Hardware in your cooler.
Data on your phone
A compact sensor unit mounts to your storage ceiling. It runs computer vision models on-device, syncs with the Veratori dashboard, and sends your team alerts — no IT department required.
From unboxing to live in one day
No enterprise IT project. No lengthy onboarding. Just a sensor, a ceiling mount, and 24 hours.
Hardware installs in 30 minutes
A compact sensor unit mounts to your walk-in ceiling. No drilling into refrigeration, no network configuration required. Power it on and it's live.
Models calibrate overnight
The system spends its first 12–24 hours learning your specific inventory: labels, packaging, shelf positions, and containers unique to your operation.
Your team gets a dashboard
From day two onward, managers see a live inventory view, receive morning digests, and get instant alerts for anomalies — no training required.
What Veratori does for your team
Three core capabilities that replace manual inventory from day one.
Automatic Stock Tracking
YOLO-based object detection runs at 15–30 FPS on an NVIDIA Jetson edge device, identifying and counting items continuously without any manual input from staff.
Manager Digest, Every Morning
A plain-English summary lands in your inbox before service begins — quantities on hand, items running low, and anything that expired overnight.
Anomaly Alerts
If a walk-in door is left open, an item disappears unexpectedly, or stock drops below a configured threshold, your team gets notified before it becomes a problem.
Industrial grade Edge Computing
The V1 Sensor is built to withstand the harshest kitchen environments while running complex neural networks in real-time.
Processor
NVIDIA Jetson Orin Nano
Sensing
ToF LiDAR + 4K RGB
Durability
IP67 Waterproof
Connectivity
WiFi 6E + LTE Failover
Thermal-resilient • Adaptive inference • Multi-sensor fusion
You are the reward signal.
Label real frames from our pokebowl dataset. Every correct answer sharpens the model. Every mistake teaches it boundaries.
10 frames. 10 decisions.
Each image was captured by our Jetson sensor inside a real pokebowl walk-in cooler. YOLO has already detected objects — now you decide what the model should learn.
Accuracy
Track your precision
Loss
Lower is better
Reward
Earn positive signal