Your kitchen already
generates the data.
We turn it into margin.
Sensors on the prep line. Cameras above the pass. ML models that learn a restaurant's rhythms faster than its own head chef.
Model your restaurant's recovery.
Adjust the parameters below. Watch the numbers move. This is the exact model we run during onboarding.
The gap is measurable.
Incumbents own the POS layer. Seed owns the intelligence layer — the prep line, the pass, the rhythm model. That's not a feature; it's a moat.
| CAPABILITY | SEED | TOAST | WINNOW | BLUECART |
|---|---|---|---|---|
Real-time prep-line sensors | ||||
Pass camera integration | ||||
Predictive ordering (ML) | ||||
Station throughput heatmaps | ||||
POS data ingestion | ||||
Supplier API integration | ||||
Waste cost attribution | ||||
Menu engineering feedback | ||||
Multi-unit dashboard | ||||
Patent-pending rhythm model |
Built in public. Shipped in production.
Every node below is a real event. No mock traction.
Team formed. 3 engineers, 1 operator. $180K pre-seed from angels.
Hendricks Group — 4-unit casual dining operator, Chicago. 90-day paid pilot.
Prep-line sensor array + pass camera + v1 waste model live in production.
Provisional patent on rhythm model architecture. USPTO application #2025-KI-0441.
Letter of Intent from Meridian Hospitality Group — 12-unit hotel F&B portfolio.
Oaxen Collective, NYC. Fine dining. First multi-concept deployment.
LIVETargeting $2.4M. Lead investor conversations in progress.
TARGETExpand sensor hardware supply chain. Onboard 3 enterprise accounts.
TARGETRequest the
Data Room.
Full diligence package: cap table, pilot contracts, unit economics model, technical architecture, and the patent filing. Delivered within 24 hours of a qualified request.