Onsite.ai provides AI-powered, portable laboratories for the quantitative analysis of air samples to detect mold spores, pollen, soot, and other airborne particles. This technology enables rapid air quality assessments post-remediation, significantly reducing the downtime of affected spaces and minimizing costly idle times.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional air quality testing for mold, pollen, and other airborne particles relies on slow, manual laboratory analysis, leading to significant delays in construction site releases and costly idle times for remediation projects. Current methods often lack the speed and accessibility needed for efficient resource utilization and timely assessment of remediation success.
Solution
Onsite.ai offers AI-powered, portable laboratories that enable rapid, quantitative analysis of air samples directly on-site. Utilizing high-performance microscope imaging and AI algorithms, the platform detects and quantifies mold spores, pollen, soot, and other airborne particles in real-time. This technology significantly reduces the downtime associated with post-remediation air quality assessments, allowing for faster release of affected spaces. Customers can order devices per measurement, with portable devices managed in hubs and delivered via CO2 neutral last-mile delivery services.
Target Audience
The primary target audience includes remediation professionals, construction companies, and property managers who require fast and accurate air quality assessments.
Features
- Portable, AI-powered device for on-site air sample analysis
- High-performance microscope imaging for particle detection
- AI algorithms for quantitative analysis of mold spores, pollen, and soot
- Rapid results, enabling faster decision-making in remediation projects
- Devices managed in hubs with CO2 neutral last-mile delivery
- Simple three-step process: order, measurement, result