Routine to agents. Decisions to people.

We embed AI agents into business operations — connected to your systems, running on your servers, tuned to your processes.

Discuss a pilot →

Where time goes

Tasks too small to delegate, too many to ignore

Appointments, requests, reports — each takes minutes, together they take hours.

Expertise lives in people, not systems

When someone leaves, knowledge leaves with them. Policies exist but nobody consults them.

Data exists, but it's silent

ERP, databases, spreadsheets — data is scattered, nobody aggregates it, nobody acts on it.

How it works

RequestAGENTLLM— brainMCP— handsRAG— memoryReportERP / 1СDatabasesCRM / API

LLM — brain

Language understanding, reasoning, decision-making

MCP — hands

Standard interface to tools and external systems

RAG — memory

Answers from your corporate knowledge base, in context

Meet the agents

The Documentalist

Technical drawings, specs, contracts. Reads, structures, and generates documentation.

The Analyst

KPIs, sales, operations. Pulls data from multiple systems, builds reports, flags anomalies.

The Communicator

Customers, partners, internal requests. Responds, routes, and books appointments.

The Knowledge Curator

Regulations, standards, knowledge base. Onboarding, training, recurring questions.

The Integrator

ERP, 1C, CRM, databases. Connects agents to your systems without rewriting infrastructure.

Case studies

Beauty salon

The administrator booked clients manually — scheduling conflicts, missed calls, no service outside business hours.

A Telegram agent accepts bookings in natural language, syncs with schedule and 1C. Bookings run 24/7.

Manufacturing

Engineers spent 4–6 hours writing CNC programs manually for each drawing.

The agent reads the drawing and generates G-code — the engineer just reviews. Programming time down 80%.

Enterprise

New employees spent weeks onboarding: policies scattered, no single source of truth.

A knowledge agent answers policy questions and guides through processes. Onboarding reduced from weeks to days.

Your data stays inside

Local deployment

Data stays on your servers — no external cloud

Open-source models

DeepSeek, Llama, Qwen — no dependency on foreign providers

Data compliance

Compliant with data protection law

How we work

01 Audit

We study your processes and find automation opportunities

02 Pilot

A quick MVP on one process — 2–4 weeks

03 Integration

Connecting to your existing systems

04 Scale

Expanding to other processes

Let’s find where your time goes

Get in touch — we'll discuss your process and show how an agent can help.