AISPOT provides an automated platform for continuous biological air monitoring in agricultural and indoor environments. The system combines SporeScout, an autonomous sampler, with SporeFinder, an AI-powered analysis tool that identifies and quantifies pathogens through automated microscopy. Results are delivered via a cloud platform with notifications, enabling data-driven crop protection decisions without requiring technical expertise.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional plant pathogen detection relies on manual sampling and laboratory analysis, which is time-consuming, requires technical expertise, and provides only intermittent data. This delays critical decisions in crop protection and leaves growers vulnerable to undetected disease outbreaks that can spread rapidly.
Solution
AISPOT offers an end-to-end automated solution for continuous bioaerosol monitoring and pathogen identification. The SporeScout device operates autonomously in the field or indoors, collecting biological samples without manual intervention. Collected samples are processed by SporeFinder, which uses automated high-resolution microscopy and proprietary AI models to identify and quantify pathogens. All results are accessible through a cloud platform with continuous updates and notifications, transforming physical samples into actionable biological data. The system improves over time through constant learning, and each sample is linked to a unique QR code for full traceability of location and context.
Target Audience
Primary users are agronomists, crop consultants, and growers in viticulture and other agricultural sectors who need timely pathogen data to inform crop protection decisions.
Features
- SporeScout autonomous sampler that continuously collects bioaerosol samples in field or indoor environments without requiring technical skills
- SporeFinder Pro analysis system using automated high-resolution microscopy and proprietary AI models for pathogen identification and quantification
- Cloud-based platform delivering results with continuous updates and notifications for real-time decision support
- QR-coded Frame system that links each physical sample to location and context data via the AISPOT mobile app
- Self-improving AI models that enhance detection accuracy over time through ongoing learning from collected samples