AI proposes. Code commits.
We design and build custom systems for hospitality and operations: concierges, CRM front offices, training and admin agents, media pipelines — plus the multi-agent engineering pipeline that keeps them evolving, handed over to your team as its own tool. Everything ships to production and is tailored to how your business actually works.
Write to us reply within one business dayFour kinds of systems. Each one starts from a working core and is then shaped to your processes, vocabulary and rules — nothing here is a box you have to fit into.
One assistant behind every channel a guest already uses — Telegram, WhatsApp, Instagram and Facebook, the website chat, email, SMS and voice calls. It answers in the guest's language about rooms, packages, treatments, prices and dates from your curated knowledge base. The same core serves beauty salons and spas, medical and dental clinics, law and consulting practices — any business where clients ask, book and wait for an answer.
A CRM shaped to hospitality instead of B2B sales: guests, requests, bookings, stays, cases, gift certificates, consents — with a funnel your team recognises. Every conversation from every channel becomes a card automatically.
An agent that knows your closed knowledge base — manuals, regulations, procedures, price lists, internal rules — and gives the exact answer on request. New staff learn from it; experienced staff stop searching PDFs.
If a task repeats and a model can do it, we wire it into your tools: document processing, invoice and delivery-note intake, content and image generation pipelines, voice agents, automated reporting, connections between the systems you already run.
The same core that runs the concierge, pointed at a company's own base. Here a technician on site asks where a bracket goes and gets the instruction, not a link to a 200-page manual.
Every answer is retrieved from your documents and shown with its source, so a manager can check it and a new employee can trust it. The agent only knows what you give it — no public internet, no guessing.
The same pattern covers onboarding quizzes, shift checklists, HR and compliance questions, product knowledge for sales, and guest-facing FAQs. Add a document, and the agent knows it the next minute.
Runs on your own servers in the EU or in a private cloud, with access rules per role and a full log of who asked what.
A sanatorium in the Carpathians. Guests ask about stays and treatment programmes at all hours; the front desk and the medical desk need every request in one place.
The concierge greets guests on four entry channels, quotes stays and programmes with dates and prices, and passes each request to the right desk as a structured card with the guest's own words. Staff take over when they want and hand back when they're done.
Every request becomes a guest card in the CRM automatically — booking, treatment, complaint or a simple question — with consents recorded and medical details kept out by design. The team asks the CRM questions in plain language and gets answers from the records.
The system is built and maintained by our own multi-agent engineering pipeline, so improvements the desk asks for on Monday are usually live by Wednesday.
Systems we have designed, built and tested end-to-end. Two run daily as our own tools; two are ready and waiting for a first client to switch them on.
A client uploads their photo, taps the body zone on an interactive map and describes the idea; the app renders the tattoo onto their own skin in seconds, so artist and client agree on placement and size before the first sketch.
Built and tested · not yet deployed
The same concierge, reachable by a normal phone call: a guest asks about stays and programmes and hears answers in their language from the same knowledge base; when a manager is needed, the agent takes the details and hands them over by SMS.
Built and tested · not yet deployed
A 3D map of a 460-file codebase: every module and dependency as a navigable graph, with real requests replayed on it step by step and live system-state panels alongside. Built so the team — and its AI agents — see how the system actually behaves, not just read logs.
In daily use · internal tool
A team of AI agents assembled around the client's system and handed over with it as an internal tool. The client's own team uses it to add functions, debug, keep the system under control and get analytics — without waiting for an outside vendor for every change.
In daily use · offered with every system we build
A short path from the first call to a system your team uses daily.
We walk through where guests, staff or customers get stuck today and pick the one flow that pays back first.
A working system on your data within weeks, on your servers or a private cloud, with your team testing it live.
New channels, new automations, new integrations — added as your process asks for them. Nothing is locked.
Tell us about the business and where people wait for answers. We'll reply with what we'd build first and what it costs.
oleg@szuhai.com