Aging infrastructure and buildings are becoming an increasing hazard – often unnoticed.
Damage develops gradually, remains invisible for a long time and ultimately leads to high renovation costs, failures or even safety risks. Today, there is a lack of reliable, continuous and data-based early detection.
Inspections are often still carried out manually, too infrequently and are expensive. The biggest problem is not the damage itself, but the lack of data to detect it at an early stage.
Aging infrastructure requires a new type of control.
Inspections should no longer be expensive, infrequent and blind.
The real problem: a lack of data for smart decisions.
detect early, before it becomes expensive
digital, automated, efficient
decisive data
We use drones, satellite data and AI to detect damage at an early stage and display analysis results for action.
We deliver structured data sets, reduce manual inspections and enable quick and reliable decision-making.
We provide transparent status information, assess risks and show development trends for precise planning and safe measures.
efficiency
transparency
safety
Condition assessment of large or difficult-to-access structures is quick and cost-effective — significantly faster than traditional manual inspection methods.
The condition of the infrastructure is digitally documented (high-resolution images, 3D models), enabling subsequent analyses, comparisons and informed decisions — maintenance, planning and budgeting become predictable.
Inspections are carried out by drone — without people in hazardous working environments, scaffolding or lifting platforms. Risks to people and materials are significantly reduced.
Comparison with conventional inspection methods
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valuable time savings |
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early detection of damage |
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digital status data |
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safety without on-site risks |
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predictable costs & measures |