— TEAM

A small team. Real depth.

We are a small product team that builds custom AI for business — agents, RAG, GPT integrations, and operational automation. We work directly, with no middle layer. The founder has 20+ years in serious engineering.

— 01 / EXPERIENCE

Experience

The team has worked together since 2022. Before that, the founder built infrastructure and products for companies of very different scale — from global platforms to industrial startups.

  • 01

    Demonware (Activision · Call of Duty) — multiplayer backend infrastructure for tens of millions of players.

  • 02

    biometric.vision — CTO. Computer vision and identity pipelines in production.

  • 03

    Santufei / Kaspi Travel — Lead Developer. High-load product platform.

  • 04

    gdematerial — CTO. SaaS architecture and build from zero to revenue.

  • 05

    Olympus DAO — DeFi infrastructure and contracts in a multi-billion economy.

— 02 / PROCESS

A transparent process

No proprietary framework, no hiding behind methodology. The logic is simple: understand the root of the brief, take the shortest path to a working result, ship it.

01

Root of the brief

We start by figuring out what is actually broken in the client process and where AI gives real leverage. We do not build "AI-on-top-of-everything" — we build where there is data, repeatability, and ownership.

02

Honest scope

A written scope: what is in, what is out, risks, checkpoints. If the brief is bigger than the team can carry, we say so up front.

03

Prototype in 2–4 weeks

A working prototype on your data and integrations — before the extended contract is signed. If the prototype does not show a result, there is no point continuing.

04

Production and support

Production with metrics, logs, and a clear admin panel. After that — support and iteration against real-world scenarios.

— 03 / PRINCIPLES

Principles

One channel, no middle layer

You talk directly to the people writing the code. No account managers, no week-long approvals.

Root, not symptom

Before fixing the prompt or the UI, we find where in the process the pain is. AI does not heal a broken process.

Product logic, not service logic

We think like a product team: what the user does, what we measure, what gets better after release.

Technical honesty

If an LLM is not the right fit — we say it. If the brief is solved by classical ML or without AI — we say it. We hold an internal "build it for ourselves" bar.

Speed without throwaway work

A prototype in weeks, but not the kind you rewrite after the demo. We build it so it can travel to production.

Long-term work

Most clients stay with us on support and iteration after the first release. That is the quality metric we look at first.

— 04 / STACK

Stack we work with

OpenAI, Anthropic, local LLMsHeyGen, ElevenLabsHybrid search, reranking, HyDE, agentic RAGVector DB · pgvector · PineconeTypeScript · Node · PythonPostgreSQL · Supabase · RedisAWS · Vercel · SSTTelegram Mini-App · WhatsApp · InfobipStripe · TipTopPay · PayFormBitrix · amoCRM · 1C
— 05 / TEAM

Team

Names and roles. Everyone ships on real projects.

Azamat Galimzhanov

Founder · Tech Lead

Murza Alkhabay

Frontend Engineer · Design

Yerassyl Serzhanuly

AI engineer, Software engineer

Taubuzar Nurlykhan

AI engineer, Software engineer

Tell us what you're building.

Start with a few details

We reply within one business day. Then Azamat joins every first call personally, so you get an honest scope, budget, and fit from the person responsible for delivery.

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