Begin your journey by selecting one of the asset(s) categories below:
Twin of a geographically spread set of assets
Twin of a localised structure or facility
What stage most closely represents the lifecycle of your asset?
Early stages of the asset lifecycle such as feasibility studies, options analysis or business case development.
Commencement of engineering and architectural design.
Construction and Handover phase for new/refurbished assets.
The operational phase of an asset through to end of life.
What is the current data maturity of your asset?
Data that does not change on a regular basis, typically updated through manual import/export processes.
Data that is updated on a regular basis in an automated fashion. Examples could include data from IOT devices or web-services.
(AI / ML)
You use statistical, machine-learning (ML) or Artificial Intelligence (AI) methods to capture and help you understand historical data. You have tools which predict future events, or detect anomalies.
(AI / ML)
The ability to answer "what-if?", conditional questions about your asset using AI/ML tools. You can measure asset condition and performance in hypothetical scenarios. You can explore past and future asset behaviour under different conditions.