Sustainability · Technology · Responsibility

For people.
For generations.

We develop technical systems and places to live with a commitment to using resources wisely and shaping the future responsibly – across countries and generations.

Cyprus · Austria International in outlook.

Smiling people of different generations and skin tones in a sunny landscape with forest, fields and a river – AI-generated symbolic image
One shared future.We are one human family.

Our current focus

Four systems.
New possibilities.

For infrastructure, winter sports, energy and water. Explore our development concepts and opportunities for pilot projects.

Sustainability is our commitment

Developing today. Thinking of tomorrow.

A healthy environment, available resources and places worth living in unite us as a human family. Progress should serve people – today and for generations to come.

1713

An idea rooted in the forest

Saxon mining administrator Hans Carl von Carlowitz set out the principle of sustained use in “Sylvicultura oeconomica”. Put simply: harvest no more timber than the forest can regrow. He is regarded as a founder of the forestry principle of sustainability.

German Environment Agency · History (source, new tab)
Today

Our benchmark at LCG

We see environmental protection, social responsibility and economic viability as connected. We aim to consider technology from materials and operation through to repair and reuse.

Using modern technology responsibly

AI as a tool for conserving resources.

Artificial intelligence opens new ways to understand complex relationships and use resources more precisely. Three examples illustrate the potential:

The overall footprint matters. AI itself consumes electricity and resources. Its benefits must be assessed for each application, including the demands of data centres and hardware. Efficiency alone does not make an application sustainable. BMUKN (source, new tab)

Responsibility remains with people.

For RailGUARD, AlpSNOW, EnergyCELL and BlueVANTAGE, our ambition is to assess resource needs early, aim for durable solutions and verify improvements in pilot projects. AI support is a possible development path; professional judgement and responsibility remain with people.

General application examples and LCG development objectives. They do not represent demonstrated savings achieved by our systems.