Use better operating windows
Identify periods that may be more suitable for flexible energy use.
Energy intelligence for municipalities and energy communities
Use energy when local conditions make the most sense.
EnvoPulse combines grid, weather, Earth-observation and site data to help public buildings and energy communities plan flexible demand around changing energy conditions, then build traceable evidence of what changed.
In development for pilot validation in Germany. No proprietary client hardware is required by design; integration remains site-dependent.
Grid conditions
Weather and Earth-observation context
Site meters and connected assets
Traceable reporting
Static schedules ignore changing energy conditions.
Energy availability, weather and grid conditions change throughout the day. Many buildings, chargers and other flexible loads still run on fixed schedules. This creates avoidable mismatch between demand and favourable energy windows, while making it difficult to explain which actions produced which results.
Coordinate flexible loads
Turn energy signals into recommended schedules or integration-ready actions.
Keep traceable evidence
Retain source references, assumptions and measured site data where available.
One decision cycle, from signal to evidence.
Observe, predict, act, measure and prove in a single workflow that stays readable without relying on product screenshots or live data.
EnvoPulse workflow: Observe, Predict, Act, Measure and Prove.
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01 Observe
Combine grid, weather, Earth-observation and site inputs.
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02 Predict
Estimate relevant operating windows and changing conditions.
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03 Act
Recommend or coordinate flexible demand within agreed constraints.
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04 Measure
Compare expected and observed site behaviour.
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05 Prove
Document inputs, actions, assumptions and outcomes.
Built for local energy operators.
Municipal buildings
Explore scheduling for HVAC, lighting, EV charging and other controllable loads.
Energy communities
Align flexible demand more closely with local renewable availability.
Selected operational sites
Assess site-specific energy scheduling, integration and evidence workflows.
Different data sources answer different questions.
Grid and market data describe electricity-system conditions. Weather and solar inputs provide renewable and short-horizon context. Earth-observation data can support selected monitoring and provenance workflows. Site meters and connected assets provide the primary evidence of local operation and outcomes.
Grid and market data
Describe electricity-system conditions.
Used as context for timing decisions, not as a guarantee of outcome.
Weather and solar inputs
Provide renewable and short-horizon context.
Inputs and usefulness depend on the selected site and decision horizon.
Earth-observation data
Can support selected monitoring and provenance workflows.
Not direct proof of avoided emissions at building level.
Site meters and connected assets
Provide the primary evidence of local operation and outcomes.
Availability and integration remain site-dependent.
Built transparently, validated step by step.
EnvoPulse is in development. Capabilities are labelled by maturity, and future functions are not presented as available. Public progress updates appear only when there is dated evidence to support them.
- In development - energy condition intelligence
- In development - flexible-load scheduling
- In development - traceable energy and emissions evidence
- Planned / site-dependent - selected asset integrations and tamper-evident event logging
Developed by ZenithPulse GmbH.
EnvoPulse is developed and provided by ZenithPulse GmbH. Gerardo Fasulo, CEO, and Luca Colombi, CTO, combine business and operational execution with software, data and IoT leadership.
- Gerardo Fasulo
- CEO / Co-Founder
- Luca Colombi
- CTO / Co-Founder