Sigma5 provides a compact fiber‑optic photonic spectrometer platform that delivers sub‑nanometer resolution for real‑time environmental monitoring. The system combines low‑cost, modular sensor nodes with AI/ML analytics to generate actionable insights such as leak detection, crop stress indices, and safety alerts, accessible via secure cloud APIs or on‑prem dashboards.
Funding
Funding not disclosed
Founders
Product
Problem
Environmental monitoring often relies on bulky, expensive instrumentation that lacks the precision and scalability needed for real‑time, large‑area measurements. This limits industries’ ability to detect leaks, optimize crop health, ensure workplace safety, and meet regulatory compliance efficiently.
Solution
Sigma5 delivers a patent‑pending photonic spectrometer platform built on fiber‑based spectral sensing. The sensors are orders of magnitude smaller and lighter than conventional analyzers while providing high‑resolution, multi‑scale observations from sky to source. Integrated AI/ML pipelines transform raw spectra into actionable insights such as leak detection alerts, crop stress indices, and safety thresholds. The hardware is manufactured at low cost and can be deployed in distributed, large‑scale configurations, enabling continuous, high‑precision environmental data collection across diverse assets. Users access processed data through secure cloud APIs or on‑prem dashboards, facilitating rapid decision‑making and compliance reporting.
Target Audience
Primary customers include agritech firms, oil & gas operators, manufacturing plants, land‑management agencies, and regulatory bodies that require high‑precision, continuous environmental monitoring at scale.
Features
- Patent‑pending fiber‑optic photonic spectrometer delivering sub‑nanometer spectral resolution in a compact form factor
- Modular sensor nodes that can be networked for wide‑area deployment, supporting both fixed and mobile installations
- Low‑cost, scalable manufacturing process using standard telecom‑grade fiber components
- Real‑time AI/ML analytics pipeline that generates predictive models for leak detection, crop health, and occupational safety
- Cloud‑native data ingestion with RESTful and MQTT APIs for seamless integration into existing SCADA, ERP, or agronomy platforms
- End‑to‑end encryption and role‑based access control to meet industry data‑security standards
- Calibration‑free operation through built‑in reference channels, reducing maintenance overhead
- Compatibility with major GIS and data‑visualization tools for spatial analysis and reporting