sigSense Technologies

SigSense Technologies provides an equipment management platform that leverages artificial intelligence to interpret operational data from machinery. Founded in 2012 by Matt Burtch and headquartered in San Francisco, California, the company developed a system to analyze information from non-invasive power and environmental IoT sensors. This approach allows the platform to understand the performance and health of individual machine components without direct integration, a capability the company describes as hearing 'the voice of the machine.'

The core of SigSense's offering is a vendor-agnostic platform designed to deliver predictive maintenance alerts, identify opportunities for process optimization, and ultimately increase profitability for its clients. The system tracks equipment utilization and status, providing real-time performance metrics, diagnostic analysis, and overall equipment effectiveness (OEE) insights. By addressing equipment maintenance challenges proactively, the platform aims to prevent unnecessary downtime and limit operational disruptions. The business model appears to be SaaS-based, providing this monitoring and analytics solution to a range of industries, with a particular focus on laboratory operations.

The technology is applicable to a wide variety of scientific instruments, including chromatography and mass spectrometry systems, centrifuges, and sequencers, among others. This capability is especially valuable for high-throughput commercial labs and service organizations that manage large fleets of diverse instruments and require minimal downtime and efficient scheduling. The platform's ability to remotely diagnose issues helps to reduce field service visits and improve inventory management. After raising $40,000 in venture capital from investors including Highway1 and Konica Minolta Business Innovation Center, SigSense Technologies was acquired by Agilent Technologies on July 29, 2024. The technology has since been integrated into Agilent's CrossLab Connect suite of digital applications, which includes asset monitoring, inventory management, and service management, enhancing Agilent's offerings in lab operations management.

Keywords: equipment performance management, predictive maintenance, AI-powered analytics, IoT sensors, lab operations optimization, asset monitoring, industrial IoT, OEE tracking, machine diagnostics, non-invasive sensors, equipment utilization, Agilent CrossLab Connect, operational reliability, process optimization, downtime reduction, asset lifecycle analytics, scientific instrument monitoring, smart alerts, remote diagnostics, equipment health monitoring