Case Study
Root Cause Analysis for Facility Managers with EQ Sight
When every minute of downed equipment can cost millions – Having a tool to investigate root cause analysis data powered by an Agentic AI platform becomes hyper-critical for facility managers.
Electrical Equipment Manufacturing · Software Technology
The Idea
EQ Sight will provide Facility Managers with X-Ray vision into equipment failures in real time, allowing them to perform root cause analysis and act with confidence in the field.
The Problem
Power Quality is a $200B growing problem. It underpins 7 out of 10 equipment failures of unknown cause. A tiny, minute-long power-outage can haunt production — a 30-minute outage at a Samsung Plant inflicted $43.32 million in losses.
Solution & Design Approach
- Introduced EQ Sight, a next-generation UX and user interface product for their Agentic AI Platform to over 100 guests at San Francisco Tech Week.
- Interviewed Facility Managers through a cold outreach LinkedIn Campaign to better understand their jobs to be done.
- Designed and Shipped EQ Sight: A powerful root cause analysis tool built on an Agentic AI Platform for Facility Managers.
- Built and self hosted a custom RAG LLM with 78 billion parameters for real-time data processing.
In Practice
What We Learned
- →Interaction responses need to be quick, with detailed charts and graphs, and provide enough insights with recommended next steps.
- →Facility Managers need a way to export a PDF report that they can quickly share with Power Quality Engineers.
- →Every minute matters and can cost millions in down time, so the retrieval of data needs to be fast.
Results
6
Customer Pilots
30+
Investor Meetings
100+
Live Demo Attendees
Have a project in mind?
We'd love to help you design something that delivers real outcomes — just like we did for Energy Quotient.