Condition monitoring and maintenance tech for power plant rotating equipment
Cutsforth builds mechanical, electrical, and software products that monitor and maintain critical plant machinery such as generators and motors. Its stack pairs industrial protocols (Modbus, C/C++) with cloud ML tooling (SageMaker, Vertex AI, Azure Machine Learning, PyTorch, LangChain), and accelerating, engineering-heavy hiring points to an active push toward AI-assisted diagnostics and predictive monitoring layered on its sensor hardware.
Cutsforth is a privately held company headquartered in Ferndale, WA, founded in 1991, with 51–200 employees. It serves power plants and industrial facilities with products for asset health and maintenance, including removable carbon brush holders, online truing of collector rings and commutators, and shaft grounding. Its monitoring portfolio covers vibration, rotor flux, electromagnetic interference, electrical signature analysis, and wireless monitoring, delivered through the InsightCM platform. Hiring is concentrated in the United States.
Cutsforth uses Python, TypeScript, React, Node.js, Go, C/C++, PostgreSQL, MongoDB, AWS, Azure, GCP, Docker, Kubernetes, and Modbus, plus ML tools like PyTorch, TensorFlow, SageMaker, and LangChain.
Job posts point to an AI-enhanced energy monitoring platform, a real-time data exchange platform, predictive monitoring systems, AI-assisted diagnostics, and R&D prototype development.
Yes. Hiring is accelerating and weighted toward engineering across junior to senior levels, with smaller marketing and product openings, all in the United States.
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Cutsforth's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.