Workflows that run without a human in the loop: approvals, invoicing, reporting, tender monitoring, CRM↔ERP sync.
- Workflow automation (n8n, Make)
- System & API integration
- Ops dashboards & alerting
- Browser & data automation
Rahmet Labs — Automation, AI & Product Engineering
Your businessis drowning in manual work.
One senior team designs, ships, and operates the automation and AI that replace your spreadsheets, copy-paste routines, and follow-up threads — software that runs the busywork so your people run the business.
One accountable team · EN / RU / KZWhatsApp · Telegram · Email
The work is invisible — until it breaks.
Someone copies numbers into a spreadsheet. Someone remembers to send the invoice. Someone checks the tender portal at midnight. None of it is in a system; all of it is in somebody’s head.
Hiring more people grows the chaos, not the capacity.
It doesn’t need heroic effort. It needs a system.
Most of what your team does by hand is a repeatable pattern: watch, compare, copy, decide, send. Repeatable patterns are exactly what software is for.
The issue is never effort — it’s architecture.
That system is what we build.
Automation that runs itself, AI that reads and decides, products your clients actually use — designed, shipped, and operated by one accountable team.
Scroll on. This is the whole pitch.
What we build
One studio, every layer of the system.
Strategy, automation, AI, and engineering under one roof — so nothing gets lost between a consultant’s deck and a developer’s backlog.
AI wired into real operations — agents, RAG over your own data, content pipelines — not a demo chatbot.
- AI agents & assistants
- RAG over private data
- Content generation pipelines
- Matching, scoring & routing
From multilingual marketing systems to full SaaS platforms and mobile apps — designed, built, and shipped end to end.
- Web apps & SaaS platforms
- Mobile apps (React Native)
- CMS-driven sites & editors
- Booking & member areas
APIs, databases, and infrastructure that keep the system observable, secure, and boringly reliable.
- API design & integration
- Postgres / Supabase data layers
- Auth, roles & permissions
- Monitoring & logging
Smart contracts and on-chain automation with the same engineering discipline as the rest of the stack.
- Solidity contracts
- Multi-chain deployment (ETH, BSC, Arbitrum)
- Multi-sig pipelines
- On-chain monitoring
Manual vs system
Same inbox. Two ways to run it.
An illustrative rebuild of a typical support week — what changes when a system owns the queue.
Manual wayWith a systemIllustrative model, not a client metric.
~14 h
avg. response time
~11 min
avg. response time
Manual wayWith a system
Message arrives
Manual way —Sits in a shared inbox until someone’s free.
With a system —Classified and routed in seconds, 24/7.
Routine question
Manual way —Copy-paste the same answer for the 40th time.
With a system —Answered instantly from your own knowledge base.
Edge case
Manual way —Bounced between three people, twice.
With a system —Escalated to one owner with full context attached.
Reporting
Manual way —Numbers assembled Friday night, if at all.
With a system —A live view your team actually opens on Monday.
Selected work
Systems we’ve shipped.
Real, verifiable work — live links wherever they exist.
01
Education Platform Suite
Web & Product
Three production sites for university and education clients — admissions, program pages, and CMS-driven content built for editors who aren’t developers.
Next.jsReactCMS
02
Beyond Lines
AI & Automation
An autonomous content-intelligence pipeline scanning 60+ sources across crypto, security, and AI, then curating and publishing through a Telegram bot and web dashboard.
Next.jsAI curationTelegram Bot
03
Unhireable
AI & Automation
A desktop job-search system that scrapes hh.kz, Wellfound, and LinkedIn, matches roles with AI, and generates tailored résumés automatically.
Desktop appAI matchingMulti-platform scraping
04
Multi-Platform Bot Suite
Automation
A shared automation layer behind WhatsApp, Telegram, and Twitter — one routing brain, three channels, no duplicated logic to maintain.
Bot APIsAutomationAI routing
Shipped
How it works
From first call to running system.
Four stages. Every stage ends with something you can see working — not a slide deck.
Scan
1–2 weeksWe map what actually happens today — the tools, the manual steps, the handoffs nobody documented — before proposing anything.
Design
1–2 weeksWe architect the system: what gets automated, what gets built, what stays human, and how it all talks to each other.
Build & ship
2–8 weeksWorking software in stages. Each stage is something you can test and use — a misunderstanding costs a week, not three months.
Operate
OngoingWe stay on. Systems get monitored, adjusted, and extended as the business changes instead of degrading the day we leave.
How we operate
Why teams stay with us.
Not because we’re the biggest. Because of how the work gets done.
One accountable team
No relay between a strategy shop, a dev shop, and an ops consultant. The people who scope your system are the people who build and run it.
You own everything
Repositories, infrastructure, and documentation transfer from day one. If we disappeared tomorrow, your systems would keep running.
Working software at every step
You see something real at each stage of a build — so drift in expectations costs days, not a quarter.
We stay after launch
Automation and AI drift as your business changes. We operate and adjust them instead of vanishing after handover.
Start
Start with the manual work that eats your week.
Tell us what your team still does by hand. We’ll reply with a plain answer: what a system could take over, what it would take, and what we’d build first.