3DSignals raises $3 million in funding for predictive maintenance technology
3DSignals, an Israel-based developer of sound-based predictive maintenance systems, has raised $3 million to expand company operations, targeting the US market. The seed funding round was led by Grove Ventures and other additional investors.
The company’s proprietary hardware and software platform allows maintenance engineers and technicians to listen to their machines with remote ultrasonic sensors, anticipate problems with real-time alerts, and prevent critical failures with predictive analytics. The 3DSignals technology can be leveraged for remote monitoring of industrial and manufacturing plant equipment such as production line machinery, cutting equipment, hydroelectric generators, wind turbines and other machines such as hydraulics, motors, compressors, robotics, bearings, and gearboxes.
3DSignals has developed ultrasonic sensors that are powered by deep learning neural network software that detects anomalies in the sound that machines make while they are running. These patent pending sensors are especially designed for harsh industrial environments wherein they use highly directional microphones to filter out ambient noise.
The platform’s predictive analytics software processes these sound signals and aggregates the data, providing users with real-time alerts and access to live sound streams and reports 24/7 on desktop or mobile from any remote location.
Lotan Levkowitz, 3DSignals board member and partner at Grove Ventures, said: “Modern improved sensing capabilities combined with artificial intelligence are creating opportunities to change many industry verticals.
“3DSignals’ team brings unique expertise in deep learning around acoustics into the industrial IoT space, and they’ve been able to transform proprietary acoustic data into meaningful insights and clear and quick ROI for various traditional industries.”
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