Nrlyze
Nrlyze provides an AI-driven platform that continuously analyzes, identifies, and corrects faulty settings and hydraulic imbalances in multi-family building heating systems. The system uses proprietary algorithms to optimize heating performance across heat pumps, electricity, and district heating, achieving up to 20% reduction in heating costs and CO2 footprint. The platform includes wireless mesh sensors with a 10-year battery life that install in about one minute per apartment.
- Clean Technology
- Internet of Things
- Energy
- Property Technology
- Artificial Intelligence
- Hardware
- Software Only
- Data & Analytics
Funding
Raised to date
SEK 15MRaised 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.
Est. $1.4M$950K across 1 disclosed round
SEK 10M · Seed
Announced Aug 2025 · from article date
Disclosed cumulative: $950K
Reported total $1.4M
Incomplete round history. $475K of the $1.4M reported total isn’t matched to a known round.
Founders
Founder details are not available yet.
Product
Problem
Heating systems in multi-family buildings often suffer from incorrect settings and hydraulic imbalances, leading to significant temperature variations between apartments and unnecessary energy waste. Property managers frequently lack the tools to identify these issues, resulting in higher heating costs, tenant discomfort, and avoidable carbon emissions.
Solution
Nrlyze provides an AI-driven platform that continuously analyzes, identifies, and corrects faulty settings and imbalances in a building's heating system. The system uses proprietary algorithms to optimize heating performance across different heat sources including heat pumps, electricity, and district heating, achieving up to 20% reduction in heating costs and CO2 footprint. Nrlyze offers a comprehensive suite of services including real-time temperature monitoring, automatic calibration of heating curves, performance tracking, and ongoing coaching to ensure sustained efficiency gains. The platform enables property managers to make data-driven decisions rather than relying on guesswork, with objective, fact-based insights that support both immediate corrections and long-term improvements.
Target Audience
Primary customers are housing cooperatives (BRF), property management companies, and facility managers responsible for multi-family residential buildings seeking to reduce heating costs and improve indoor climate comfort.
Features
- AI-based algorithms that automatically detect and correct heating system misconfigurations and imbalances
- Automatic calibration of heating curves based on outdoor temperature, solar radiation, and humidity, around the clock
- Wireless sensors with unique mesh technology that are easy to install in about 1 minute per apartment, relocate, and expand without complex wiring
- 3D building model visualizing temperature deviations floor by floor, with the portal suggesting probable causes such as facade, pipes, or heating system issues
- Portfolio overview with scores and temperature distribution per building, auto-sorting to highlight properties needing the most attention
- Performance module comparing energy consumption before and after efficiency measures, degree-day corrected, in kWh, currency, and CO₂
- Journal and case management where deviations become cases with property logs, sensor logs, and support in the same thread, with history following the property
- Open REST API (BRICK schema) and MQTT support, allowing property owners to access and download all collected data; existing sensors can be integrated
- 10-year battery life with replaceable standard AA batteries