Tensio offers real-time structural health monitoring for buildings and infrastructure using advanced sensor technology. Their solution provides continuous data on structural integrity, enabling proactive maintenance and ensuring safety.
Funding
Funding not disclosed
Founders
Product
Problem
Building owners and managers face challenges in proactively maintaining their structures, particularly regarding snow accumulation on roofs and potential drain blockages, which can lead to costly damage and safety risks. Traditional inspection methods are often labor-intensive, infrequent, and may not provide real-time insights into the structural integrity of the building.
Solution
Tensio provides an IoT-based solution for preventive maintenance of building roofs and drainage systems, utilizing smart sensors to deliver real-time data and actionable insights. For snow-covered roofs, sensors installed on the building's steel structure measure the strain caused by snow, water, and ice, cross-referencing this data with weather forecasts to predict potential overloads. For roof drains, sensors monitor water levels to detect blockages and ensure proper drainage. The Tensio platform aggregates sensor data, providing users with alerts and a comprehensive view of their building's condition, enabling proactive maintenance decisions and reducing the risk of structural damage or operational disruptions.
Target Audience
Tensio targets building owners, property managers, and facility maintenance professionals across industrial, commercial, and institutional sectors who seek to optimize maintenance operations, prevent structural damage, and ensure the safety of their buildings.
Features
- Smart sensors installed on steel structures to measure real-time strain caused by snow, water, and ice
- Roof drain sensors to monitor water levels and detect potential blockages
- Secure LoRaWAN network for data transmission, independent of internal IT networks
- Cloud-based platform providing data visualization, historical analysis, and customizable alerts
- Integration with weather forecasts for predictive maintenance planning
- Non-intrusive installation process
- Mobile app for remote monitoring and notifications
- Engineering analysis to determine safe capacity limits for each roof section