AI integrations
Chatbots, assistants and LLM/MCP automation.
We ship AI where it genuinely saves money: lead qualification, customer replies, document processing, report generation, knowledge-base search.
What's included
- AI sales assistants with CRM access
- Chatbots for sites and messengers with memory and brand voice
- Document processing: invoices, UPD, contracts, acts
- RAG over knowledge bases with source citations
- MCP servers to connect ads, analytics and CRM
- Quality evaluation, hallucination monitoring, request logs
Stack & tooling
- OpenAI
- Anthropic Claude
- Google Gemini
- OpenRouter
- pgvector
- n8n
- LangChain
- MCP
How we work
- 1
Brief: understand the task and goals, free of charge.
- 2
Scope & estimate: fix scope, stack, timelines, sign the contract.
- 3
Design & prototypes: iterations to approval.
- 4
Build: demos every 1–2 weeks, transparent tracker.
- 5
Launch & support: deployment, team training, ongoing support.
Timeline & budget
Budget
from $1,500
Timeline
from 3 weeks
Frequently asked
How much does it cost to run AI in production?
Depends on traffic. For a sales team handling 200 leads/day, token costs are $30–80 per month. For high-traffic chatbots, $300+ per month.
Will our data leak into training sets?
We use API mode with enterprise policies (OpenAI Zero-Data-Retention, Anthropic Business). Data doesn't enter training sets.
Can you do on-prem inference?
Yes — we deploy open-source models (Llama 3, Qwen 2.5, DeepSeek) on your server or GPU hosting. We assess feasibility based on load.
Discuss a project
Send a brief or an idea — we reply within an hour with a preliminary estimate.