Torch provides a remote‑monitoring platform for distributed infrastructure, using solar‑powered edge sensors that capture thermal, visual, and LiDAR data and perform on‑device AI inference. The data is streamed to a cloud‑native analytics system that detects anomalies such as fires, equipment faults, and vegetation overgrowth, and sends real‑time alerts via SMS, email or API, with a geospatial dashboard and open API for integration with EAM/SCADA systems.
Funding
Funding not disclosed
Founders
Product
Problem
Remote operators of distributed infrastructure lack continuous, high‑resolution visibility into equipment status, environmental conditions, and security threats, leading to costly site visits, delayed incident response, and increased downtime risk. Traditional monitoring solutions often require extensive cabling, manual inspections, or fragmented sensor networks that cannot scale across remote or rugged sites.
Solution
Torch delivers an end‑to‑end remote‑monitoring platform that fuses solar‑powered edge sensors, AI‑driven analytics, and satellite data to provide 24/7 situational awareness of assets such as solar panels, utility poles, and industrial facilities. The on‑site hardware captures multimodal data—including thermal, visual, and environmental metrics—and streams it to a cloud‑native processing pipeline where proprietary machine‑learning models detect anomalies like fire ignition, equipment faults, vegetation overgrowth, and weather hazards. Detected events trigger instant, configurable alerts via SMS, email, or API webhook, enabling field teams to prioritize dispatches and reduce unnecessary patrols. A web dashboard presents geospatial visualizations, 360° imagery of flagged locations, and trend analytics, while an open API allows integration with existing enterprise asset‑management or SCADA systems. The solution is designed for low‑maintenance deployment, leveraging self‑charging sensors and over‑the‑air firmware updates to sustain operation in remote environments.
Target Audience
Primary customers are operators of distributed energy assets (e.g., solar farms, wind farms), utility and telecommunications infrastructure managers, and large‑scale industrial sites that require continuous remote monitoring and rapid incident response.
Features
- Solar‑powered edge sensor nodes with integrated thermal, RGB, and LiDAR modules for comprehensive condition monitoring
- On‑device edge AI inference that preprocesses data and reduces bandwidth before transmission to the cloud
- Proprietary deep‑learning models for fire detection, equipment fault classification, vegetation height estimation, and weather‑impact forecasting
- Real‑time alert engine with multi‑channel delivery (SMS, email, webhook) and customizable severity thresholds
- 360° panoramic imaging of anomaly sites to support rapid visual verification by field operators
- Cloud‑native analytics platform offering geospatial dashboards, trend graphs, and API access for EAM/SCADA integration (RESTful, MQTT)
- Secure data pipeline with TLS encryption, role‑based access control, and compliance with industry data‑privacy standards
- Over‑the‑air firmware management and remote diagnostics to minimize on‑site maintenance