Technology
Seven layers between a signal and a decision.
Each layer has a job. None of them is the product on its own — the product is what they produce together, and which layers a given system uses is decided by the problem it has to solve.
The layers
- Data
- Analytics
- Machine Learning
- Artificial Intelligence
- Generative AI
- Intelligence
- Action
Performance framework
From signal to action.
- 01
Data
Operational information collected from the systems, equipment and records that already exist in the operation.
- 02
Analytics
Structure and context. Raw signals become quantities that can be compared across time, lines and sites.
- 03
Machine Learning
Models learn the patterns that precede known conditions, and flag when the operation departs from them.
- 04
Artificial Intelligence
Relationships across separate parts of the operation are interpreted together rather than one dashboard at a time.
- 05
Generative AI
Operational knowledge becomes searchable in natural language, so context is available to whoever needs it.
- 06
Intelligence
The output that matters: an accurate, current reading of how the operation is behaving and why.
- 07
Action
A decision taken, an intervention scheduled, a parameter changed — the point where intelligence becomes performance.
Engineering
What the platform is built on.
Competences we apply. Specific architectures and models are discussed under agreement, not published.
- Artificial Intelligence
- Machine Learning
- Advanced analytics
- Real-time data
- APIs
- Data integration
- Data engineering
- Predictive models
- Cloud
- Edge
- Security
- Industrial connectivity
Principles
How we decide what to build.
- The problem selects the technology
- Each system applies only the technology layers required by its operational context. A layer earns its place by answering an operational question, not by being current.
- The simplest model that holds
- A model is chosen for the reliability of its answer in the operation, not for its sophistication on paper.
- Explainable where it matters
- When a system supports an operational decision, the person taking that decision has to be able to see why it was suggested.
- Designed to be integrated
- A platform that cannot exchange data with the systems an operation already runs will not be adopted by it.
Technical due diligence.
Architecture, integration and models are discussed in depth under a confidentiality agreement.