Hospitality SaaS · The multi-tenant operating system for restaurants
TableOp
TableOp is a multi-tenant hospitality SaaS built by AI Pinnacle that runs QR ordering, kitchen display systems, AI-driven inventory prediction, and government digital-invoicing compliance for 500+ restaurants from a single codebase — each venue fully isolated, billed and configured on its own tenant.
Key facts
- Restaurants served
- 500+ live venues on one multi-tenant platform
- Revenue impact
- 30% average revenue uplift for active venues
- User rating
- 4.7 / 5 across operator and diner apps
- Real-time layer
- Sub-second WebSocket order + KDS sync per tenant
- Compliance
- Government digital-invoicing (FBR-grade) built into checkout
The problem
Restaurant groups were stitching together a POS, a separate QR-ordering tool, a kitchen screen, an inventory spreadsheet and a manual tax-invoice process — none of which talked to each other, and none of which could be rolled out to a new branch without re-buying every tool. They needed one system that could onboard a new venue as an isolated tenant in minutes and stay compliant with mandatory e-invoicing.
How does TableOp isolate one restaurant's data from another?
Each venue is a first-class tenant with its own PostgreSQL schema, so one restaurant can never read another's orders, menu, pricing or sales — while a single deployment and one codebase serve all 500+. Tenant resolution happens at the Laravel middleware layer from the subdomain/venue token, and every query is scoped to the resolved tenant before it reaches the database. Onboarding a new branch provisions a schema, seeds defaults and issues API keys without touching any other tenant.
How does the real-time kitchen display stay in sync?
A Node.js WebSocket gateway backed by Redis pub/sub pushes order and status changes to every connected screen in under a second. When a diner submits a QR order, the ticket appears on the correct station's KDS, updates as the line cooks bump it, and reflects back to the diner's device — all without polling. The gateway is tenant-aware, so a venue's traffic never crosses into another's channel.
How does the AI inventory prediction work?
A FastAPI service consumes each tenant's historical sales, day-part patterns and menu-item mix, and forecasts depletion so managers reorder before they stock out rather than after. Because the model is scoped per tenant, a busy city-centre venue and a quiet suburban branch get different forecasts from the same platform.
How does TableOp handle government e-invoicing compliance?
Digital-invoicing compliance is built into the checkout path, not bolted on: every settled bill is transformed into the mandated government invoice format and submitted through the compliance engine in the Laravel backend, with retries and an audit trail. This is the piece most POS tools skip and the reason regulated venues adopt TableOp.
Measured outcomes
| Metric | Before | After | Timeframe |
|---|---|---|---|
| Revenue per active venue | baseline | +30% | within 2 quarters |
| Tools per restaurant | 4–5 disconnected systems | 1 platform | at onboarding |
| Kitchen ticket latency | manual relay | <1s WebSocket sync | real-time |
| Tax-invoice compliance | manual, error-prone | automated at checkout | every order |
Technology stack
Frequently asked questions
Who built TableOp?
TableOp was designed and built by AI Pinnacle, an enterprise AI engineering company headquartered at NASTP Alpha. AI Pinnacle owns the full stack — multi-tenant backend, real-time gateway, AI inventory service and the mobile apps.
Is TableOp genuinely multi-tenant or one deployment per client?
Genuinely multi-tenant: 500+ venues run on one platform with per-tenant schema isolation, so a new restaurant is onboarded without a new deployment, and no tenant can access another's data.
What makes TableOp different from a standard restaurant POS?
Three things a typical POS lacks: real-time kitchen display sync over WebSockets, AI-driven inventory prediction per venue, and built-in government digital-invoicing compliance at checkout.
How we build this
Related insights
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What a production-grade multi-tenant SaaS actually costs to build in 2026 — with real numbers from 30+ AI Pinnacle deployments across US, UK, and Gulf markets.
MVP Development in 90 Days: The 2026 Startup Playbook
The exact 90-day path AI Pinnacle uses to ship investor-ready MVPs — with the weekly milestones, tech choices, and traps to avoid.
The Architecture of TableOp
How we handled real-time websocket connections for 500+ restaurants.
Other case studies
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