Taking new projects · Almaty, GMT+5
Working AI in eight weeks
Senior engineers find where AI saves your business money, then build it to production. No agency markup, and you own every line of code.
10M+
users on systems our engineers built
Our engineers' track record
3B+
documents searched in 500 ms
Marketplace search
14
products shipped to production
AI, web, mobile
Since 2017
building production software
Almaty, Kazakhstan
Selected work
Products that are live today. Open a card for the story and the stack.
National learning platform, Kazakhstan
40,000+ usersOpen Juz40, opens in a new tab
EdTech platform with an AI advisor
100,000+ installsOpen Eduser, opens in a new tab
Corporate platform for a global logistics group
Enterprise · liveVertical SaaS for car-wash networks
Live in 5 citiesOpen AquaCRM, opens in a new tab
Digital tokens for corporate spend
Fintech · mobileOpen Takon, opens in a new tab
National olympiads and teacher certification
National platformOpen Akadem.kz, opens in a new tab
AI sales agent for Instagram and WhatsApp
AI agent in productionOpen Sellione, opens in a new tab
AI teaching assistant for educators
AI assistantOpen Ustaz.media, opens in a new tab
Knowledge portal and mobile app for a developer
Web + FlutterOpen Monolit GID, opens in a new tab
Cargo marketplace, mobile first
Mobile-first
No-code online store builder
No-code
Marketplace for flowers and plants
Marketplace
Kazakh language learning app
Mobile app
An AI sales rep inside your DMs
Works in Instagram and WhatsApp: it reads what the buyer wants, shows the products and closes the order. Replies come in seconds, before the buyer loses interest.
What we build
Four areas. Each one runs in production today.
- AI
AI apps and integration
Agents and LLM features connected to your real backend. Sales agents, document search, KYC and AML checks, call scoring in Russian and Kazakh.
- Claude / OpenAI
- RAG
- Agents
- Whisper RU+KZ
- WEB
Web platforms
Products that carry real load. One of ours serves a national exam platform at 1,000 requests per second.
- Java / Spring
- Nuxt 4
- React
- PostgreSQL
- MOB
Mobile, in Flutter
One codebase, both stores, from architecture to release. Payments, push, offline sync. One of our apps passed 100,000 installs.
- Flutter
- Dart
- BLoC
- App Store
- Google Play
- OPS
DevOps and architecture
Kubernetes and CI/CD on AWS, Azure or your own servers. Releases without downtime, monitoring, and rescue of inherited infrastructure.
- Kubernetes
- Helm
- GitLab CI/CD
- Proxmox
Where our engineers come from
Industries where they have run production systems under real load and real regulators.
Fintech
Multi-acquiring with the country's largest banks, BNPL, Apple Pay and Google Pay, a wallet with cross-border transfers, AML checks driven by an LLM.
Banking
Corporate online banking and a monolith-to-microservices migration inside a bank. A bad release there is a regulatory incident.
Telecom
Super-app backends for national mobile operators: microservices, in-app payments, bank integrations. Released on both app stores.
Search at scale
Marketplace search and personalisation over three billion documents. 500 ms response, ten million index updates a day.
EdTech
Five platforms in production, from a national exam-prep system to an AI advisor with 100,000+ installs.
Logistics
A corporate platform for a global freight forwarder, and a cargo marketplace that connects shippers with carriers.
No juniors. Ever.
The engineers who scope your work write the code, and stay on call after launch.
Every engineer has held a CTO or Tech-Lead title
Across fintech, EdTech, agritech and systems integration. They have led engineering teams.
We teach it too
Our engineers have trained more than 400 Java developers. If we cannot explain a decision in plain language, we do not ship it.
Enterprise scale, boutique speed
The same people who run platforms where a bad release is a regulatory incident can put a working AI system in front of your users in eight weeks.
Three working languages
Projects run in English, Russian or Kazakh. We have built speech systems that handle Kazakh, including speech that switches to Russian mid-sentence.
How we work
Four steps. Each one ends with something you can hold, and you can stop at any of them.
- 012–4 weeks
Understand
We meet your team, watch the process as it really runs and pull the data. You get a list of tasks AI can close, with numbers next to each.
You getOpportunity map and impact estimate
- 021–2 weeks
Design
We take the one or two tasks with the biggest payoff and work out how to build them: architecture, data, interface, metrics.
You getTechnical spec and pilot plan
- 034–8 weeks
Build
We build the pilot and connect it to your systems. We test on your real data and fix what breaks.
You getWorking pilot and real metrics
- 04ongoing
Run
We roll it out, train your team and set up monitoring. Then we hand it over, or keep running it for you.
You getProduction, SLA and reporting
The first stage starts within three business days of signature.
Three ways to start
Scope is fixed up front, so you never buy an open-ended retainer to find out whether this works.
- 2–4 weeks
Audit
We map your processes, sort the opportunities by payoff and hand over a roadmap. You can take it anywhere, including away from us.
Fits ifStart with an auditYou want to know where AI will pay off before you spend on it.
- 8–12 weeksMost chosen
Pilot
The audit, plus one solution taken all the way to production. Real users, measured results.
Fits ifPlan a pilotYou know what to automate and need a team that will build it.
- 6+ months
Partnership
A dedicated senior team with several streams in parallel, keeping the context between projects.
Fits ifTalk about a partnershipAI is part of your plan for the next few years.
What you get, in writing
These go into the contract.
You own every line
Source code, fine-tuned weights and datasets are yours, in your repositories. No licence fee, no per-seat fee.
Your data stays yours
We deploy inside your AWS, GCP or on-premise environment. Your data stays inside your perimeter.
No lock-in
Deployment and API documentation, and training for your team. When you want to take the system in-house, you can.
Start in three business days
The first stage begins within three business days of signature. No month of onboarding at your expense.
Questions before signing
If yours is missing, ask on the call.
What if it does not work?
During the audit we say plainly whether AI fits. If it does not, we point you at the process fix instead. During the pilot we agree target metrics up front. If we miss them, we do not roll out, and you keep the code and the findings.
Why not hire in-house?
Eventually you probably should. Hiring a senior AI engineer takes about six months, and we start in days. When your team is ready, we hand over the code, the documentation and the training.
Will our data leak?
We work inside your AWS, GCP or on-premise environment. On one AI project the whole dataset stayed on the client's server and only audio, with no names or phone numbers, reached an external API.
Who owns the code and the model?
You do. Full source, deployment and API documentation, all IP rights, fine-tuned weights and datasets. That is written into the contract.
How much of our time does it take?
For the audit: four to six one-hour sessions with the people who do the work, plus access to the data. For the pilot: one technical contact and a 30-minute weekly check-in.
What if we do not have much data?
That is a normal starting point. We begin with what exists, plus public models and retrieval over your documents. Data builds up while the pilot runs, and fine-tuning comes later, if at all.
Which languages do you work in?
Delivery, documentation and meetings in English, Russian or Kazakh. We have also built speech systems that handle Kazakh and mixed Russian-Kazakh speech.
Are you available, or is this a side project?
We take a small number of engagements at a time, so every project has senior engineers on it full-time. If your timeline does not fit our capacity, we say so on the first call.
Tell us what you want to change
Thirty minutes on a call. Describe the process, and we will tell you whether AI belongs in it and roughly what it costs. If it is not our kind of work, we will point you to someone better.
Message sent
Got it. We will come back to you within one business day.