— Senior AI product team · Since 2022

We build AI-enabled product systems that ship, run, and earn

AI agents, internal assistants, product MVPs, sophisticated chatbots, and AI systems over company data. We ship AI to production and keep it running.

Tell us what you're building → See projects

4+ years on the market

20+ projects completed

Limited availability

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.

Trusted by

Almaty Marathon

DreamBody.ai

— 02 / SERVICES

Services

AI agents, assistants, and MVPs

All services

01 / Agents

AI Agents & Process Automation

Agents for WhatsApp, CRM, HR, support, documents, and handoffs. Built around real workflows, tools, and escalation paths.

CRM workflowsMessenger agentsHuman handoffMultilingual

02 / Product

AI Assistants for Company Data

Internal ChatGPT-style assistants over documents, knowledge bases, CRM, and files, with sources, access rules, and RAG where it matters.

Document searchInternal ChatGPTRAGAccess rules

03 / Launch

Product Engineering & MVPs

Web products, prototypes, and AI pilots for startups and corporate teams that need to launch quickly.

Web productsPrototypesAI pilotsMVP build

04 / Systems

AI for Sales, HR & Support

Department workflows for teams that handle leads, candidates, tickets, documents, CRM updates, and repeated customer questions.

Sales workflowsHR automationSupport opsCRM handoff

05 / Training

Corporate AI Training

Practical sessions for teams using Claude Code, Codex, Cursor, ChatGPT, and internal AI rules in real work.

Claude CodeCodexCursorAI usage rules

06 / Creative

AI Video & Ad Generation

Pipelines for campaign variants, scripts, avatar and voice APIs, review workflows, and brand-safe production handoff.

Creative variantsVideo APIsReview flowBrand guardrails

— 03 / OUR WORK

Projects

AI development case studies

All projects

AI Agent · HR · Enterprise

Magnum HR Agent

An AI HR agent for a Kazakhstani retail chain: candidate screening, internal knowledge, vacancy fit, and recruiter workflows.

Built: Conversational agent, admin panel, knowledge ingestion, eligibility logic, age logic, notification flows.
Stack: Internal HR systems · Infobip · WhatsApp · Multilingual LLM

AI Platform · EdTech

LiftEd

An AI platform for schools that turns checked work into a clear map of knowledge gaps, progress, and next steps.

Built: Work checking, gap diagnostics, knowledge map, adaptive practice, school analytics, and role-based product flows.
Stack: LLM grading · Adaptive engine · Role-based UIs · Analytics

RAG · Retrieval · US Market

Automotive RAG Assistant

An AI assistant for automotive operations: cars, service, orders, part compatibility, and internal knowledge across several data sources.

Built: Multi-source retrieval pipeline, multi-stage ranking system, automatic query processing.
Stack: Hybrid search · Reranking · HyDE · Agentic RAG

AI Infrastructure · Telegram Mini-App · Events

Kaizen Club · TheNext

AI infrastructure for a three-day business summit in Abu Dhabi — one Telegram Mini-App that carries every attendee from the first click on a ticket to materials after.

Built: Telegram Mini-App, sales bot, QR access and smart seating, Kai Tinder networking, AI business diagnostic with PDF, interactive AI avatars, AI talk recaps, custom admin panel.
Stack: Telegram Mini-App · Telegram Bot · HeyGen · ElevenLabs · Multi-LLM · Stripe + TipTopPay + PayForm · Bitrix CRM

Product · Forecasts · MVP

jua.ai

The first working version of jua.ai: a clear web product for forecasts, interactive maps, charts, alerts, customer access, and scalable infrastructure.

Built: Web app, forecast interface, interactive maps, charts, alerts, authentication, API access, and AWS infrastructure.
Stack: Web app · Forecast UI · Alerts · Auth · AWS

AI Agent · Events · Participant Support

Almaty Marathon

An AI support agent for one of the largest running events in Central Asia, answering participant questions and routing edge cases.

Built: Support agent, event rules ingestion, policy updates, QR and pack-pickup flows, escalation logic.
Stack: LLM agent · Knowledge ingestion · Escalation routing

— 04 / ARTICLES

Articles

Sharing hard-won production experience

All articles

AI cost

How much does AI implementation cost in Kazakhstan?

A practical pricing guide: when a builder is enough, when production engineering starts, why evals belong in the budget, and why private deployment changes the number.

evals

Why AI projects need evals

Evals are not vanity tests. They show where an agent fails, whether a change helped, and whether a new version is safe to ship.

RAG

How RAG works and why vector embeddings are not enough

Production RAG is not just a vector database. It needs full-text search, hybrid retrieval, reranking, metadata, evals, and user feedback.

— 05 / HOW WE WORK

A process that respects your time

Discover

Short calls. Honest questions. We map the real problem before we price anything.

Scope

A written scope you can read in ten minutes — outcomes, risks, milestones, price.

Build

Senior people on the keyboard. Weekly demos. You watch the system grow in working software.

Iterate

We ship to real users fast, watch what they do, and harden what matters.

Launch & Support

Launch day, handover, and a support runway for the messy first weeks after release.

— 06 / THE TEAM

Small team. Deep track record

We stay small on purpose. This shape lets the founder stay close to every project and only take work where the team can be genuinely useful. The team has been building together since 2022; the founder has been shipping serious systems for over 20 years.

Team →

— 01

Senior people, closer to the work

The people scoping your project are the ones building it.

— 02

Fewer handoffs, direct comms

One shared channel. Most decisions happen the same day.

— 03

Product thinking, with technical judgment

We push back on specs that lead to weak products. We help shape the thing and get it shipped.

— 04

Founder involved, every engagement

Azamat is in the room for scoping, key decisions, and delivery risk — every time.

— 07 / FAQ

FAQ

If something isn't here, write to us. We reply in one business day

Founders and operators at seed → Series B companies, plus mid-market teams inside larger organisations. We work best with people treating AI as business infrastructure.

A small senior team, founder-led, building together since 2022. You work with the core team directly. The founder's earlier Upwork and Codementor history is real, but it's the past; the team you'd be working with is the present.

Most engagements start within 1-2 weeks of a signed scope. Urgent production work can start sooner when a slot is open.

Either fixed-scope delivery (4-12 weeks) or a monthly retainer for product teams that need ongoing senior capacity. Both include weekly demos and a shared channel.

Both. If you arrive with a tight spec, we'll pressure-test it. If you arrive with a problem, we'll help shape the product. We'd rather cut features than ship the wrong thing.

You do. Full IP transfer is the default from day one. Everything lives in your repos, your cloud, your accounts.

We offer a light support runway (bugs, monitoring, minor iteration) for a fixed monthly fee, or a full retainer if you want us embedded.

Brochure sites, design-only engagements, and thin LLM wrappers are better handled by a different team. We're upfront about this because it saves everyone time.

— 08 / NEXT STEP