Niricson offers AUTOSPEX™, an AI-backed platform for defect detection and quantification in infrastructure condition surveys, utilizing a proprietary drone-equipped concrete sounding hammer for data collection. This technology enables asset owners to monitor and assess the structural integrity of critical infrastructure, such as dams and bridges, without the risks associated with manual inspections.
Funding
$9.5M 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.
BSCDEDSDFounders
Product
Problem
Traditional infrastructure inspections are often manual, time-consuming, and can expose personnel to safety risks, while also providing limited data points and potentially subjective assessments. This makes it difficult to accurately assess structural integrity, track deterioration over time, and plan effective maintenance.
Solution
Niricson offers AUTOSPEX™, an AI-powered platform that automates defect detection, quantification, and change tracking for infrastructure condition surveys. Paired with DRONIC™, a patented multi-layered data collection and fusion architecture that includes a drone-equipped concrete sounding hammer, the platform enables asset owners to remotely monitor and assess the structural integrity of critical infrastructure such as dams, bridges, and airfields. AUTOSPEX™ uses AI and data fusion techniques to automatically map and quantify damage, such as cracks, spalling, and alkali-aggregate reaction, on concrete structures. By comparing survey data over time, asset owners can establish a digital baseline, validate repairs, and make proactive, data-driven decisions to ensure the long-term integrity of their infrastructure. The platform also creates high-resolution 3D models using advanced photogrammetry, offering a clear and detailed view of asset conditions.
Target Audience
The primary customers are asset owners and engineers responsible for the safety and maintenance of critical infrastructure, including dams, bridges, and airfields.
Features
- AI-backed platform for defect detection, quantification, and tracking
- Patented DRONIC™ multi-layered data collection and fusion architecture
- Drone-equipped concrete sounding hammer for remote data collection
- Automated mapping and quantification of damage (cracks, spalling, alkali-aggregate reaction)
- Defect change detection capabilities based on millions of images from real-world civil assets
- Comparison mode and change grid to monitor defect progression over time
- High-resolution 3D models using advanced photogrammetry
- Cloud platform for advanced change detection and data comparison
- Acoustic sensors to detect and create geo-referenced maps of delamination
- ROVER platform for airfield optical and delamination data collection, enabling night surveys and automated delamination surveys