AI assistant on your data
A chatbot that answers from your knowledge base, policies and catalog — on your website, in Telegram or inside your CRM (RAG).
// AI & machine learning
AI development and chatbots for business
We apply AI where it saves time and money: assistants that know your documents, agents that complete tasks on their own, and automatic processing of leads, emails and files.
What we build
LLM agents
Agents that do the work: look up data, update the CRM, draft proposals and reports.
Document processing
Data extraction from invoices, contracts and forms; classification of emails and requests.
Voice bots
Speech recognition and synthesis, AI operators for inbound calls and call analytics.
Computer vision
Object detection, quality control, counting and image or video analysis.
Audit & strategy
We find the processes where AI pays off, model the economics and run a pilot.
How we work
- 01
Discovery
We review the process, data and expected impact, then choose the approach and model.
- 02
Pilot
A quick prototype on real data to validate answer quality.
- 03
Development
Integrations, interface, data protection and answer quality control.
- 04
Launch & tuning
We launch, collect feedback and improve accuracy over time.
Timeline and cost
An AI assistant pilot can go live in a couple of weeks and be tested on real questions right away. A full solution with integrations takes longer. The cost has two parts — development and model usage — and we estimate both upfront.
Send a briefWhat drives the price
- Volume and format of data
- Cloud or self-hosted model
- CRM and internal system integrations
- Security requirements
- Channels: website, Telegram, phone
- Load and request volume
FAQ
How much does AI implementation cost?
It depends on the task and the amount of data. We suggest starting with a pilot: it costs less and shows within a couple of weeks whether the solution pays off.
Will our data leak to OpenAI?
By default, data sent through the OpenAI and Anthropic APIs is not used to train models. For sensitive data we deploy open-source models on your own server, so the data never leaves your infrastructure.
What is RAG and why do we need it?
It is an approach where the model answers from your documents instead of guessing. The assistant stays accurate and cites its sources.
Which model do you use — GPT or Claude?
We pick per task by comparing quality, speed and cost on your data, and often combine several models.
Can AI be added to our existing system?
Yes. We connect AI to your CRM, website, Telegram or internal portal via API.
Let’s talk about your project
Describe the task in the brief and we’ll send a stage-by-stage estimate. Or message us on Telegram — we reply within 30 minutes during business hours.