MTK Energy
The problem it addresses
Why energy data rarely supports decisions
In MTK services
MTK Energy across the service lines
| Service line | Stage | How it is used |
|---|---|---|
| AI Strategy & Transformation | Plan | Energy KPIs for the roadmap Energy per unit of output and other reference KPIs give an energy roadmap a tested starting point. |
| Applied AI & Agents | Pilot | An energy pilot Monitoring or forecasting is piloted on one site's meter data, with consumption measured before and after. |
| Applied AI & Agents | Scale | Rollout across sites The same model and reports are extended site by site, with each new site added to one comparison. |
| Cloud & Managed AI Operations | Operate | Ongoing monitoring Models are retrained as equipment, tariffs and production change, and reports are prepared on the client's schedule. |
Components
What MTK brings to an energy project
MTK Energy is assembled for each project from components MTK maintains, then configured on the client's meters and systems.
Runs on
MTK Intelligence
- Data foundation
- Business ontology
- Governed AI agents
Related use cases
Use cases on MTK Energy
Ownership and deployment
What the client owns and where it runs
FAQ
Questions about MTK Energy
Why does a services company build an energy accelerator?
Is MTK Energy a ready-made product?
Does MTK Energy make our reports compliant?
What data does an energy project need?
An energy pilot on one site
Start with one site's meter data, agree one measure and see the result before rolling out to other sites.