Hotel Intelligence — competitive intelligence platform
Competitor rates, occupancy and offers across the hotel market in one panel.
IT entrepreneur. Builder of AI systems, automation and technical solutions of any complexity.
Pick a question — you get the same answer you would get on a call: no slides, no promises.
With the process, not the technology. One conversation is usually enough to see where people move data between systems by hand and make the same decisions by the same rules. That is where we start: first connect what already exists, then remove the manual steps, and only then build what genuinely has to be built.
Ask your own question on TelegramFirst we work out how the job is actually done and where it stalls. Then we pick the tool for it — an integration, an automation, a service of your own or an AI system. And we take it to the point where people use it every day without us.
Systems, data, manual steps. The output: where technology pays off — and where it is better left alone.
1–2 weeksThe right tool for the task — an integration, an automation, a service or AI where it is needed. Scope, dates, metric.
about a weekDevelopment and wiring into your systems: access, integrations, logging, cloud or on-premise.
from 3 weeksTraining, working rules, support. The system has to run without us.
ongoingSites and platforms, bots and integrations, ML models since 2018, AI agents and autonomous systems today. Some are my own products, some were built for clients. The map holds only what reached production and ran with real users.
No projects in this track
Competitor rates, occupancy and offers across the hotel market in one panel.
A space strategy in the browser: colony economics, fleets and real-time battles.
A pilot for a green corporation: partner matching and a chain of meetings across markets.
Routes, stays and answers about island life, assembled by AI on request.
Contract review over the firm's own documents, citing the norm and the source.
Niche analytics and work with listings and bids on Wildberries and Ozon.
Screening, a reasoned decision per candidate and correspondence up to the interview.
Call transcription, review against a sales checklist and advice for each rep.
Listing localisation, platforms and logistics, supported in two languages.
A model that finds and sorts comments across social networks: spam and toxicity on one side, real questions on the other, with a moderation queue ordered by priority.
Planning, publishing and analytics across several networks from one place.
The agent works inside interfaces directly — where systems have no API.
Agronomy answers from verified sources and analysis of situations in the field.
AI assembles creative concepts while brands find the right authors for a campaign.
Agents running on models inside the company perimeter — no data leaves it.
Captures the client's requirements, picks listings and hands over a warm contact.
Answers in Telegram and WhatsApp from the knowledge base, escalating hard cases.
A shop front in Telegram: an order from the chat lands in the accounting system.
Working with VK communities and audiences: collection, segments and campaigns.
Bulk scenarios, campaigns and audience analytics in a single workspace.
Pipeline, documents and reporting built around one industry's real process.
Pairs student and teacher from questionnaires: goals, level and teaching style.
Price and market dynamics estimated from deal history and location parameters.
AI agents, websites and customer portals, Telegram bots, automated routine. Every format is a working system, not a demo.
Agents gather competitor data, cross-check sources and deliver a finished analysis in a single document.
From a landing page to a platform with an admin panel, payments and roles. Our hosting or yours, with analytics and SEO from day one.
Requests, payments, bookings and customer questions. The bot writes to your CRM and hands the hard conversations to a human.
Search across policies, contracts and the knowledge base. An answer with a source link — or a refusal when the data is not there.
Runs on a schedule, tracks signals across sources and sends a digest to Telegram or email on its own.
Scenarios that take the manual work away: CRM, spreadsheets, mail, messengers and your ERP exchange data on an event or a schedule.
Prices, listings, vacancies and reviews collected from sites and marketplaces into your own database, with alerts when they move.
A question about an export or a database returns the calculation, a chart and an explanation of where the numbers came from.
Takes the call, answers by voice from your documents, records the request and hands difficult cases to an operator.
Listens to the call, builds a structured summary and extracts decisions and tasks with owners — straight into your tracker.
The agent prepares a brief before the meeting: market context, arguments and the weak spots of a competitor's offer.
Screening applications against the role's requirements, an explanation for every candidate decision, draft emails.
Contract review against a checklist, version comparison, and back-office routine — invoices, acts, exports — on autopilot.
We go through your task: where AI genuinely helps, where it does not, what to do first and with which people.
We review processes and data, estimate the impact and assemble a prioritised rollout plan for the quarter.
Software of any complexity: sites, bots, AI agents, automation. A team, deadlines and stage-by-stage acceptance.
A business techno-thriller: Moscow in 2024 and 2045 in parallel. References and encrypted messages interweave with business insight and hands-on AI practice.
Neural networks in plain language: for anyone who wants to understand how they help with real tasks.
Software and AI systems developer with patents registered at Rospatent (FIPS). Expert on IT business and artificial intelligence for federal media.
Qualified in applied and general artificial intelligence at Bauman Moscow State Technical University. Studied Foundational Leadership at Harvard University. Master's degree in Digital Technologies in Management at RUDN University. Mentor at the Future Leaders of Russia foundation.
Over the past five years I have attended some 300+ conferences and spoken at 12 of them, two of those international.
A short conversation is usually enough to see what the task actually needs, how much work it takes and where it makes sense to start.