01
Telegram bots
Orders, bookings, notifications, payments right in Telegram.
01 What's included
What we do
We start with the task that eats up most of your team’s time and automate it.
02
Mini Apps
Mini apps inside Telegram: catalog, cart, customer account.
03
AI support
The assistant answers customers 24/7 and hands complex cases to a human.
04
AI for sales
Lead qualification, product recommendations, answers to FAQs.
05
RAG over your knowledge base
Search for answers across documents, policies and history.
06
Process automation
AI reads e-mails, requests and documents and fills in the CRM.
07
AI agents
They don’t just answer, they act: create deals, set tasks, change order statuses.
08
AI for e-commerce
Smart catalog search, recommendations, product descriptions and translations.
09
Call and chat analytics
Call transcription, manager performance scoring, reasons for lost deals.
Your task
Didn’t find what you need on the list? Tell us about your task – we’ll suggest a solution and estimate the timeline.
Discuss a project02 Focus areas
Example tasks
- Store in TelegramCatalog, cart, payment and order statuses.
- Support assistantAnswers about orders, shipping, returns.
- Internal assistantAnswers for employees from policies and the knowledge base.
- Document processingRecognition of invoices, waybills and requests.
- Notifications and reportsNew orders, stock levels, daily reports for the owner.
- Catalog in 4 languagesDescriptions, SEO copy and translations for thousands of product pages, reviewed by a human.
- Smart searchA shopper types “gift for mom under 2000” – and gets matching products.
- Sales quality controlEvery manager call is transcribed and scored against a checklist.
03 Integrations and technology
Models and integrations
OpenAIClaudeGeminiLocal models (Ollama)LangChainVector databasesTelegramWhatsAppSlackIntercomZendeskHubSpotNotionGoogle WorkspacePineconeWeaviatepgvectorWhisper (voice)TwilioSalesforce
Ratings and awards
Profile Clutchclutch.co
Profile GoodFirmsgoodfirms.co
Profile Freelancehuntfreelancehunt.com
IT-Rating 19client reviews
IT Rating of Ukraine Top 5 Laravel6 years in a row, 2020–2025
IT Rating of Ukraine Top 10 React2020–2024
● Guarantees
We work transparently
You know in advance what you will get, what it costs and when it will be ready.
Contract and NDA
We sign a contract and a non-disclosure agreement before work begins.
Fixed estimate per stage
The stage price does not change during work. New tasks only after approval.
Demo every two weeks
A staging server you can access: see what's done without waiting for the finish.
Your code and access
We hand over the source code, documentation and all access. The project is not tied to us.
Warranty period
After launch, we fix bugs found within the delivered scope for free.
Support after launch
We stay in touch: improvements, updates and growth, monthly or per task.
04 Questions
FAQ
Didn’t find the answer?
Leave your name and e-mail – we’ll reply by e-mail within one business day.
01How much does it cost to build an AI chatbot?
It depends on the channels (website, Telegram, WhatsApp), the data sources the bot must use, the integrations with CRM or helpdesk, and whether it only answers or also takes actions. We estimate after a brief. Separately, model usage is billed by the provider, and we calculate the expected monthly cost on your volumes before development starts.
02Is it safe to use AI with company data?
Yes, with the right setup. We use enterprise APIs from OpenAI, Anthropic or Google that do not train models on your data, restrict what each bot can access, and log its actions. If data must not leave your infrastructure at all, we deploy open-source models locally with Ollama on your own servers.
03Which LLM is best for a business chatbot?
There is no single best model: it depends on the task, languages, response speed and budget. We usually test OpenAI, Claude, Gemini and open-source models on a set of your real questions and compare answer quality and cost per request, then pick the one that performs best for your case.
04Can an AI chatbot replace customer support agents?
It takes over routine and repetitive questions such as order status, delivery terms and returns, so your team handles fewer tickets and responds faster to complex ones. Difficult or sensitive cases are handed to a person together with the conversation history, so the customer does not have to repeat anything.
05What is a RAG chatbot and when do you need one?
RAG (retrieval-augmented generation) means the bot first finds relevant passages in your documents, policies or product data and only then writes an answer based on them. It is the right choice when answers must be accurate and specific to your company, such as internal knowledge bases, support for complex products or policy questions.
05 Often ordered together
Related services
03CRM and ERP systemsCRM built around your processes: leads, deals, roles, reports. Connected to your website, telephony and accounting.
02Mobile appsiOS and Android apps built with Flutter: one codebase, fast launch and updates.
05Portals and web servicesBooking services, tender platforms, client portals, city and industry portals.
13Improvements and supportWe take over projects from other contractors, implement SEO specialists' specs and provide monthly support.● Learn more
AI chatbot development that removes routine from your team
AI chatbot development pays off when it takes over the task that eats most of your team's time: answering repetitive customer questions, taking orders, searching internal documents or filling in the CRM. not the same builds bots, AI assistants and AI agents on OpenAI, Claude, Gemini or local models, connected to your data and tools.
Read more
What we build
- AI support assistants that answer customers 24/7 about orders, delivery and returns, and hand complex cases to a person.
- AI for sales: lead qualification, product matching and answers to common pre-sale questions.
- Knowledge-base assistants (RAG) that answer from your documents, policies and history, with sources.
- AI agents that act, not just reply: they create deals, set tasks and change order statuses in your CRM.
- Document processing: emails, requests, invoices and delivery notes parsed and entered into your systems.
- Call and chat analysis: transcripts, scoring each sales call against a checklist, reasons for lost deals.
- Telegram bots and Mini Apps with catalog, cart, payments and order tracking.
AI integration for ecommerce and internal work
For an online store, AI powers smart catalog search, where a shopper describes what they need in plain words and gets matching products, plus recommendations, product descriptions and translations of thousands of listings with human review. Internally, an assistant answers staff questions from policies and the knowledge base, and daily reports and alerts about new orders or low stock arrive in Slack, Telegram or email. We integrate with HubSpot, Salesforce, Zendesk, Intercom, Notion, Google Workspace, WhatsApp and Twilio. Our article on how an AI assistant works in ecommerce shows typical scenarios.
Data security and running costs
We use enterprise APIs that do not train on your data, or deploy open models on your own infrastructure when data must not leave your servers. Before launch we test several models on your real questions and choose by answer quality and cost. Besides development, you pay the model provider for usage, so we calculate the cost per answer and the monthly budget on your volumes in advance. After launch we keep improving prompts and sources as part of ongoing development and support.
Let’s discuss automation
Describe your task – within one business day we'll reply with questions and a rough timeline estimate.