AI assistantsthat know your business

We connect neural networks to real tasks: an assistant answers customers from your knowledge base, and a system reads invoices, receipts and contracts and moves the data where it's needed.

Trained on your knowledge base
Hand-off of complex questions to a manager
Document recognition (OCR) with review
Connection to CRM and messengers

Discuss a project All services

Price

calculated after the brief

Timeline

depends on the task

Format

Turnkey, with support after launch

sound familiar?

Problems we solve

The same questions every day

Support and sales spend hours on routine answers about prices, deadlines and terms.

Documents are entered by hand

Invoices, receipts and contracts are retyped into spreadsheets and accounting systems, which is slow and error-prone.

A generic chatbot doesn't help

A general-purpose chatbot doesn't know your range, rules and customers, so its answers are inaccurate.

We connect neural networks to your data: knowledge base, catalog and regulations. The assistant answers to the point and hands the conversation to a manager when it isn't sure. Document processing extracts the needed fields and sends them to your system, leaving only the review to a person.

AI helpers

Which AI helper does your business need

AI consultant for customers

Answers customer questions in Telegram and on the site from your knowledge base, helps choose a product and collects a request.

AI helper for employees

A corporate knowledge base: instantly answers employees' questions about policies and instructions.

AI for documents

Reads invoices, receipts and contracts, extracts the needed data and moves it to a spreadsheet or your system.

AI request dispatcher

Works out the topic and urgency of a request and routes it to the right manager.

how it works

A dialog with the assistant from a question to an answer

AI assistant

example dialog

Hello! Is there a warranty on the repair?

Yes, completed work is covered by a warranty. The term is stated in the contract. Source: "Service terms".

Can I get a refund if the result did not suit me?

It is better to clarify this with a manager. I am passing our dialog to them, and they will reply during working hours.

OKCall me

✓ The dialog was passed to a manager with its history

The customer asks a question

In Telegram, on the site or in another channel

The assistant searches the knowledge base

Takes the needed fragments of your documents and catalog

Answers to the point

With the source named, in your style

Unsure: hands over to a person

The manager gets the whole dialog

You improve the base

You see unanswered questions and add knowledge

integrations

What we connect

The assistant answers customers right in the bot, and the manager gets notifications.

Your website

A chat widget on the site with a shared knowledge base.

AmoCRM

Requests and contacts from dialogs land in the CRM as deals.

Bitrix24

Requests become leads and deals with the dialog history.

Google Sheets

Recognized documents and requests are exported to a spreadsheet.

Email

Drafts of replies and processing of incoming emails.

SMS

Notifications to customers and employees.

Your server and API

Data exchange with your website, accounting system and other services.

Accounting and stock

Data on products, stock and orders, if the system has an open API.

Your documents

PDF, Word, Excel and photos of invoices as a source of knowledge and data.

how it works

Work stages

Brief and data

We define what the assistant should do, in which channels and from which data. We look at what documents, catalogs and example conversations you have.

Knowledge base and rules

We collect and structure the documents and write the rules: what the assistant answers, what it does not do and when it hands over to a person.

Build and testing

We connect the model to the base, the channels and your systems and test on real questions. We fix inaccurate answers before launch.

Launch and improvement

We launch and look at which questions the assistant could not answer. We extend the base and refine the rules, and hand over the code and access.

examples

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price & timeline

What it costs

We name the exact price and timeline after a short brief, once the scope is clear. The final price depends on:

Volume and quality of source dataChannels: Telegram, website, messengersType and number of documentsReview and data protection requirements

How payment works

50%

50% prepaymentWe start work after the prepayment.

The balancePaid on a schedule agreed in advance.

The code and access are yours

Price

calculated after the brief

Timeline

depends on the task

Get an estimate

estimate

Describe your task — we estimate for free

Leave your contact and a few words about the task. We reply within a few hours.

✓

questions

Frequently asked questions

A neural network can make mistakes, how do you handle that?

The assistant answers from your knowledge base and cites the source, and on complex or disputed questions it does not answer itself but passes the dialog to a manager. We set the answer rules together with you. When processing documents we send doubtful values to a person for review.

Where is our data stored?

We discuss the requirements in advance: what data may be passed to a neural network and how to store it. We choose a scheme that fits your security rules.

Can the assistant work in Telegram and on the site at once?

Yes, one assistant can work in several channels with a shared knowledge base.

What knowledge base is needed and what do you need from me?

Documents, a price list, an FAQ, examples of real questions and answers, policies. They do not have to be prepared perfectly: we structure the materials together with you.

Which model do you use?

We choose the model for the task: we consider answer quality, speed, cost and data requirements. We name the specific solution after the brief.

How much do requests to a neural network cost?

Payment goes to the model provider based on usage and depends on the number of dialogs. We give an approximate estimate of the costs at the brief stage.

How does document recognition work?

The system extracts the needed fields from a photo or PDF and writes them to a spreadsheet or your system. Values it is unsure about are flagged for an employee to check.

Can I update the assistant's knowledge myself?

Yes. We set up a clear way to update it: uploading documents or editing a spreadsheet. We choose the specific option to fit your process.

What happens after launch?

During the 1–3 month warranty period we fix bugs for free. Extending the knowledge base, new features and further support are discussed separately.

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