FactoryVibe AI
Offline Edge AI sensor pod predicting machine failure 3 weeks before breakdown.
An air-gapped industrial IoT intelligence platform engineered for manufacturing plants. Combines 192kHz ultrasonic acoustic MEMS sensors, FLIR thermal imaging, and local NVIDIA Jetson compute to eliminate $12B+ in unplanned machine downtime.
Downtime prevention
85%
Edge AI latency
< 15ms
Payback period
< 45 days
The problem
What the team was trying to solve.
Over 85% of machines across 500,000+ Indian factories operate completely unmonitored. When a CNC spindle or motor fails unannounced, assembly lines freeze—costing up to ₹2.5 Lakhs per hour.
The approach
What we actually did.
01
Engineered a 30-second magnetic snap-on sensor pod housing ultrasonic acoustic MEMS arrays and FLIR thermal IR cores.
02
Formulated a 3-layer Edge AI pipeline executing FFT waveform signal processing and local neural network inference offline on NVIDIA Jetson SOM.
03
Built an agentic generative maintenance assistant issuing plain-language technician work orders with specific spare part SKU numbers.
04
Deployed interactive investor pitch portal with real-time audio waveform simulator at webvoyant.io/factoryvibe.
The outcome
Where the product is today.
Selected for pitch presentation at AI Impact Summit 2026 (AIC Prestige Inspire Foundation, Indore). Deployed live interactive demonstration platform.
Stack