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AI-Native development studio · agents, AI-CRM, automation

We turn your manual processes
into AI systems that work for your team

The studio of Zhemal Khamidun — Head of AI at an EdTech group, CPO of an enterprise AI platform with 6000+ users — builds AI agents, AI-CRM and automation tailored to your process. Turnkey, with full ownership transfer: not 'yet another chatbot' but a working system.

Zhemal Khamidun — lecturer at a leading technical university · enterprise Agile transformation, 1300+ specialists · ex-Accenture

21 systems in production 6000+ users of our own product Enterprise clients
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§ — A new pace of development

10 people with AI do the work of 50–100 engineers. This pace is available to order

AI-native development is already here: vibecoding gives us x5–x10 the speed of traditional development, and we ship real systems at this pace — 21 in production. You get the speed of a team of dozens of engineers without growing headcount. The only question is whether you order this pace — or your competitors already have.

§ — Why right now

AI is already writing the code. We've been building business systems this way for the past year

While the market debates whether AI will 'take off', we ship working systems built on it: 21 projects in production — AI agents, AI-CRM, automation. Here are the numbers behind why this is happening right now:

95%
of the code at a quarter of Y Combinator startups is written by AI. 'The vibecoding era has arrived' — YC CEO Garry Tan
Garry Tan, 2025 →
<10
people on a team generate up to $10M in revenue — without a staff of 50–100 engineers
CNBC / YC, 2025 →

'A team of 10 people with AI does the work of 50–100 engineers'

Гэрри Тан — глава Y Combinator
Гэрри Тан · глава Y Combinator

The only question is who will build this for your business: your own experiment, or a studio that has already shipped 21 systems.

§ — What's already being built with AI

Even solo makers build this today. For your business, we build it turnkey

Solo developers and non-technical founders are already launching AI products with metrics in the millions — the technology has matured. For a business, the only question is who will build it around your process — with integrations, security and ongoing support. Live examples of what already works:

Cal AI — два экрана приложения: дневник калорий и скан еды камерой ZYЗак Ядегари$2 Mper month Zach Yadegari · 18 years old Single-handedly built the AI app Cal AI: 5 million downloads, $30 million in annual revenue. TechCrunch ↗ Base44 — конструктор приложений MSМаор Шломо$80 Msold to Wix Maor Shlomo · solo founder Built the app builder Base44 alone and sold it to Wix within six months. $189k profit per month. TechCrunch ↗ Plinq — сервис SMСабрин Матос$456kper year Sabrine Matos · marketer Not a developer. Built the service Plinq in 45 days — 10,000 users. Source ↗ инди-продукт MLМарк Лу1 dayper product Marc Lou · indie maker Launches profitable AI apps in a single day. Dozens of launches, each generating revenue. marclou.com ↗

Solo makers do this on pure enthusiasm. Your business gets the same, turnkey — from a studio with 21 shipped systems, integrations and SLA-backed support.

On our side, the process is simple — four steps:

01 You describe the process 02 We build a prototype 03 We integrate and deploy 04 The system runs 24/7
§ — Sound familiar?

Check how many of these apply to your company

If even one applies to you, it's not 'just how things are' — it's a process an AI system can take over. We've done exactly that 21 times.

01

You explain the task to a contractor for the fifth time — and still wait weeks for revisions

02

Outsourced development eats your margin — and in the end the system isn't even yours

03

You need a dashboard for a decision today — but the shared dev queue says 'in a month'

04

Managers drown in routine: requests pile up, leads get lost, and headcount grows with volume

05

A boxed CRM formally exists but is dead: no one enters data, no one trusts the reports

06

Competitors already run AI-driven unit economics — while you 'haven't got around to it'

§ — Who it's for

Who we build AI systems for

We go by jobs to be done, not job titles. Here are the three jobs clients bring us most often — if you recognize yours, you're in the right place.

SMB owners and directors

Take routine off your team's plate

Managers drown in requests, reports are compiled by hand, every process bottlenecks on you. We build an agent or automation for your process: requests stop getting lost, routine runs itself 24/7, headcount doesn't grow with volume. Our portfolio includes SMB cases from a restaurant to a tutoring school — no Enterprise budget required.

Innovation and L&D leaders in corporations

Keep up — and report upward

The board asks 'where's our AI?', while ~40% of pilots on the market shut down before reaching production. We deliver a pilot with a measurable result inside your infrastructure and train your team — you get a working case and numbers to present upstairs. We know this level of requirements from working with Henkel and enterprise clients in energy and banking.

Heads of sales and operations

Bring a dead CRM back to life

Managers don't enter data, leads leak between touchpoints, decisions are made blind. We build an AI-CRM that AI runs itself: it captures and qualifies every lead, and the dashboard shows the truth about your sales. Proof: turnkey Phoenix CRM and 6000 B2B leads collected by automation.

Founders and product teams

Test a hypothesis faster than the market

You have the idea, but development means months in a queue or an expensive staff. We build an MVP sprint: a working prototype on your scenarios within a fixed timeline — vibecoding gives us x5–x10 the speed of traditional development. Then we either scale it to production, or you close the hypothesis at minimal cost.

No need to hire a dev team or break your familiar tools

Your CRM, ERP, messengers and spreadsheets stay in place — we build on top, not instead. We take one process currently done by hand or by a contractor, build an AI system around it — and you compare speed, cost and control on real numbers.

A fit for anyone whose process is still done by hand — and it's holding back growth

For owners, corporate teams, heads of sales and founders. No in-house IT department needed: we handle the technical side — from architecture to deployment in your infrastructure. Not sure it's your case? Let's walk through your process on a free consultation. How a project goes →

You come with a process done by hand. You leave with a working turnkey AI system: the code, access and documentation remain your property.

§ — Before and after

What changes when an AI system takes over the process

A composite portrait of the studio's clients: what they come with — and what they're left with after launch. Scope and timeline are fixed before work starts.

Now
  • Requests, reports and routine are done by hand — the team drowns in operations
  • Every tweak means a contractor, a quote and weeks of waiting: margin goes to middlemen
  • A zoo of tools: Excel, messengers and a 'boxed' system, none of them connected
  • Leads get lost: managers don't enter data, the CRM lives a life of its own
  • Decisions are made blind: numbers are compiled by hand and always out of date
After the system launches
  • A turnkey AI system works 24/7: it responds, logs everything, and hands complex cases to a human
  • Data stays in your infrastructure: private deployment, nothing leaves your perimeter
  • The system is transferred to your ownership: code, access, documentation — no vendor lock-in
  • The dashboard shows the truth about sales and operations — in real time, not in monthly reports
  • Volume grows — headcount doesn't: the system handles routine, people focus on what grows revenue
How a project goes — step by step
§ — The key thing to understand

You don't need 'yet another chatbot'. You need a process that works

A GPT demo takes a week to build — and dies at integration with real work systems. We build differently: the AI system embeds into your CRM, ERP and messengers, runs 24/7 and is transferred to your ownership. Not an experiment but a working process — with someone accountable for the result.

Speed to result

Our vibecoding process gives us x5–x10 the speed of traditional development. You get your hands on a working prototype at the very start of the project — not 'after six months of research'.

The system is your property

We hand over the code, access and documentation. No vendor lock-in: you can evolve the system with us under an SLA, with your own team, or with any other contractor.

Measurable impact

The goal and acceptance criteria are fixed before the start, payment is milestone-based. The impact shows up in dashboard numbers — that's how 21 systems were delivered, including projects for Enterprise clients.

§ — What we build

Three kinds of systems we deliver turnkey

Not consulting and not slide decks — working systems in your infrastructure. We take a process, build an AI system around it and transfer it to your ownership: with code, access and documentation.

ИИ-агент студии в работе — кейс Ceresit для Henkel

Turnkey AI agents

An agent for your process: support, sales, analytics, moderation. We integrate it with CRM, ERP and messengers and fine-tune it on your data. Example: the Ceresit AI radar built for Henkel.

AI-CRM студии — лиды и дашборд продаж, кейс Phoenix CRM

AI-CRM systems

A CRM and dashboard where AI enters the data: leads are captured and qualified automatically, you see the truth about your sales — not just what managers managed to log. Proof: turnkey Phoenix CRM, 6000 B2B leads.

Автоматизация и управленческий дашборд — новостной завод на 6 языках

Automation and management systems

Pipelines, dashboards, content factories and PM systems: routine goes to the machine, the team focuses on what grows revenue. Proof: 6000 B2B leads by automation, a news factory in 6 languages.

The main thing — the process starts working without you

The agent answers customers 24/7, the CRM runs itself, the dashboard shows the truth in numbers. Headcount doesn't grow with volume — the team focuses on what grows revenue.

Claude Code, Codex, n8n, RAG — our production stack. We integrate with your CRM, ERP and messengers — vibecoding gives us x5–x10 the speed of traditional development.

Bought piecemeal from different contractors, systems like these would cost from $75,000

We build it as one turnkey system — with integrations, deployment and support. We name the price and timeline before the start, after a free audit. Calculate what your routine costs →

§ — Who builds it

The studio is led by a practitioner who built his own AI product with 6000+ users

Studio founder Жемал Хамидун
Zhemal Khamidun
Head of AI · EdTech group · CPO of an AI platform
01

10+ years in digital transformation — an enterprise Agile transformation (teams and products with 1300+ people), Accenture, corporate consulting for Enterprise

02

CPO of an enterprise AI platform — his own AI product in production: 6000+ users · implemented AI in the business processes of 54 companies

03

21 systems shipped to production and 856 hands-on cases · trained 1000+ specialists across 200+ corporate trainings

Academic supervisor of a university tech entrepreneurship chairMentor in a university alumni networkAuthor of the book 'The AI Conductor''Cooking Up AI' channelFather of four

I build AI in production every day: as Head of AI at an EdTech group, as CPO of an enterprise AI platform with 6000+ users — and as a studio that has built systems for Henkel and enterprise clients in energy. I don't consult from slides — I'm in the code, the deployments and the metrics myself.

That's why I only offer what I've already built and use myself. Bring your process — I'll personally break it down and show you which system will do the work for your team.

Жемал Хамидун Zhemal Khamidunstudio founder
§ — Recognition

Companies that thank us for the work

Letters of appreciation from Henkel and other enterprise clients in energy, retail and banking — for corporate projects and team training. That's the level of requirements we're used to delivering at.

Trained teams at:

§ — Team

A real team works on your project

Not a middleman agency with subcontractors: a compact team of practitioners led by Zhemal. The people you see here are the people you'll see working on your system.

Анатолий Клавдиенко
Anatoly Klavdienko
Studio tech lead · AI agents and integrations
01

Designs AI agents and embeds them into companies' business processes — from brief to production

02

A graduate of a leading technical university — takes any blocker apart systematically, down to the root cause

03

On your project — your implementation engineer: deployment, access, integrations and fine-tuning, all the way to a working system in your infrastructure

Данила Воложанин
Danila Volozhanin
Product Marketing Manager at an AI platform
01

5+ years in IT startups: launched StorySong (AI songs, up to $6K/month, sold) and 'Revive Photo' (~11K users)

02

YouTube and Telegram about AI — 11K subscribers, 17M views · master's degrees from two leading technical universities

03

On your project — marketing and growth: so the system we build brings leads and revenue, not just runs

§ — Case studies

21 systems shipped to production

Real systems with real numbers: Enterprise brands, small businesses and the studio's own products. Click a card to see the details.

All numbers come from the studio's real projects. Some systems are under NDA — we show those cases as screenshots and walk through the details on a free consultation.

§ — How we work

Every stage ends with a result in your hands — not a progress report

No 'months of research, then we'll see'. The project moves through clear stages: you know in advance what you'll get at each one, watch the system come together, and pay per stage. The stack is transparent: Claude Code / Codex, n8n, ERP and CRM integrations, RAG on your documents.

5 stages + system handover · milestone-based payment · price and timeline fixed before work starts · data stays in your infrastructure

01 Stage 1

Discovery: we break down the process and fix the goal

We immerse ourselves in your process and, before work starts, define exactly what we're building and how we'll measure the result — in your business's numbers, not in 'we'll implement AI'.

  • We break down the process, data and systems: where requests, hours and money get lost
  • We formulate a measurable project goal and acceptance criteria — before the contract is signed
  • We fix the scope and autonomy boundaries: where AI decides on its own and where it hands over to a human
  • We sign an NDA and agree on security requirements — up to an on-premise setup and compliance with local data-protection law

Stage artifacta brief with the goal, scope and acceptance criteria — it becomes the basis of the contract

Stage result:

goal, scope and project plan locked in; price and timeline named before work starts

02 Stage 2

Prototype and estimate: touch the system before the full build

We build a working prototype on your scenarios — you evaluate the solution hands-on before paying for the full build.

  • We build a clickable prototype with Claude Code / Codex — vibecoding gives us x5–x10 the speed of traditional development
  • We run the prototype on your real scenarios and data — not on synthetic examples
  • We refine the architecture and integrations: CRM, ERP, messengers, RAG on your documents
  • We finalize the full-build estimate: work breakdown, stages, cost

Stage artifacta working prototype + solution architecture and a full-build estimate

Stage result:

a prototype you can show your team and leadership, and a precise project estimate

03 Stage 3

Build: we take the prototype to a production system

The prototype becomes an industrial-grade system: tests, error handling, resilience — production that doesn't fall over, not a demo.

  • Development on our production stack: Claude Code / Codex, n8n, RAG — the same stack that runs our own enterprise AI platform with 6000+ users
  • Tests, logging, error handling and failure protection — what separates production from a one-week demo
  • Data stays in your infrastructure: private deployment or on-premise
  • We show progress as we build — you see the system at every step, not 'in a couple of months'

Stage artifactan assembled system that has passed tests on your scenarios

Stage result:

the system is ready for integration with your work tools and launch in your infrastructure

04 Stage 4

Deployment and integration with your systems

The system lands in your infrastructure and connects to your work tools. This is exactly where most AI pilots die — and exactly the step we take on ourselves.

  • Integrations: CRM, ERP, messengers, email, internal APIs
  • Deployment in your infrastructure: your servers or dedicated infrastructure — you hold the access
  • Live testing on real traffic: actual requests, emails and conversations, not a test bench
  • We handle infrastructure and model access — including paying for AI services when local cards are not accepted

Stage artifacta system in production, integrated with your CRM, ERP and messengers

Stage result:

the system runs on real data in your infrastructure — your team starts using it

05 Stage 5

Support and fine-tuning: the system won't end up on a shelf

We don't disappear after launch: we monitor, fine-tune on your data and evolve the system along with your process.

  • Monitoring and SLA-backed support — with guaranteed response times
  • Fine-tuning on new data and scenarios: the system gets more accurate as it works
  • We train your team — we run corporate AI training for Henkel and enterprise clients in energy, retail and banking
  • Growth: new scenarios and integrations as you scale — at an agreed estimate, no surprises on the invoice

Stage artifactregular reports on system metrics + a development roadmap

Stage result:

the system lives on and delivers measurable results — instead of gathering dust like abandoned pilots

06 System handover

Everything is yours: code, access, documentation

The project ends with an ownership transfer. The system, code and knowledge stay with you whatever you decide next: no vendor lock-in.

  • We transfer ownership: the repository, access, documentation and instructions for your team
  • A live demo of the system for your team and leadership — with before/after numbers for reporting upstairs
  • We train the employees who will work with the system every day
  • SLA-backed support is an option, not an obligation: you can evolve the system yourself or with any other team
The outcome:

a working system you own, a trained team and business result numbers

Discuss Your Project
§ — What you get

More than just code

A turnkey system isn't a repository with a 'figure it out yourselves' note. We transfer ownership and stay close: documentation, team training, SLA-backed support.

Team training

We implement the system and train the people who will work with it — so it delivers results instead of gathering dust within a month.

details →
SLA-backed support

We don't disappear after launch: monitoring, fine-tuning, system development and support with guaranteed response times.

details →
Infrastructure and access

Servers, model access, paying for AI services — including when local cards are not accepted. We take the organizational side on ourselves.

details →
§ — System handover

Launch is a handover, not a goodbye

The project doesn't end with 'we emailed you everything' — it ends with a handover day: we show the system at work, transfer it to your ownership and train your team. Here's what you get at launch:

Acceptance against criteria

a system at work, not in a slide deck
  • A demo on your live data and real scenarios — not on slides
  • We check the result against the acceptance criteria fixed back at the brief
  • If we find a gap — we bring it to working condition at our own expense

Ownership transfer

code · access · documentation
  • The code repository, all access and admin rights — yours, not ours
  • Documentation: how the system works, how to manage it, what to do if something fails
  • No vendor lock-in: from here you can work with us — or without us

Team training

so the system lives on after launch
  • We train the people who will work with the system every day
  • Guides and session recordings stay with your team
  • We stay in touch for the first weeks after launch, answering questions as they come up

A system counts as delivered when it works at your company and there are trained people to run it — not when the last commit is pushed. We bring it to working condition within the fixed scope; further development and SLA-backed support are a separate option, with terms discussed individually.

§ — After launch

Support is your compass after launch

Launching the system isn't the finale — it's the start of operations. Under a retainer model, we keep it on course: SLA-backed support, monitoring and alerts, fine-tuning on your data, upgrades for new processes. The AI stack changes every month — we keep the system updated so it doesn't fall behind. That's how we run 21 systems in production. The scope and volume of support — discussed individually.

§ — Savings calculator

Calculate what your routine really costs

Take 10 seconds to estimate what your manual process costs — and how much automation would return. A system usually pays for itself within the first months of operation.

Which process eats your team's time?

60% of routine operations are handled by the AI system — we calibrate the share by process type, based on our project experience. GitHub: +55% work speed ↗

Savings per year $0
Hours per month
0 ч
Savings per month
$0
The project pays for itself in about
—
Get a Free Audit

This is an approximation: 4.33 working weeks per month. We'll calculate the exact economics for your process on a free audit — along with the project price and payback period. All amounts are in USD.

And that's just the savings. An AI system can also earn: an agent answers a request within a minute and pushes it to a deal, an AI-CRM doesn't lose leads — we've collected 6000 B2B leads for clients with automation. What that means in money for your funnel — we'll calculate on a free audit.

§ — What's included

One delivery — instead of four contractors

Usually a system like this is assembled piecemeal: one team does development, another does integrations, documentation and support come 'as an afterthought'. We deliver everything as one project — and transfer it to your ownership:

Code and repository — transferred to your ownershipincluded
Infrastructure: servers, deployment, model accessincluded
Integrations with CRM, ERP and messengersincluded
Documentation and team trainingincluded
Support and fine-tuning after launchunder SLA
Total: a working turnkey systemprice — per your scope
21systems shipped to production this way
With contractors it's four quotes and three seams to manage. With us — one delivery

When a system is assembled piecemeal — studio, integrator, technical writer, support — you pay for and manage every seam between contractors yourself. We deliver the system with one team and one contract: code, infrastructure, access, documentation, training and support. The price is fixed for your scope after a free audit — payment is milestone-based.

Choose an engagement model
§ — Free audit

Start with a free process audit

While you're choosing a contractor, get real value for free. We'll break down your process, show what can be automated, and honestly tell you where AI will pay off — and where it won't yet. No obligations: request — review — a short report.

Process audit

We map how the process works now: where requests, hours and money get lost. We find the spots where AI will deliver impact fastest.

online, via Zoom

Solution estimate and prototype

We show what the solution will look like: architecture, integrations, timeline. For suitable tasks — a clickable prototype.

architecture + timeline

Automation roadmap

A short document: what to automate first, what later, and what not to touch. It stays with you even if we don't end up working together.

yours to keep

We'll help with infrastructure and access

Servers, model access, paying for AI subscriptions when local cards are not accepted — a frequent blocker for corporate projects. We take this part on ourselves so the project doesn't stall over a card or a VPN.

Request your free audit

Message us on Telegram — we'll discuss the task in chat. Or leave your email: we'll ask a couple of clarifying questions and suggest a time for Zoom.

Chat on Telegram

Or leave your email — we'll come back with questions and a Zoom time:

By clicking the button, you agree to data processing for contact about your request. No spam.

Not sure where to start?

Message us on Telegram — we'll ask 3–4 questions about your process and honestly tell you whether automation makes sense.

Message on Telegram
§ — Engagement models

Three ways to work with the studio

The format depends on the task: test a hypothesis, build a system end to end, or evolve what's already running. Price and timeline are fixed before the start — after a free process audit. Payment is milestone-based; we work under contract with legal entities.

⚡ Fast start
Sprint / MVP
  • For those who want to test a hypothesis before major investment — and get a working prototype, not a slide deck.
  • A working prototype on your scenarios and data
  • Fixed timeline and fixed scope — agreed before the start
  • A demo on real data + a results review with your team
  • An honest verdict: where AI will pay off and where it won't yet
  • A full-build estimate: architecture, integrations, timeline
  • All materials and prototype code stay with you
discussed individuallyfixed price per sprint
Discuss Your Project
Contract and NDA · milestone-based payment · price and timeline fixed before the start
Get a Free Audit
★ Core format
Turnkey project
  • For those who need a specific system: an AI agent, an AI-CRM or process automation — from brief to production in your infrastructure.
  • Discovery and brief: a measurable goal and acceptance criteria — before the start
  • A prototype on your scenarios — hands-on before the full build
  • Integrations with CRM, ERP and messengers
  • Deployment in your infrastructure: private, on-premise, data-protection compliance
  • Tests, failure protection, acceptance against the brief's criteria
  • Ownership transfer: code, access, documentation
  • Training your team to work with the system
discussed individuallyfixed price per project
Discuss Your Project
Contract and NDA · milestone-based payment · price and timeline fixed before the start
Get a Free Audit
🤝 Long-term
Partnership and support
  • For those whose system is already running — and needs to grow: new scenarios, fine-tuning, support. A monthly format.
  • Monitoring and SLA-backed support — with guaranteed response times
  • Fine-tuning the system on new data and scenarios
  • Growth: new features and integrations by your priorities
  • A monthly report: what was done, what moved the needle, what's next
  • A priority line to the studio team
  • Option: part of the fee as a bonus for results above baseline metrics
discussed individuallymonthly, retainer
Discuss Your Project
Contract and NDA · milestone-based payment · price and timeline fixed before the start
Get a Free Audit

We work under contract: invoice from a legal entity, NDA, closing documents. Payment is milestone-based — tied to the stages in the brief. We'll pick the exact format and budget on a free consultation.

ResultsWe start with a pilot: fixed timeline, measurable result, milestone-based payment. We bring the system to working condition.
DataPrivate infrastructure or on-premise, data-protection compliance, NDA. Your data never leaves your perimeter.
PeopleWe implement the system and train your team — so it delivers results instead of gathering dust.
FreedomWe hand over code, access and documentation. Support is an option, not a leash: no vendor lock-in.

Built by the team of Zhemal Khamidun — Head of AI at an EdTech group, CPO of an enterprise AI platform with 6000+ users · 21 systems in production · Enterprise clients in energy, retail and banking

Corporate format

We work with legal entities: invoice, contract, NDA and closing documents. Pilots in a private environment and on-premise — we align the architecture with your security team.

Discuss a corporate project
§ — Our own product

Nomad — the agent we built for ourselves

We don't just build AI systems for clients — the studio has its own product. Nomad is an agent app: Claude Code runs on your computer while you direct it from your phone — from a taxi, on a walk, between meetings. An idea strikes — you message the agent; you open your laptop in the evening — the prototype is already built. That's the level of product we deliver.

You give the task — the agent builds

You write in plain language, no commands or code. The agent plans, does the work and shows the result on its own.

Direct it from anywhere

Phone, tablet, messengers — the agent is reachable wherever you already chat.

Our configuration inside

It runs on top of Claude Code with the studio's battle-tested configuration — hundreds of ready-made skills in action.

Nothing gets lost

Every result is saved as an artifact: back at your laptop, you pick up right where you left off.

Below are live app screens, not images — browse with the arrows.

Nomad is nomadnet's own product. Want this level of quality for your own process — let's talk. agent.nomadnet.ai →

§ — Find your solution

Which AI system does your business need?

4 short questions — we'll show you exactly where to start: an agent, an AI-CRM or automation.

Check in 20 seconds

Answer 4 questions about your process — at the end we'll show the right type of system and a similar case from our portfolio. Any result can be discussed on a free consultation.

1. What matters most to solve right now?

2. Where does the team lose the most time?

3. How many people will the system affect?

4. When do you need a working result?

Answer 4 questions — we'll show the right system and a similar case ↓

§ — The fork in the road

Your task has four scenarios. Let's compare them honestly

The same routine-heavy process — four different endings six months later. No sales pitch, just the experience of 21 shipped systems:

01

Do nothing

'We'll get back to this next quarter.' Meanwhile the routine grows with volume, requests get lost, and you have to expand headcount. AI won't get simpler if you wait — while competitors are already running unit economics on it.

routine keeps growing
02

Do it in-house

A junior dev, n8n and GPT will assemble a demo in a week — an honest way to test an idea. But production that doesn't fall over, plays well with your CRM and ERP, and survives the enthusiast leaving is a different job. That's how pilots end up on the shelf.

a demo, not production
03

A traditional contractor

Months on specs and approvals, revisions billed separately, AI bolted on for show — if at all. The result: yesterday's system and dependence on someone else's team.

slow and expensive
04

Trust the nomadnet studio

Fixed scope and a measurable goal before the start, a working turnkey system, data in your infrastructure. We transfer ownership: code, access, documentation, team training. That's how we shipped 21 systems — from AI agents to AI-CRM.

turnkey Discuss Your Project
§ — Частые вопросы

Коротко о главном

How are you different from other AI agencies?

We're practitioners, not middlemen: our own enterprise AI platform runs in production — 6000+ users, 800+ paying. Our portfolio includes 21 shipped systems and Enterprise clients in energy, retail and banking. We sell what we've already built and use ourselves.

Who will actually build our system?

The same people you talk to. We're not a middle-layer agency with subcontractors: the studio is led by Zhemal Khamidun — Head of AI at an EdTech group, CPO of an enterprise AI platform — and the work is done by his team on their own production stack. No reselling of other people's hands: whoever designs your system at the audit is the one who ships it to production.

Why not build it ourselves — a junior dev, n8n and GPT?

A demo can be assembled that way in a week, and it's a fine way to test an idea. Production that doesn't fall over, is integrated with your CRM and ERP, and keeps running after the enthusiast quits is a different job. That's exactly what we deliver: with deployment, integrations, tests and support.

What if the system 'doesn't take off'?

We start with a pilot: fixed timeline, measurable result, milestone-based payment. We bring the system to working condition, implement it and train your team — so it delivers results instead of ending up on the shelf like 40% of AI pilots on the market.

What about data security?

We work inside your infrastructure: private deployment, on-premise, compliance with local data-protection law. Data never leaves your perimeter, and we sign an NDA. For corporate clients, we align the architecture with your security team.

Won't we become dependent on you?

No. We transfer the code, access and documentation to your ownership — the system is yours. SLA-backed support is an option, not an obligation: you can evolve the system yourself or with any other team.

It's expensive. How do we know it will pay off?

We don't ask you to take our word for it — we do the math. Before the start, on a free audit, we pin down the economics: how many hours of routine the system will remove, what that means in money, and when the project breaks even. If the numbers say AI doesn't pay off for you yet, we'll say so honestly at the audit — not after implementation. Payment is milestone-based: you pay for each stage's result, not for a promise.

How much does it cost and how fast is it?

It depends on the task: a turnkey project, a fast MVP sprint or ongoing support. We name the price and timeline before the start — after a free process audit; payment is milestone-based. Cost is discussed individually.

How long does a project take?

It depends on the scope — which is exactly why we fix the timeline before the start, at the brief stage, together with the acceptance criteria. You get your hands on the first working prototype long before final delivery: the project moves in stages, and at each one you hold a concrete result, not 'research is underway'. We'll give the exact schedule for your task after a free audit.

What happens after launch — will you disappear?

No. Launch is a stage, not the finale: we hand over the code, access and documentation, train your team, and then provide SLA-backed support: monitoring, model fine-tuning, system development and guaranteed response times. And support is your option, not a leash: the system is your property, and you can run it yourself at any moment.

What if the team just won't use it?

That's the number one reason AI projects end up on the shelf, which is why adoption is part of our project — not 'handed over and gone'. We build the system around your real process rather than forcing the process to fit the system, and we train the people who will work with it. Corporate AI training is the studio's home turf: Zhemal teaches at a leading technical university and has trained teams at Enterprise companies.

Where do we start?

With a free process audit. You leave a request — we walk through your process on Zoom, show what can be automated and where AI will pay off, and hand you a short roadmap. It stays with you even if we never end up working together. No obligations — it's an honest way to test us in action before any contract.

§ — If you're hesitating

What if it doesn't take off?

A fair question — 40% of AI pilots on the market never reach production. We build the process so yours does: here are four guarantees baked into every project.

A result, not a slide deck

We start with a pilot: a fixed timeline and a measurable result, locked in before work begins. Payment is milestone-based — you pay for completed stages. Bringing the system to working condition is part of the contract, not a promise.

Your data stays with you

We deploy in your infrastructure: private cloud or on-premise, in line with local data-protection law. Data never leaves your perimeter, and we sign an NDA before the first call about your processes.

Your team knows how to use it

Systems 'end up on the shelf' when no one is there to use them. So we don't just hand over code — we embed it into your processes and train your people. Corporate AI training is Zhemal's core competence: Head of AI at an EdTech group, lecturer at a leading technical university.

No vendor lock-in

The system is your property: we hand over the code, access and documentation. SLA-backed support is optional. Want to evolve it yourself or with another team — nothing holds you back.

Still have doubts? Let's talk them through on a free consultation, before any contracts.

§ — Next step

Let's discuss your task — on a free consultation

30 minutes on Zoom: we'll break down your process, show similar cases from 21 shipped systems and honestly tell you where AI will pay off. No obligations.

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turnkey — from brief to productiondata in your infrastructurefull ownership transfer

P.S. This website — with all its waves, particles and animations — was built by our studio, without a front-end developer, over a few evenings. We'll build your system the same way.

nomadnet · AI-Native development studio