SENSIA Solutions builds AI-powered infrared imaging systems that detect what human eyes can't - gas leaks, flames, thermal anomalies in industrial environments where a missed signal isn't a false positive problem, it's an incident. Founded in 2008 and operating across Europe, North America, the Middle East, Africa, and Asia, the company has spent over 15 years refining the intersection of infrared science and machine learning for sectors like oil and gas, chemical and mining, and environmental compliance.
The product stack splits into two operational modes. Handheld quantitative OGI (optical gas imaging) cameras give field teams portable detection and quantification capability on-site. Continuous monitoring systems run autonomously - handling gas detection, flame detection, flare efficiency monitoring, surveillance, and intelligent thermography without human-in-the-loop intervention. Both product lines lean heavily on the company's core technical domains: infrared imaging, AI-powered gas detection, and optical gas imaging.
The threat model here isn't network intrusion - it's physical safety and regulatory exposure. Undetected emissions, thermal failures, and combustion events carry real consequences in the industries SENSIA serves. The company maintains a strong commitment to R&D, and its technology is distributed through a network of more than 40 partners globally. If you work at the intersection of computer vision, infrared optics, and edge-deployed ML models, this is a shop where those skills map directly to industrial-scale problems with tangible stakes.
