QSR Inspector reads the cameras your stores already have, turns what happens into anonymous events on a small box in the store, and rebuilds each restaurant as a live, table-size 3-D model you can look into from your living room or office. Every person is a faceless avatar. Every station is green, yellow, or red. Ask “why is this red?” and get an answer tied to what actually happened. That 3-D view is Heliarch by QSR Inspector, patent pending.
Each layer works on its own, and each one makes the next one smarter. Here is exactly where every piece stands.
Digital inspections, AI coaching, food-safety logs, corrective actions, and multi-store reports, built by a 20-year restaurant operator.
A small NVIDIA edge box that plugs into the cameras a store already has. It runs the AI on site and sends out events: queue length, station timing, waits, walk-aways. Video stays in the store by default.
Any of your restaurants as a live 3-D model you can set on a table and look into from anywhere, with faceless avatars, green/yellow/red zones, a 7-day replay, and plain-English answers.
Vision starts with the cameras a store already has. More cameras simply cover more of the floor.
In the storeAI on site turns video into anonymous events. Positions, queues, timings. No faces, no names.
In the storeEvery zone gets a status: green, yellow, red, or grey when there's no data. One record feeds every screen.
Secure cloudAlerts, the morning brief, coaching, and the fix routed to the right manager.
Your phoneThe same live state, drawn as your store with avatars. Rewind any moment from the last 7 days.
Headset or browserA district manager can't be in twelve kitchens at once, and flipping between camera feeds doesn't tell you much. Heliarch puts the whole restaurant on the table in front of you, drive-thru, front counter, kitchen, and dining room, moving live.
More pictures and video on the Heliarch page →
Set your restaurant on the coffee table or the desk and walk around it. Pull up a different store with a tap.
Every person in the store shows up as a generic figure, colored by role (grill, fry, front counter). Never a face, never a name.
Each station is scored against your own targets, live. Grey means “no data”, so a missing camera never looks like a good shift.
Rewind any moment from the last week. Jump straight to the worst moment of the day, then play it at 1–60× speed.
Ask out loud or tap. An AI assistant answers from the store's own events: what happened, since when, the likely cause upstream, and the volume.
The 3-D view never receives camera video, only anonymous positions and events. On pilot boxes, anonymous IDs change at least every 5 minutes. Raw anonymous position data is kept up to 30 days, then deleted automatically.
On October 8, 2026 we ran the full chain end to end on real events from our camera test bench: cameras → Vision box → cloud → 3-D model. A customer waited too long at pickup, and the pickup zone turned red on screen about 2.3 seconds after the event, typical (median) end to end.
The same day, the live store-status service went into production. This is the layer every 3-D view reads from.
Answers come from an AI assistant, and every answer is built from the same event record that drives the live view and the replay, so what you're told always matches what you can watch.
Example answer from the lunch-rush demo scenario (simulated data).
One live store model, drawn on whatever you have. Each status below is exactly where it stands today.
Runs in the headset's web browser with color passthrough. Your store sits on your real table; select with your hands, no controllers.
A native app with a premium look: tabletop or floating store, the 7-day replay with people, district overview, and the privacy promise up front.
Hands-free, voice-first: start a session and ask what you're looking at. Integration built with Meta's wearables toolkit and in internal testing.
A target platform. The tabletop store is being designed to fit lighter, everyday headsets and glasses as they become available.
No headset? The same 3-D store, replay, and answers run in a regular computer browser. Every screenshot on this page outside a headset is from it.
The QSR Inspector app: alerts, the morning brief, inspections, and Shift Rewind, the in-app 3-D replay.
Meta Quest, Ray-Ban Meta, and Apple Vision Pro are trademarks of their owners. QSR Inspector is not affiliated with or endorsed by Meta or Apple.
Inspections, AI coaching, and food-safety logs on the App Store and Google Play; subscriptions live July 2026.
Edge AI box detecting on live store cameras (July), Shift Rewind 3-D replay in the app, the “why” engine and morning incident report, and over-the-air fleet updates (September).
Tabletop store in the browser and headset, faceless role-colored avatars, district view, 7-day replay, and cause-and-effect replay within days.
Native Apple Vision Pro build plays a full day of replay with people; lighting, kitchen, and exterior look pass.
Real camera events turned a zone red in about 2.3 seconds; live store-status service in production; two U.S. provisional patent applications filed.
A first pilot with a multi-unit franchise operator is being planned.
Vision boxes on each pilot store's existing cameras, calibrated to each floor plan.
Phone 3-D scans of each pilot store, so the model looks like that restaurant, not a template.
Live avatars and the 7-day replay running on real pilot stores.
Vision Pro release, then lighter glasses as platforms ship.
Order is firm; dates depend on the pilot. Full roadmap and long-term vision →
Two U.S. provisional patent applications were filed in October 2026, covering how we turn store cameras into a private, live 3-D view of operations, among other work.
A small NVIDIA edge box in the store reads the cameras you already own. It answers what a DVR, a POS, and a manager's memory can't: who, what, when, where, and why, and then what it cost and how to fix it.
12:40 PM · Drive-thru backed up 8 deep, 14 min WHO: sandwich station 30% slower than normal · register 15% slower WHAT: 25-sandwich order rung 12:38 · rush 30% heavier than a normal Tuesday WHEN: began 12:40 PM · first car gave up 12:47 PM · cleared 12:54 PM WHERE: sandwich station → window 2 WHY (inferred): large order never called to the line COST: 3 walk-aways · ~$41 · FIX: call large orders the moment they're rung
QSR Vision is anonymous, zone-level operations analytics: drive-thru times, queue lengths, wait times, and how work flows between stations.
Nothing identifies who a person is. No faces, no names, no emotion reading.
Vision does not score, rank, or evaluate individual workers. Reports and alerts are about stations, lanes, and stores.
The box turns video into anonymous events on site. Short alert clips stay on the box unless an admin turns on remote clip viewing or shares one, and shared clips expire after 14 days.
Loss-prevention flags go to a manager's review queue. The system never makes a disciplinary decision.
How pilot boxes work (the release we're testing now, coming with the pilot): the anonymous ID for a person on camera changes at least every five minutes, no tracking IDs or body points leave the box, alert clips are deleted from the box after seven days, raw anonymous position data is deleted from the cloud after 30 days, and every pilot store posts an employee notice before its box goes live.
Every visit becomes a scored, coached, tracked record, so issues actually get fixed. Free 14-day trial, no credit card.
Six categories, instant pass/fail scoring and letter grades, photo proof on any item.
Strengths, a coaching tip, and a prioritized action plan after every inspection.
Failed items become tracked tasks with owners, priorities, and due dates.
Temperature logs and open/close checklists with out-of-range flags and an audit trail.
Plain-English questions (“which store needs me first?”) answered by an AI assistant from your own data, with the number that proves it.
QSR Score™, the AI executive brief, Daily Game Plan, Profit Ledger™, and Equipment Watch.
Begin with digital inspections and AI coaching today; add QSR Vision when you're ready to see what the cameras already know.
“Great restaurants aren’t built by chance—they’re built by great leaders. My mission is to help create them.”— Randy Dickson, Founder
Digital inspections, AI coaching, food-safety logs, and multi-store reporting.
Founding introductory offer — your first 12 months. Vision includes everything in Inspect, plus AI cameras, a live digital twin, real-time KPIs, and loss prevention. 12-month term. Required Vision hardware must be purchased separately; hardware is not included in the software subscription.
Graduated pricing: each location is charged at the rate for its band; adding a location does not reprice earlier locations. Contact sales for 101+ locations. Founding rates apply to each customer's first 12 months; renewal pricing will be quoted and agreed in writing. Required hardware is purchased separately. Prices in USD. Inspect billed monthly or annually and cancel anytime; Vision is quoted and installed with you directly.
Heliarch is in pilot and not yet sold separately. Ask us about joining a pilot.
For more than 20 years, I have dedicated my career to mastering restaurant operations and leadership. Throughout that journey, I have been honored as an award-winning General Manager and have advanced through every level of leadership—from District Manager to Regional Director of Operations.
Having worked on both sides of the business, I recognized a common challenge: the disconnect between field leadership and restaurant management. Too often, General Managers lack the coaching, guidance, and consistent feedback needed to reach their full potential.
That realization inspired me to create this platform.
Built with the power of AI and backed by decades of real-world operational experience, this app was designed to revolutionize the way restaurants teach, train, and develop leaders. Think of it as having a District Manager in your pocket—available anytime, anywhere.
With a simple inspection, the platform handles the rest. Owners and leaders gain instant visibility into detailed notes, photos, key performance indicators, and actionable coaching opportunities. Managers receive clear guidance on what needs attention and how to elevate their restaurant's performance to the next level.
More than an inspection tool, this is a leadership development system. It creates accountability, drives consistency, and empowers managers to become true operational rockstars.
I have poured my heart and soul into building this platform because I believe great restaurants are built by great leaders. My mission is simple: to provide operators with the tools, insights, and coaching they need to develop stronger teams, deliver exceptional guest experiences, and achieve lasting success.
I am confident that organizations committed to using this system will see measurable improvements in execution, leadership development, and overall restaurant performance.
My vision has never been to replace managers with artificial intelligence. It is to give every manager access to the insight, coaching, and operational support that only the very best leaders could once provide.
I believe the future belongs to organizations where people and technology elevate one another. That is the company we are building.
— Randy DicksonFounder & Creator
“To build the intelligence layer that enables people, AI, and autonomous machines to work together as one coordinated team in the physical world.”
Technology should not replace great managers. It should make every manager capable of operating a world-class business. The restaurant is where we prove it.
Run a multi-unit operation? Talk to us about a Vision install and a Heliarch pilot, or just start with the app.