Joltsynsor provides AI-driven solutions for infrastructure health monitoring, focusing on internal structural analysis rather than superficial indicators. The platform uses machine learning algorithms to deliver real-time insights for proactive maintenance and risk management. This technology ensures the integrity and reliability of infrastructure assets through advanced damage forecasting.
Funding
Funding not disclosed
Founders
Product
Problem
Current methods for assessing the structural integrity of civil infrastructure, such as bridges and tunnels, often rely on superficial external inspections, which fail to detect internal distortions and early signs of damage. This can lead to delayed maintenance, increased risk of failure, and higher costs for repairs.
Solution
Joltsynsor provides an AI-driven risk intelligence platform that monitors the health of civil infrastructure by analyzing internal metrics to detect structural distortions and forecast potential failures. The platform leverages machine learning algorithms and advanced sensing technology to provide real-time insights into the condition and performance of infrastructure projects. By measuring key metrics from within the structure, the system assesses overall distortion and enables proactive maintenance decisions, extending lifespan, enhancing safety, and reducing carbon emissions. The solution helps infrastructure operators make data-driven decisions for safer and more resilient assets, and assists insurance companies in assessing infrastructure risks for accurate pricing and proactive risk mitigation.
Target Audience
The primary target audience includes infrastructure asset owners and operators, as well as insurance companies and risk underwriters involved in civil infrastructure projects.
Features
- AI-powered processing of raw sensor data into actionable insights for infrastructure health monitoring
- Deep-trained database mapping to detect anomalies and potential structural damage
- Machine learning algorithms to forecast structural conditions and enable proactive interventions
- Integration with existing infrastructure ecosystems for a unified monitoring approach
- Advanced sensing technology to measure internal structural metrics, going beyond superficial crack detection
- Risk assessment tools for insurance companies and risk underwriters to evaluate asset conditions and predict future liabilities