Your POS captures what was sold. Your recipe system captures what should happen. Neither captures what actually happened at the plate — the portion that left, the presentation that was delivered, the consistency that was or wasn't there. That gap exists in every restaurant operating today, and it has never been data until PlateScan. Execution gaps in that blind spot cost operators 5–12% of margin — not because they're not paying attention, but because the data to act on simply didn't exist.

PlateScan Standalone is for single or multi-station operations that want plate-level execution data at the pass — portion accuracy, presentation consistency, and coaching data across shifts. It sits on the counter and starts measuring immediately. PlateScan EIS is for multi-location brands (25+ locations) that need unified execution visibility across sites, overhead deployment with no counter footprint, and enterprise-grade analytics and integrations. If you're unsure which fits, a 20-minute scoping call with our team will tell you exactly what you need.

Yes. PlateScan is in active deployment across independent operators, casual dining, and national QSR chains. At Enzo BBQ, on-brand presentation rate climbed from 40% to 90% in 30 days. At REEL Seafood, $3,742 in food cost was recovered per location in the first 90 days across 2,800 scanned orders. These aren't projections — they're documented outcomes from live kitchens. FooQai also won the 2026 GOe On The Road Global FoodTech Competition, selected over startups from four continents for creating the kitchen execution data category.

No on both counts. PlateScan is designed for real kitchen speed — it operates passively at the pass as dishes move through, with no pause required and no retraining needed. Your team works exactly as they do today. What changes is that managers now have objective data to replace the spot checks, the gut feel, and the end-of-shift guesswork. The system doesn't change how your kitchen runs — it makes what's already happening visible for the first time.

Most operators identify 5–12% portion variance within the first two weeks of scanning — variance that was costing them money on every shift before PlateScan made it visible. Presentation inconsistency and coaching opportunities typically surface within days. The documented benchmark from live deployments: measurable food cost reduction within 90 days. REEL Seafood recovered $3,742 per location in that window. The hardware pays for itself. The data compounds from there.

PlateScan scores every plate across six execution signals — no sampling, no manual checks. Three are portion signals that catch cost drift: portion weight, portion size, and item count. Three are presentation signals that catch brand drift: arrangement, color consistency, and cleanliness. Every signal is scored against your recipe standard in real time as the plate leaves the pass. The result is an on-brand or off-brand call per plate, per shift, per station — data that has never existed before in structured form.

You own your data. Plate execution data captured by PlateScan belongs to your operation — FooQai does not sell, share, or use your kitchen data for any purpose outside of powering your analytics. Data is stored securely and accessible through the PlateScan dashboard and, for EIS customers, via API integration into your existing BI and reporting systems. For enterprise deployments, data governance, retention, and access control are scoped during onboarding. If your IT or legal team has specific security requirements, our team will work through them directly.

Yes. PlateScan outputs kitchen execution data as a structured layer that connects to your existing stack — BI and reporting tools, recipe systems, inventory platforms, and ops and labor software. No new dashboard required if you prefer to pull execution data into what you already use. API access is available on PlateScan EIS for full integration flexibility. FooQai also partners with Gordon Food Service and Back of House to connect execution data directly into distribution and marketplace workflows. The data layer was built to enrich your stack, not replace it.