Concrete problems, concrete outcomes
Each example is structured as problem, solution and expected operational or financial impact.
The Energy Manager pulls data from multiple systems and manually combines it into reports.
Connects measurements, calculates KPIs and automatically prepares trends and recurring reports.
Less manual work, faster reporting and more time for optimization.
Power exceeds the desired limit, but it is unclear which loads caused the peak.
Connects the main meter, submeters, generation, battery and tariff data.
The Energy Manager understands the cause faster and acts before additional costs occur.
Electricity, water or heat costs must be manually allocated each month across tenants or cost centers.
Connects measurements, price lists, tariffs, locations, tenants and allocation rules.
Faster billing, fewer errors and transparent cost allocation.
Maintenance is reactive and the team responds only after an incident occurs.
Combines asset measurements, alarms, events, maintenance history and documentation.
Faster anomaly detection, better prioritization and shorter response time.
Savings from a renovation or energy performance contract are calculated in spreadsheets, disputed by the client and hard to verify across a portfolio of buildings.
Compares actual consumption with an agreed baseline model, calculates savings, CO₂ reduction and the contractual compensation split, and gives the ESCO, its technicians and each client their own view.
Transparent monthly M&V reporting, earlier warning when a building drifts from plan, and one shared version of the truth for the contract.
Data centers, telecom sites and hospitals depend on generators, UPS units and batteries that are tested rarely and fail exactly when mains power is lost.
Monitors the full power chain: mains, ATS, generator readiness and fuel, UPS load, battery health and runtime, and room cooling, with alarms and service tasks for the field team.
Weak batteries, low fuel or a failed start test are visible weeks in advance, and service partners can plan replacements instead of reacting to outages.
SmartTwin across industries
Every industry starts from a different question. SmartTwin adapts to its data sources, users and the outcome that matters.
Energy costs, kWh per product, peaks, machine status, downtime and maintenance.
Key question:Which asset or production line is causing the deviation?
Consumption by buildings and tenants, utility billing, shared energy systems and infrastructure.
Key question:How can we automate and audit monthly billing for 30 tenants?
Building portfolios, HVAC, costs, documentation, incidents, maintenance and ESG data.
Key question:Which building deviates most from expected consumption, and why?
Digital service for monitoring, proving results, reporting and customer support.
Key question:How can we prove value long-term after implementation?
Central monitoring, alerting, locations, assets, data history and On-Premises deployment.
Key question:How do we connect distributed infrastructure into one operational view?
Automated data collection, carbon footprint calculation and ESG reporting without manual data transfer.
Key question:How can we automate carbon and ESG reporting so it is accurate, comparable and audit-ready?
Generators, UPS, batteries, cooling, PUE, site alarms and field service across many remote sites.
Key question:Will backup power and cooling hold at every site during the next outage?
Schools, kindergartens, sports halls and offices, renovation results, comfort, energy contracts and public reporting.
Key question:Are our renovated buildings delivering the savings we paid for?
Herd and field data, laboratory results, quality thresholds and research datasets linked to animals, farms and locations.
Key question:How do we turn periodic lab and control data into early warnings and research-ready insight?
