A digital twin isn't just a 3D model. It's a live system that mirrors the reality of your operation in real time, and lets you predict failures, optimize costs and make decisions based on data, not gut feeling.
We do automation in four areas:
- Smart cities, cities and municipalities (traffic, waste, air quality, parking)
- Industry, manufacturing, warehouses, technological halls (OEE, predictive maintenance)
- Energy, smart grid, monitoring of distribution points, consumption optimization
- Buildings, smart buildings, HVAC, access systems, energy management
Typical assignments we handle
- Smart city, monitoring of municipal equipment, containers, parking lots, air quality sensors, traffic counting (often combined with TechTower for locations without infrastructure). AI prediction of pickup or occupancy = no half-empty waste collection runs and no overflowing stations.
- Digital twin of a production line, real-time OEE dashboard, alerts when drifting outside tolerance, predictive maintenance. The team sees the problem hours before the failure, not after.
- Monitoring of energy distribution points, continuous sensing of transformer temperature, switchboard humidity, battery status. Eliminating planned outages through predictive servicing.
- Pharmacy IoT and cold storage warehouses, continuous temperature measurement with ŠÚKL-compliant export (more in Pharmacy IoT).
- Building automation, HVAC optimization, access control, energy analytics for multi-tenant buildings.
Concrete results depend on the starting point, typically we see 15–40% savings in tracked cost items (energy, maintenance, unproductive time) after the first year of operation.
What it takes to start
Sensors + a few hours of our integrators in the field. The KALM:IT platform is already running, no need to build new infrastructure, just connect your devices.
The first dashboard is typically visible within 2 weeks of signing.
Want to know where your biggest hidden losses are?
We'll send you an AI agent that asks you about your operation and generates an estimate of use-cases with the highest ROI.