Monava AB develops Early-Warning Systems (EWS) that utilize AI, signal processing, and vibrational data to monitor and detect avalanches and rock falls. Their technology provides timely alerts and precise localization, enhancing safety in environments prone to these geological hazards.
Funding
SEK 5M 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.
Founders
Product
Problem
Avalanches and rockfalls pose significant risks in mountainous regions, endangering infrastructure, transportation routes, and human lives. Traditional monitoring methods often lack the real-time precision needed for timely warnings and effective mitigation strategies. The unpredictable nature of these events necessitates advanced detection systems that can provide early alerts and accurate location data.
Solution
Monava AB offers an Early-Warning System (EWS) that leverages acoustic signal processing and machine learning to detect and monitor avalanches and rockfalls. The system analyzes vibrational data captured by specialized sensors to identify the unique signatures of these geological hazards. By continuously monitoring the environment, the EWS provides timely alerts, enabling proactive safety measures and minimizing potential damage. The technology's precise localization capabilities allow for targeted responses and efficient resource allocation.
Target Audience
The primary target audience includes infrastructure operators (e.g., transportation authorities, energy companies), mountain resorts, and government agencies responsible for public safety in avalanche and rockfall-prone areas.
Features
- Real-time monitoring of vibrational data using advanced acoustic sensors
- AI-powered signal processing algorithms for accurate detection of avalanches and rockfalls
- Precise localization of events for targeted response efforts
- Early warning alerts delivered via multiple channels (e.g., SMS, email, web dashboard)
- Customizable alert thresholds based on specific risk assessments
- Integration with existing monitoring infrastructure and data management systems
- Robust data analytics platform for historical trend analysis and predictive modeling