Food waste is a
solvable problem
One-third of all food produced globally is wasted. For restaurants, the number is even higher. We're building the infrastructure to change that, starting with the cooler.
Our Operating Principles
Built for Zero Waste
Every feature is evaluated against one question: does this reduce the amount of food that ends up in the trash? If not, we don't build it.
12 Hours Back Per Week
Manual inventory counting averages 90 minutes per shift per location. Veratori brings that to zero, letting staff focus on guests instead of clipboards.
Your Data, Encrypted
Operational data stays on your edge device and is encrypted in transit. We have no access to your raw footage. GDPR and SOC 2 Type II compliant.
If food waste were a country, it would be the third-largest greenhouse gas emitter on Earth.
Food waste generates 8% of global greenhouse gas emissions — more than the entire aviation industry. At the restaurant level, that waste starts in the walk-in cooler.
At Veratori, every line of code is written with one question in mind: does this help reduce waste?
From cooler to cloud
in under 2 minutes.
Every shift. Every SKU. Every location. Operators and investors get real-time intelligence without lifting a clipboard.
120+
SKUs Tracked
per location
$2,400
Avg. Revenue Recovered
per month
38%
Waste Reduction
first 90 days
52 hrs
Labor Hours Saved
per month
How it reaches you
Backed by
Atlanta Tech Village
What gets tracked
Restock Alert · Store A · 2:43 PM
Kilauea Lemon Cake below threshold (5 units). Peak dinner service in 3h.
Morning Digest · 6:00 AM
All critical SKUs stocked. Projected revenue today: $1,847. No anomalies overnight.
What the data delivers
+$2,400/mo
avg. recovered revenue
Revenue Intelligence
Know exactly which SKUs generate highest margin. Prevent stockouts on top-sellers like Mango and Strawberry during peak hours — real data from your store, not estimates.
94%
anomaly detection rate
Early Anomaly Detection
Detect misplaced items, unexpected stock drops, or door-left-open events before they cause waste. Our sensor caught 94% of anomalies in blind tests across 2 stores.
−38%
food waste reduction
Zero-Speculation Ordering
Every restock decision is backed by volumetric data — not gut feeling. Eliminate over-ordering of slow movers like specialty teas while keeping fast runners stocked.
52 hrs
saved per month
Time Back to Operations
Manual counting averages 90 min/shift/location. With Veratori, that drops to zero. Two employees × 26 shifts/month = 52 hours reallocated to guest experience.
Multi-location
unified reporting
Investor-Grade Reporting
Franchise operators and investors get unified dashboards across all locations — comparing Store A vs Store B performance, margin per category, and trend analytics.
SOC 2
Type II certified
Compliance-Ready Data
Encrypted at rest and in transit. No raw video stored in cloud. GDPR, SOC 2 Type II. Every inventory record is auditable for health inspections and supply chain audits.
Ready to see your store's data?
Install in 30 minutes. First 30 days free. No IT team required.
See your numbers, instantly
Adjust your restaurant's details and watch the savings update in real time.
Your Restaurant Data
Monthly Revenue
Your restaurant's average monthly gross revenue
Food Cost %
Current Waste %
Locations
Labor Hours / Week
Labor Rate / Hour
$876
$994
$1,620
751%
Estimated 12-Month Net Savings
$19,443
The Science of
Zero Waste
Our mission isn't just operational—it's scientific. We conduct internal research to push the limits of computer vision and spatial computing in commercial environments.
Precision Inventory Modeling
Using LiDAR to map volumetric changes in stock with millimeter accuracy.
Predictive Waste Mitigation
Algorithmic approaches to identifying shelf-life anomalies before they occur.
Volumetric Inventory Analysis via LiDAR Depth Sensing
"Modern commercial kitchens demand more than simple count-based inventory; they require true spatial awareness. Veratori's LiDAR-based depth sensing architecture embodies this shift, moving beyond traditional computer vision by integrating volumetric data points with YOLO-v8 object detection."