Scanezi
The table code opens the menu in the browser.
Tools for hospitality Development & demonstrations
We are building a platform for digital menus and QR-accessible operations. The customer reaches information from the phone, and the team manages the menu and requests.
QR Menu
The table code opens the menu in the browser.
You browse the available categories, options and information.
Requests and statuses are organised in the venue configuration.
Management of products, images and variants.
Scenarios for requesting staff, the bill or the order.
Roles and connections adapted to the venue’s way of working.
Orders, payments and the connection with the management system are confirmed for each implementation.
QR Menu in detail
QR Menu is the platform through which a customer scans the code on the table, opens the menu on the phone without installing anything, orders, calls the waiter or asks for the bill. The code is not just a link: it can be linked to a table, an area, a location or a service, and that context continues with each request, so the staff knows where it comes from.
Behind the scenes, the structure follows how a venue actually looks: restaurant, locations, areas (indoor, terrace, bar, VIP, outdoor), tables, and above them staff with a role — waiter, bartender, hookah, chef, administrator or own role — and allocation to tables. The order has seven statuses with a timestamp for each transition: new, confirmed, in preparation, ready, delivered, paid, cancelled. The waiter call has its own cycle: pending, taken, resolved.
Staff do not need a new app: notifications go through Telegram, with rules configured by event — new order, unconfirmed order, table call, negative feedback, successful or failed payment. If no one takes it within the set interval (five minutes by default), the notification escalates to the administrator.
Four code types: table, area, location and service. The codes are generated in the platform, can be exported as PDF for printing, and the built link carries the venue and the table with it.
Categories and products have their own translation tables, so text in another language does not overwrite the original. Automatic translation goes first through Anthropic (`claude-sonnet-4`), and if that key is missing, through Google (`gemini-2.0-flash`). The interface is in Romanian, Russian and English.
Seven states, each with its recorded moment: confirmation, preparation, delivery, payment. The products in the order have their own state and their own selected options, which allows part of the order to go to the bar and another part to the kitchen.
Bot built on grammy, in webhook mode. Rules are set per restaurant and per event, and if no one confirms within the configured interval — five minutes by default — the request goes up to the administrator. Each notification sent remains in the log.
The platform does not intermediate the money: the restaurant uses its own credentials. Adapters for Stripe, cash and transfer are implemented. MAIB exists as a scaffold, marked in the code as unfinished.
Each restaurant has a set of toggles — order, staff call, online payments, feedback, multiple languages, cash register integration, split bill, table reservation, promotions. By default, only staff call and cash payment are turned on; the rest are activated according to the plan. The table limit is checked when adding, not at the end of the month.
Data and operation
From exploration to implementation
Locations, areas, tables, staff and their roles. QR codes are generated on this structure; if the structure is wrong, the context in each request is wrong.
Orders, online payment and cash register integration are separate switches. For a first venue, calling the waiter and the digital menu are enough to test the flow with real staff.
The MAIB adapter and matching tables with the cash system are work to be done, not configuration. It is estimated based on the venue’s specific provider, with its credentials and documentation.
The flow breaks at people, not at code: who confirms, in how much time, what happens when nobody answers. Escalation at five minutes is a starting point that is calibrated in the venue.
No. It is a prototype complete in coverage, but unfinished and not launched: a single database migration, from 4 April 2026, no commits after that day, no automated tests and no public installation. What can be done tomorrow: a demonstration on the structure of a real venue, so that the end-to-end flow can be seen and what is still missing can be estimated.
No. The code is scanned and it opens in the browser. It receives a session identifier in an httpOnly cookie valid for 24 hours — no account, no phone, no personal data. The order and the waiter call are tied to that session and to the table on the code.
It depends on the provider, and it is worth saying exactly. The Stripe adapter is functional, as are cash and transfer. The MAIB adapter is written as a skeleton and marked in the code as unfinished — it needs the bank’s SDK and TLS certificates. For Moldindconbank, Paynet, Netopia and MobilPay there are only the names in the types list, without integration. Important to note: the platform does not hold the money; the venue uses its own credentials.
Partially, and the missing part is the one that matters. Adapters have been written for iiko (Syrve) and for Poster, with authentication and token exchange implemented, so the menu can be pulled from their system. Sending the order back is not ready: matching the table in the venue with the table and terminal group in their system is still to be resolved. So import yes, full synchronisation not yet.
On Telegram, with a custom bot in webhook mode — without a new app to install on their phones. Rules are set per restaurant and per event: new order, unconfirmed order, call to table or administrator, negative feedback, staff on break, successful or failed payment. If nobody takes it within the set interval, by default five minutes, the request escalates to the administrator, and every notification sent remains in the log.
The interface is in Romanian, Russian and English. The menu has separate translation tables for categories and products, so the translation does not overwrite the original text and can be corrected manually. Automatic translation first tries Anthropic (`claude-sonnet-4`) and, if that key is missing, Google (`gemini-2.0-flash`).
No. MEGA QR generates codes and transfers data optically. Meniu QR is a hospitality platform: menu, ordering, calling staff, shift notifications and payments. The only thing they have in common is the code on the table.
Illustrative example
A use case, without client data or attributed commercial results.
A customer scans the code on table 12 in the terrace area and presses “call the waiter”.
The request enters linked to the customer's anonymous session and to the table in the code, with the status “pending”. The restaurant notification rule sends the message on Telegram to the staff assigned to that area.
The waiter confirms from Telegram and the request moves to “taken”, then to “resolved”. If nobody confirms within the configured interval, by default five minutes, the request goes up to the administrator. Every notification remains in the log, so it can be seen later what caused the delay.
What is required:The structure of the premises entered (location, areas, tables), staff registered in the bot with their roles, notification rules set by events and QR codes printed on tables. Online orders and payment are separate switches, which may remain off at the first premises.
Collaboration possibilities
Codes for access to public information, instructions or contacts; optical transfer of files between compatible devices, with assessment of the institution's security policies.
We define a pilot around a real process: users, data, integrations, costs and acceptance criteria. Expansion follows after evaluating the result.
We establish the requirements for accessibility, hosting, data protection and interoperability. Any connection to AGE or STISC services requires validation of eligibility, access and approvals.
These are adaptation scenarios, not statements about existing contracts or partnerships. The proposed functions are confirmed within the project scope.
Discuss a pilotWe build agents that answer and place calls, use the information the business already holds, and work with your systems.
PlatformAn assistant connected to your business information, in the channels your customers actually write to.
PlatformMEGA QR includes a code generator and an optical transfer tool.
Public instrumentTell us about your process. Together we decide what is worth building, what we can connect, and how we check the result.