Myrspoven offers an AI‑driven energy optimization platform that continuously ingests building telemetry, weather forecasts, occupancy data, and utility tariffs to generate real‑time control set‑points for HVAC, heating, cooling, and district energy systems. By integrating bidirectionally with existing BMS/SCADA infrastructure, the solution reduces electricity, heating, and cooling consumption by up to 25% while maintaining indoor comfort, helping commercial property owners lower operating costs and carbon emissions.
Funding
$5.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
1O4VEFounders
Product
Problem
Commercial buildings consume a large share of global electricity and heating energy, contributing up to 40% of CO₂ emissions. Property owners often rely on static building management systems that cannot adapt to real‑time occupancy, weather, or tariff changes, leading to unnecessary energy waste and higher operating costs.
Solution
Myrspoven provides an AI‑driven energy optimization platform that continuously reads data from a building’s management system, weather services, occupancy sensors, and utility tariffs. Its core engine, myCoreAI, generates a bespoke control algorithm for each property and updates set‑points every 15 minutes, dynamically steering HVAC, heating, cooling, and district energy systems to operate at minimal cost while maintaining indoor comfort. The platform integrates bidirectionally with existing BMS/SCADA systems, stores performance data in a cloud database, and offers real‑time dashboards that show energy savings, comfort metrics, and carbon reduction. By turning buildings into flexible energy assets, Myrspoven helps owners lower electricity, heating, and cooling consumption by up to 25 % and supports compliance with emerging European energy efficiency directives.
Target Audience
Primary customers are commercial real‑estate owners, property managers, and facility‑operation teams of office, retail, and mixed‑use buildings seeking to reduce energy costs and meet sustainability regulations.
Features
- myCoreAI AI engine that ingests building telemetry, weather forecasts, occupancy patterns, and tariff signals to compute optimal HVAC and energy set‑points
- Two‑way integration with existing BMS/SCADA systems, enabling read/write control without replacing legacy hardware
- 15‑minute optimization cycle with continuous performance monitoring and the ability for operators to override decisions
- Cloud‑based data repository and real‑time dashboard delivering energy performance insights, savings verification, and comfort analytics
- Scalable architecture supporting multiple buildings in a portfolio and linking to a digital trading platform for demand‑response participation
- Proven savings of up to 25 % electricity, 20 % heating, and 20 % cooling in deployed pilot sites