AI Development Kazakhstan

Order AI Bot Development in Almaty

Custom AI solutions: chatbots, RAG systems, recommendation systems. AI integration into business processes.

Why work with us

Design before development

We start with understanding the task. No code until we design.

Architecture for scale

We build scalability from day one.

One team

The same people who designed — build and take responsibility.

How we run a project

Diagnose → Design → Build → Evolve. No hourly billing — each phase has a clear deliverable.

Diagnose

Discovery — understanding the task

We study the business domain, risks, constraints. Output is a Lean Spec with architectural decisions.

2–4 weeks · fixed price

Design

Architecture & UX

We design the system, interfaces, integrations. At this phase we lock the final price and timeline.

1–3 weeks · fixed price

Build

Implementation

Same team builds what they designed. Demos every 2 weeks, fixed price holds.

1–4 months · fixed price

Evolve

Support & growth

Monitoring, incidents, new features. Subscription with clear SLA, same team.

3+ months · subscription

Technologies

OpenAI / GPT

LLM integration

RAG / LangChain

Knowledge base search

AI Bots

Chatbots & assistants

ML Models

Recommendations, classification

What we build

We develop AI solutions for your tasks — from idea to production.

AI chatbots & assistants

RAG systems

Recommendation systems

LLM integration into products

AI automation

NLP & text processing

ML pipelines

AI consulting

How to start

We don't start with code. Start with discussing your project.

Learn our approach

Estimated price range

Exact price — after Discovery. These ranges are for the KZ market in 2026.

Starter

2–8M ₸

LLM integration or chatbot: OpenAI/Anthropic API + basic logic, MVP in 3-6 weeks.

Production

8–30M ₸

Custom AI product: RAG, fine-tuning, vector DB, production infrastructure.

Enterprise

30M+ ₸

Enterprise AI platform: multi-tenant, security, on-prem, long-term support.

Cities We Serve

We build AI solutions for businesses across Kazakhstan

Almaty

Main office. AI bots, RAG systems, ML models for fintech and e-commerce.

Astana

Astana Hub resident. AI projects for government and enterprise.

Karaganda

AI automation for industrial companies and B2B sector.

Shymkent

AI bots and recommendation systems for southern KZ retail.

Aktobe

AI deployment for companies in western Kazakhstan.

Atyrau

AI solutions for oil & gas and service companies.

Related services

Often launched in the same engagement

Web development

Web interface for AI services and admin panel.

Learn more →

DevOps & cloud

GPU infrastructure, MLOps, monitoring.

Learn more →

Mobile development

AI features in iOS/Android apps.

Learn more →

Questions & Answers

Frequently Asked Questions

How can AI help my business?

What is RAG and why does my company need it?

What data is needed to start?

Is it safe to share data with AI?

How much does an AI solution cost?

How can AI help my business?: AI automates routine tasks (support chatbots), improves information retrieval (RAG), forecasts demand, and personalizes offers. This reduces costs and increases customer loyalty.
What is RAG and why does my company need it?: RAG (Retrieval-Augmented Generation) allows AI to answer questions using your internal knowledge base, not just generic public data. It creates a 'Second Brain' for your company — searching through docs and regulations.
What data is needed to start?: It depends on the goal. For RAG, we need text documents (PDF, Notion, Docs). For forecasting — historical data (Excel, CSV, DB). We can help conduct a data audit.
Is it safe to share data with AI?: We use Enterprise solutions (Azure OpenAI, AWS Bedrock) or locally verified models (Llama), ensuring your data is NOT used to train public models and stays within your security perimeter.
How much does an AI solution cost?: An AI pilot (e.g., a smart chatbot for internal knowledge) starts from $5k and takes 4-6 weeks — this is a focused integration, not a full product MVP. Complex Custom ML solutions are estimated individually after a Discovery phase.

This is what we build after design

First we diagnose and design. Then we implement — same team, same context.

Discuss project