Industrial IoT company with real-time multi-sensor diagnostics for conveyors, robotic cells, and automated lines in distribution and manufacturing.
TinMan Systems is a privately held Industrial IoT company founded in 2010 and headquartered in Issaquah, Washington. The company develops real-time multi-sensor diagnostic platforms specifically engineered to monitor the health of industrial equipment, with a primary focus on large-scale conveyor systems, sorters, and automated material handling machinery used in distribution centers and manufacturing facilities. TinMan Systems has deployed its diagnostic technology at hundreds of facilities operated by some of the largest retail, logistics, and e-commerce companies in the world, with installations spanning eight countries across North America, Europe, and Asia.
The company's core innovation is a patented approach called On-Board Real-Time Multi-Sensor Diagnostics, which places synchronized sensor arrays directly on or within the moving equipment under observation rather than monitoring from external fixed points. The Cascades continuous monitoring system, TinMan's flagship wireless product, captures vibration, thermal, acoustic, voltage, and positional behavior simultaneously from operating machinery and fuses all channels into a single time-aligned mechanical record of every machine run. This synchronized data record reveals vibration signatures, thermal anomalies, alignment drift, acoustic irregularities, and component wear patterns that indicate failure and pre-failure modes long before a breakdown occurs, enabling maintenance teams to shift from reactive repair to condition-based and predictive intervention strategies.
TinMan Systems' software platform comprises more than 1.5 million lines of source code organized into three integrated layers: TinMan RealTime for sensor data fusion, live visualization, and control; an AI Builder module for intelligent automation rule creation; and a machine learning pattern recognition engine for anomaly detection and failure classification. An AI-enabled continuous monitoring version of the multi-sensor system was announced in 2023, adding automated pattern recognition trained on failure signatures collected from the company's global installed base of conveyor diagnostics deployments. The platform is designed to integrate with existing facility management and CMMS systems, providing actionable alerts and trend reports to maintenance and operations teams without requiring replacement of existing equipment infrastructure.
Primary type & automation activities this supplier delivers:
Carrier-integrated sensor system capturing synchronized vibration, thermal, and video data at full operating speed for conveyor and robotic cell diagnostics.
Contact TinMan Systems
WEBSITE
https://www.tinmansystems.comPHONE
+1 866-715-0012HEADQUARTERS
United States
Company Facts
Founded
2010
Primary Role
Manufacturer
Company Size
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Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
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