3d Signals

3d Signals, founded in 2015 by Ariel Rosenfeld, Amnon Shenfeld, and Gilad Almog, offers an Asset Performance Monitoring (APM) platform designed to enhance the productivity of manufacturing facilities. The company targets the manufacturing sector, providing a solution for digitizing machinery and transforming traditional factories into smart factories, a concept often referred to as Industry 4.0. The core of their offering is a plug-and-play hardware and software platform that connects to a wide range of industrial machines, including CNC machines, press machines, and welding and die-casting equipment, regardless of their age or type. This is achieved through non-invasive sensors that collect acoustic, vibration, and temperature data, which is then uploaded to a cloud-based platform for analysis.

The platform provides real-time visibility into machine performance, offering insights into operational metrics such as availability, performance, and quality (OEE - Overall Equipment Effectiveness). By analyzing this data, manufacturers can identify production bottlenecks, predict maintenance needs to prevent unplanned downtime, and optimize production processes. This data-driven approach allows for a shift from reactive to proactive or predictive maintenance, ultimately aiming to increase machine uptime and throughput. The business model is primarily subscription-based, where clients pay for access to the cloud platform and its analytical capabilities. 3d Signals serves a diverse client base in the manufacturing industry, with notable customers including Huf, SRG Global, and Iscar.

The founding team brings a blend of military intelligence and technological expertise to the company. CEO Ariel Rosenfeld, for instance, has a background in the Israeli military intelligence unit 8200, an experience that has shaped the company's approach to data analysis and signal processing. This background informs their method of using sound and other data to understand machine health, likening it to how intelligence units analyze signals to gather information. The company has secured funding from various investors, including Grove Ventures, an early-stage venture capital fund.

Keywords: Asset Performance Monitoring, APM, Industry 4.0, smart factory, manufacturing analytics, predictive maintenance, IIoT, machine monitoring, OEE, industrial sensors