www.sentineldevices.com
We use machine learning to monitor industrial equipment for signs of faults or failures, and identify in real-time which signals are relevant to the failure/which ones a technician should look at first. The problem we're solving is that when a machine fails unexpectedly, 60% or more of a technician's time is spent just figuring out what was going on and what, specifically, went wrong. We want to cut that time by half or more by having our device be an engineer-in-a-box monitoring the equipment 24/7/365. We're also unique in that we're "zero-cloud" - we do all data collection, storage & processing (yes, even the AI training - not just inference) on-device, on a COTS hardware platform that fits in your hand. The idea is to be truly plug-and-play without having to figure out network infrastructure, and cybersecurity, and data storage costs, etc. etc. Demo video here: https://www.youtube.com/watch?v=FhtLS3UfnPU&feature=youtu.be
We're always interested in pilots; our website is admittedly fairly stealth mode, but if you know someone that works at a factory, they can reach out to forrest.shriver@sentineldevices.com