Energy Quotient · Staff Product Designer · 12 weeks
EQ Sight
Signal-first diagnostics for facility managers—AI hypotheses inline with waveform data.
Challenge
Today, Power quality is a $200B problem. 7 out of 10 equipment failure of unknown causes are suspected to be due to power quality. At the same time, U.S. electricity demand is skyrocketing, with projections of 2–3× demands on the grid by 2050.
U.S. industries are “patching” power quality issues. You have unsustainable system redundancy with several back up generators in case one fails. As well as existing sensors that cannot handle modern grid complexities at scale in realtime. Making it very difficult for post-factor root cause analysis.
Approach
- Energy Quotient builds the power quality full stack. From raw data to insights and action. A new lens on power intelligence. EQ’s hardware performs continuous waveform monitoring, 224,000 points of data per second to capture events in full detail. Low-latency real-time data for power controls and power quality analysis on the same platform. 6 Mb/s of lossless data, memory-safe Rust code, and advanced analytics and root cause investigation backed by weeks of 24/7 waveform data storage.
- EQ Sight seamlessly integrates the UX workflows with AI for Facility managers to quickly diagnose and investigate the root cause of the power quality event. Where each minute the system is down can result in millions of lost revenue.
“We no longer have to hire an expert to investigate the root cause.”
Outcomes
- 6new customer pilots after launch
- 224kdata points per second — facility-scale waveform monitoring
Video
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