Enterprise AI Automation

Your operational processes.Our autonomous AI agents.The result — your profit.

We build digital teams of AI agents that autonomously run entire business functions — from customer service to back-office operations.

Dozens of AI agents work for you 24/7, without human intervention.

Learn more
Who it's for

Recognize yourself

If at least one scenario sounds like your company — we have something to discuss.

🛒

Customer service is consuming the team

E-commerce & Retail

Processing orders, returns, customer replies — 5 operators around the clock

📺

Content production doesn't scale

Media & Content

Need 30 articles / videos per week, but the team delivers 5

🏦

Manual document review is the bottleneck

Fintech & Insurance

Document verification, applications, scoring take days and require lawyers

⚙️

Want AI in the product — no expertise

B2B SaaS & IT

Want to add AI to the product but lack LLM expertise

🏭

Operational reporting is manual Excel

Manufacturing & Logistics

Planning, procurement, reporting — Excel spreadsheets, manual entry, errors

What we build

Four classes of AI systems

Each solution — turnkey. Code, tests, documentation, deployment.

An entire department — without a single employee

Imagine a department of dozens of specialists that researches the market, prepares reports, creates content, verifies quality and publishes results — in parallel, around the clock, without days off. This is not outsourcing or freelancers. The AI team takes on the full cycle of a business process: from an incoming task to a finished result. You remove payroll, turnover, sick days and human error from the process — and get a predictable output every day.

Operational costs for the process drop 5–10x. Example: video production — $200 → $3 per video.
FastAPIRedis StreamsPostgreSQLClaude / GPT-4o

The AI brain of your company

All expertise, data and knowledge of the company — a single intelligence layer that sees hidden connections between projects, departments and documents. Not a reference book — an organ of thinking. Connects to any source: files, email, CRM, GitHub, cloud storage.

Employee onboarding: 2 weeks → 1 day. Search accuracy verified by RAGAS
QdrantKnowledge GraphMCP Server7 connectors

Full control of all AI processes — in one screen

When AI is running dozens of processes simultaneously, you need transparency: what is happening, where is the bottleneck, where is quality slipping. A unified command center shows the status of every task in real time, automatically redistributes load and blocks substandard results before they reach the client. You manage AI operations like a business — through metrics, priorities and quality control, not through code.

Scale AI processes without losing quality or needing a technical team to oversee them.
Process AuditROI MapMission ControlCustom LLM

From idea to working product — in days, not months

Launching a new digital product typically costs months of development and hundreds of thousands in budget. Our system autonomously designs the architecture, generates and tests code. This means you can validate business hypotheses 10–20x faster than competitors and spend far less before the first revenue. Launch at startup speed with enterprise-grade reliability.

A working digital product in 5–10 days instead of 3–6 months. Development costs — 70% lower.
FlutterNext.jsPythonApp Store / Play Store
Proof of expertise

Production systems running right now

Not slide concepts — real code, real results, open architecture.

Autonomous app factory

From idea to Google Play — without a dev team

🤖
before
6 mo
time-to-market
after
72h

The system finds market niches on its own, generates the concept and assembles the application from the first screen to store publication. Every decision passes through a board of 4 independent AIs (GPT-4o, Claude, Gemini, DeepSeek) that evaluate and challenge each other in parallel — like four partners on a board of directors. One person manages the entire process like a conductor. 553 automated quality checks — not one failed.

6 months → 72 hours. One specialist = a team of 8–12 developers.
Python/FastAPIRedis StreamsPostgreSQL4 LLMs in parallel
Google PlayApp StoreRuStore
Multi-platform content factory

Video production across 6 platforms — with one click

🎬
before
$200
per video
after
$3

A fully autonomous factory: the system receives a topic, writes the script itself, selects a voice from 5 dubbing studios, edits the video, translates it into the required languages and simultaneously publishes to YouTube, Instagram, TikTok, VK, Rutube, Pinterest. The entire process runs without a producer, editor or SMM manager. Localization and distribution happen in parallel, not sequentially.

$200 → $3 per video. One piece of content → 6 platforms × multiple languages → zero manual work.
Python/KafkaMinIO/FFmpegAzure/ElevenLabs/HeyGen6 platforms
Mission Control for AI development

Control room for 20+ AI agents in real time

⚙️
before
1
agents / 1 dev
after
20+

When dozens of AI agents are running in parallel, you need a unified command center. The application automatically discovers all active AI sessions, displays their conversations in real time and detects when an agent is waiting for a human decision. One operator controls 20+ agents — like an air traffic controller managing aircraft. No request gets stuck without a response.

Response to an agent request — ~3 seconds. 1 engineer = the output of a team of 20+ specialists.
ElectronWin32 APIWMIWeb Audio API
Corporate knowledge base

AI analyst that reads all your documents and surfaces problems on its own

🧠
before
2 wk
onboarding
after
1 d

4-way hybrid search: Dense vector + BM25 keyword + graph traversal + Reciprocal Rank Fusion. 7 connectors: Google Drive, Gmail, Yandex Disk/Mail, GitHub, Obsidian, URL. Backend: Qdrant + Neo4j. Intelligence layer: Daily Briefing, Expertise Passport, Gap Analyzer, contradiction detector. KG extraction with 3-iteration critic loop. MCP server integrated with Claude.

New employee onboarding: 2 weeks → 1 day. Critical issues visible to management before anyone asks.
QdrantNeo4jAI MCPRAGAS eval
Why us

Everyone uses AI. Few actually control it.

The difference is not in tools — it's in architectural depth.

Typical market
Synthelion

n8n + GPT node

One trigger — one action. Breaks on edge cases.

Multi-agent pipeline

Dozens of agents, parallel processing, autonomous decision chain.

LLM generates code → developer fixes it

AI speeds up the human. The human is still needed at every step.

Agent writes → agent reviews → agent deploys

No human in the production loop.

One model — one decision

No cross-validation. Errors pass unnoticed.

4 reasoning models in cross-validation

Every decision is verified by an agent system, not a single prompt.

Automation of individual tasks

Requires a team to support, develop and control.

Autonomous production system

The pipeline runs itself and replaces an entire department.

This is not AI integration. This is a production system.

Zero-risk process

Proof first. Contract second.

You don't sign up for a big project blind. First we show results on your data — then you decide whether to go further.

MVP · First stage
01

Review: find where money leaks

30-minute call. You share your pain — we show where AI delivers measurable return. No obligations, no sales. If there's no potential — we'll say so honestly.

02

Plan: you see the solution before we start

We build a roadmap: what to automate, how much it costs, what it returns. You understand every step before spending a penny.

MVP
Quick win

Quick win: AI working on your data

In 2–4 weeks we build a working system on your real data — not a presentation, not slides, but a live result you can touch. You see with your own eyes: this is how AI solves your problem, this is how much it saves. Costs far less than a full project. After that — it's your call: if the result works, we scale. If not — you've risked nothing.

Your decision

continue?

Full project
03

Scale: deploy the full system

We turn the proven solution into a full autonomous system. Every two weeks — a visible result. No black boxes: you control every stage and the budget.

04

Launch: the system earns, you're in the black

AI is embedded in your processes and runs without manual intervention. The team is trained, metrics are transparent, ROI is in numbers. We stay in touch until the system hits its targets.

Small budget, fixed result — then you decide on the full project

Team

Who you'll work with

Direct contact with engineers. No account managers. You talk to the people who make the decisions.

В

Vladimir Kharlashko

Founder · CTO · AI Architect

15+ years as enterprise CTO: PGK ($1.5B revenue, 150+ IT initiatives/year, direct report to CEO), PARMA Technology (650 people, P&L ₽500M+/year), Raiffeisen Bank — VP Engineering (80+ parallel R&D projects, AI and blockchain in production). Architect of PARMA's corporate AI strategy: ~50% average labor cost savings across 20+ specializations, 500+ professionals. Now building autonomous AI systems for business from scratch.

15 years enterprise CTO: PGK ($1.5B), Raiffeisen, Moscow Exchange
AI transformation of 500+ specialists: ~50% labor cost savings
Architect of 27-agent pipeline, 11 microservices, 553 tests
Expert: Claude, GPT-4o, Gemini 2.5 Pro, DeepSeek
MK

Maxim Khoroshilov

Co-founder · AI Architect · Tech Owner

Head of Architecture Department, PARMA TG

Designed systems for a company with 650+ people. Knows how architecture breaks under load — and how to build so it doesn't. Went through real enterprise deployments with Vladimir, not in a test environment.

SO

Semyon Obolensky

Co-founder · AI Architect · Tech Owner

Deputy CTO, PARMA TG

Made key technical decisions at the company-wide level — understands not just how to build a system, but how it will live inside a business a year from now. Has seen elegant technical solutions shatter against the reality of production operations.

+ Network of 12 proven specialists: we scale the team in 48 hours if needed.

Investment

See it work first — then scale

Each step delivers measurable results. You don't pay for the big thing until you've seen the small thing work.

Process Review

Free

30 minutes — and you understand where AI will genuinely save you money, and where it's not worth starting. No obligations.

  • Map of the processes consuming the most resources
  • Payback calculation: how much comes back and when
  • A concrete plan — what to automate first and why
  • Honest assessment: whether AI fits your specific case
Book a review
Recommended

Pilot on real data

from ₽700,000

We take one process, launch a working MVP/POC on your data in as little as 2 weeks. You see the before/after numbers — and decide whether to go further.

  • Working solution from 2 weeks — not a presentation, but results in numbers
  • Measurement report: speed, cost, errors — before and after
  • Full package for your team: code, diagrams, documentation
  • A basis for your decision: scale, adjust or stop — without losses
Launch a pilot

Autonomous process

from ₽3,000,000

An entire process or department function runs without manual labour. The system makes decisions, executes tasks and reports — 24/7.

  • The process that used to require a whole department — now runs autonomously
  • Full handover: system, source code, documentation — all yours
  • Delivery in 3–6 months with a visible result every 2 weeks
  • 12 months of support: updates, improvements, uptime guarantee
Discuss your task

Exact cost — after a free review. You risk nothing on the first step.

30 minutes that will pay off

Let's talk about your business

The first call is with the CTO who spent 15 years building IT for $1B+ companies — not with a sales manager. No presentations, no pressure. Just specifics about your processes.

// In six months AI will be at your competitors. The question is — will it be at yours.

  • We'll find where AI can deliver the fastest results in your business — and where it's not worth trying yet
  • We'll show on your specific example how much automation costs and when it pays back
  • You'll leave with a clear picture — even if you decide to do it yourself or with no one