improve production and OEE
OEE is widely reported and rarely trusted. When availability, speed and quality losses are measured differently by line, shift or site, the number stops driving decisions.
- Timeline
- Normally 6–8 weeks
- Cost
- Fixed fee, quoted after scoping
Lower energy costs
Energy is usually managed at the meter and the invoice. The decisions that actually change consumption happen at the asset, the product changeover and the shift.
- Timeline
- Normally 6–8 weeks
- Cost
- Fixed fee, quoted after scoping
Reduce defects, waste and rework
Quality data is often complete but disconnected: inspection results in one system, process conditions in another, and the cost of rework nowhere at all.
- Timeline
- Normally 6–8 weeks
- Cost
- Fixed fee, quoted after scoping
Improve inventory and supply-chain decisions
Inventory decisions are made against cost targets; the consequences land in production. Connecting the two is what changes the decision.
- Timeline
- Normally 6–8 weeks
- Cost
- Fixed fee, quoted after scoping
Automate reporting and workflows
Skilled people spend hours each week assembling reports from spreadsheets. The output is late, inconsistent and impossible to audit.
- Timeline
- Normally 6–8 weeks
- Cost
- Fixed fee, quoted after scoping
Preserve frontline knowledge
The most valuable operating knowledge on a site is rarely written down. It leaves with retirements, shift changes and turnover.
- Timeline
- Normally 6–8 weeks
- Cost
- Fixed fee, quoted after scoping
Connect fragmented operational data
Very few industrial problems are caused by missing data. They are caused by data that never meets: maintenance in one system, production in another, cost in a third.
- Timeline
- Diagnostic in 10 business days; deployment normally 6–8 weeks
- Cost
- Fixed fee, quoted after scoping
Identify the right industrial AI opportunities
The question is not whether industrial AI can help. It is which problem, at which site, with which data, in what order — and what each one is worth.
- Timeline
- 10 business days
- Cost
- Fixed fee, quoted after scoping
Build a custom industrial AI system
Some requirements are specific to your process, your product or your organisation. Those are built, not configured.
- Timeline
- Normally 8–16 weeks
- Cost
- Fixed fee, quoted after scoping
Find the right starting point for your operation
Answer five questions and we will tell you which engagement fits, what it costs, how long it takes and what we need from you. Or book a complimentary 30-minute fit consultation.