Autonomous energy orchestration for electrified industry.
Energy LIFT coordinates industrial production, electrified process heat, thermal storage, batteries, onsite renewables and grid constraints to create feasible and cost-efficient operating plans.
Industrial electrification creates a coordination problem.
- Electric heat pumps
- Electric boilers
- Thermal storage
- Batteries
- Onsite renewable energy
- Production schedules
- Heat demand
- Electricity prices
- Grid capacity
- Equipment constraints
Optimizing them independently can increase cost or create new grid peaks.
One intelligence layer for industrial energy.
Energy LIFT creates a 24-hour operating plan that jointly coordinates:
Forecast heat demand, electricity demand, renewable generation and energy conditions.
Calculate the lowest-cost feasible operating schedule while respecting production and equipment constraints.
Re-optimize when production, electricity prices or grid conditions change.
Provide operators with transparent reasons for every recommendation.
From plant signals to a feasible plan.
Initial target industries
Starting with low- and medium-temperature industrial process heat.
What Energy LIFT measures and improves
KPI categories only. Savings will be reported after industrial pilot validation.
Prototype / MVP under simulation-based testing
Energy LIFT is currently being developed and tested using a simulated industrial plant and public energy data.
Next stage: Industrial pilot validation.
- 24-hour energy optimization
- Industrial heat coordination
- Thermal storage scheduling
- Grid-constraint management
- Scenario simulation
- Decision explainability
Energy LIFT is being developed as an early-stage industrial energy and AI venture focused on making industrial electrification economically and operationally viable.
MBA in Sustainable Mobility Management at TU Berlin, with experience in logistics, operations, business development and energy/mobility innovation.
Interested in testing Energy LIFT?
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