SHEDS deploys a network of IoT sensors throughout industrial workspaces, capable of detecting specific chemical and particulate emissions associated with hazardous waste.

These sensors transmit real-time data to a cloud-based platform where machine learning algorithms analyze the data to identify patterns indicative of hazardous exposure.

The system generates immediate alerts to facility managers and EHS specialists when unsafe conditions are detected.

The cloud platform integrates with compliance management tools to facilitate rapid reporting and action tracking.

SHEDS offers a low-cost, continuous monitoring solution that reduces the need for sporadic, expensive audits, making it accessible for small to mid-sized companies.

It allows organizations to prioritize remediation efforts efficiently, minimizing health risks and legal liabilities, and aligning them with modern compliance standards.

The technical components - IoT sensors and machine learning algorithms - are mature and cost-effective to implement.

Regulatory hurdles may involve sensor calibration and data standards compliance, but are manageable with existing technology.

Competition is present but focuses on higher-end solutions, leaving a gap in affordability for small to mid-size businesses.