Structured data capture: that’s how KELPY works.

[Translate to English:] Touchscreen mit Diagrammen

Systematic management of knowledge

Systematic management of knowledge ensures that dependencies – once established – are applied throughout all further projects. This means the quality of decisions is improved at all stages and for all projects. The entire process is more transparent for everyone involved. The decision-makers thus have all information available, coupled with knowledge of the effects of actions.

[Translate to English:] Smart-Home-Temperaturregelung

Data evaluation across all phases of construction and operation

Construction doesn’t have to be prototyping every time, only when it is really essential. Everything that has been shown to work in previous projects is able to prove its worth in the future. The difficulty lies in discovering how well a technique works. That can be determined only by data evaluation across all phases of construction and operation. This information allows the best solutions from all the previously performed projects to be brought together.

[Translate to English:] Erfolgreicher Projektabschluss

Investing efficiently

Nor is this measured against any rigid pre-defined criteria, but by the effective requirements defined by the customer. The system can be scaled up to a practically unlimited extent and can be applied either just to a single building or across the whole portfolio or even an entire canton.

[Translate to English:] Ewigkeitssymbol Lebenszyklus

The optimum solution – for technical execution and in operation

Project decisions that deviate from the demands for use are immediately visible. Thus during design and planning, there is available not only the digital twin but also a “single source of truth” which is continually updated as circumstances change.

The process used means that only minimal information is required in order to determine exactly what benefits each investment can offer. This can be done for instance in relation to the reduction in greenhouse gas emissions during the operational phase, to define feasible paths for reductions in CO2.

Of course this structure also permits conclusions to be drawn regarding the feasibility of investments in relation to operating costs, maintenance demands, grey energy, space requirements, due dates etc.