Not mockups and not a slide about what AI could do. Both of these are built, sold and running today — a booking bot that answers the phone calls a clinic no longer wants to take, and a skin-screening assistant that reads a photograph before the specialist ever sees the patient.
Both films are narrated in Persian. The write-ups below carry the same material in English.
Nobatyar is a Telegram appointment bot that wears your business's name and colours. Your patients open one permanent link, pick a service and a time, and the booking lands in your panel. No app to install — they already have Telegram, and so do you.
A patient sends one photograph to the clinic's Telegram bot, or opens a guided camera inside it. They get back a readable report of what the image shows. The clinic gets a second, fuller one — written as evidence rather than as an answer. Nothing in it is a diagnosis, and it is built so it cannot become one by accident.
We analyse. The doctor decides.
Neither of these asks anyone to download anything. That is the same instinct behind every system we build: meet the workflow where it already runs, and be judged on a number the business already watches.
Telegram is where both audiences already are. An install step in front of a product nobody has tried yet is where most of them stop.
Both products carry the business's own name and identity in front of its own clients. Nazarban stays behind the glass.
Anything that must be reproducible — a slot, a score, a differential — is computed, constrained or tabulated. A language model is used where judgment genuinely helps, and nowhere else.
Both of these started as somebody's phone ringing too often. Tell us which call you would like to stop taking, and we will map it to a working proof-of-concept.