Data- and AI-based assessment. DME combines plant data, digital twins and IoT condition monitoring to assess desalination and water assets faster, more objectively and continuously.

How DME uses it
- AI-assisted technical and commercial evaluation
- Plant digital twins
- IoT condition monitoring
- Operating data via desaldatalog into DESALFACTS, evaluated by DME
AI, IoT and data across the water lifecycle. The PIM Group turns operating data into decisions: captured in the field (desaldatalog), organised and analysed with AI (DESALFACTS), assessed independently (DME), engineered into smart connected plants (WH2O) and traced through the circular loop (MemRe). One digital thread, one group.
The group data engine: DESALFACTS
Where machines build, engineers design, and experience delivers.
- Machines build. AI generates, computes and delivers speed and volume. It is a tool, not an author.
- Engineers design. We give it structure, method and verifiability - our classifications and benchmarks are human work.
- Experience delivers. The selection, the judgement and the responsibility stay with people who have run and assessed plants.
That is why nothing leaves this house unchecked.
