
Tilt
Energy management and demand response services for utilities and buildings.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
investor | €0.0 | round | |
* | €5.0m | Seed | |
Total Funding | 000k |
Tilt Energy is a forward-thinking startup focused on optimizing energy consumption in real-time. The company operates in the renewable energy market, primarily serving clients who are looking to integrate electric vehicles, solar panels, and other self-consumption technologies into their energy systems. Tilt Energy's primary clients include smart building operators and prosumers—individuals or businesses that both produce and consume energy.
The core of Tilt Energy's business model is its demand response programs. These programs adjust the consumption of electrical equipment in real-time to ensure that electricity is consumed locally and from renewable sources. By doing so, Tilt Energy helps its clients save money and create new revenue streams. For instance, smart buildings can leverage technologies like smart thermostats, heat pumps, and HVAC systems to interact with the grid more efficiently. Prosumers can maximize their return on investment by charging when electricity is green and cheap.
Tilt Energy makes money by offering its platform as a service to clients. The platform is hardware-agnostic, meaning it can connect to any user's existing equipment. This flexibility allows clients to bring their own data and users, making the integration process seamless. The company uses machine learning to adjust electric consumption based on real-time energy supply, price, and weather conditions. This not only helps in achieving CO2 and cost savings but also supports Europe's path to net zero by matching electricity demand with renewable production.
In summary, Tilt Energy is revolutionizing how energy is consumed and managed, turning complexity into opportunity for savings and revenue.
Keywords: renewable energy, demand response, smart buildings, prosumers, real-time optimization, machine learning, energy savings, CO2 reduction, hardware-agnostic, Europe.