Cyber2Tech
Cyber2Tech — software studio

We write the software.
We keep it running.

We take your web, mobile and AI products from idea to launch. You work directly with the engineers who built Kurjet, Doksan9 and Woonzero.

Web applications · Mobile · AI integration · Security review · Technical consulting

We usewhat we build.

Instead of a wall of client logos, we show the products we built ourselves. Nothing explains how we work better than these.

01 — Restaurant and courier management

Kurjet

Brings Trendyol, Yemeksepeti and Getir orders into one panel, starts courier shifts on site by location and tracks each delivery live.

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02 — Invoice and document management

Doksan9

Reads a photographed invoice, waybill or weighbridge ticket with a vision-language model and splits it into fields; approved records go into a searchable archive.

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03 — Social platform for gamers

Woonzero

A platform where players find people to play with, through gaming identities, team-finder posts and community guides.

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Cases, up close.

All cases
Doksan9

From a pile of invoicesto a searchable archive.

Doksan9
  1. 01Incoming documentcamera · gallery
  2. 02Vision-language modelimage → fields
  3. 03Human reviewfix · approve
  4. 04Archive + searchsaved after approval
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Kurjet

Orders from three marketplaces,land on one panel.

Kurjet
  1. 01Order createdfrom the panel or a marketplace
  2. 02Being preparedin the kitchen, no courier yet
  3. 03Courier assignedrestaurant/admin picks by hand
  4. 04En routecourier updates with one tap
  5. 05Delivereddaily counters update
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04 — AI-driven email automation

From inboxto automated task.

SmartMail Orchestration
  1. 01Incoming emailcompany inbox
  2. 02GPT classificationcategory · priority
  3. 03Task / webhookto the right system
  4. 04Workflow triggeredspam separated
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05 — AI-powered mobile app

Understands, generates,recommends.

Akıllı Asistan & İçerik Analiz Platformu
  1. 01User inputtext or voice
  2. 02Analysis / generationlanguage model
  3. 03Recommendation enginereal-time data
  4. 04Response / recommendationin the app
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Case study · Doksan9

From a pile of invoicesto a searchable archive.

Problem

Invoices, waybills and weighbridge tickets each carry different fields; entering them all by hand is slow and error-prone.

Constraint

Document formats vary widely and financial records can't carry mistakes; when the model gets it wrong, the user corrects it before anything is saved.

Approach

Send the image straight to a vision-language model, split it into fields, and put every result up for human approval before saving.

Result

[Measured result: e.g. processing time per document, before → after. Remove this block if it wasn't measured.]

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Anatomy of a product · Doksan9
01 / 05

What you see is only the top layer.

Doksan9's archive looks like a single search box. Four more layers run underneath it.

02 / 05

Five layers. We write all of them.

Interface, API, AI, data and infrastructure. We don't hand one layer to someone else and glue the rest together.

03 / 05

One invoice passes through all five.

It arrives as a photo or a gallery pick; a vision-language model reads the fields directly out of the image, and once approved the record lands in a searchable archive.

04 / 05

The result goes to a person, who approves it.

Nothing is ever saved automatically; every result is shown to a person first. Documents carry personal data, so access control, masking and audit logs are written into every layer.

05 / 05

Then we keep it live.

The layers come together and the product ships. We monitor it, update it and stay.

Read the Doksan9 case
In four steps

How we work.

  1. 0101 / 04

    Intro call

    We listen to what you want to build.

  2. 0202 / 04

    Discovery

    Scope, flows and the technical plan.

  3. 0303 / 04
    v0.1
    v0.2
    v0.3
    v0.4

    Development

    A working version at regular intervals.

  4. 0404 / 04

    Launch and maintenance

    Going live, and what comes after.

No middlemen. Just us.

The engineers who founded Cyber2Tech work on your project themselves. There's no account manager in between; you talk directly to the person writing the code.

Common questions.

How do we get started?

We clarify the need in an intro call and share a draft scope and timeline within 48 hours.

How does pricing work?

We don't have a price list. Every project is different, so after the first call we write up the scope and prepare a proposal for that project.

What's the shortest a project can take?

A typical first version takes 4–8 weeks. We also run shorter discovery engagements.

What technologies do you work with?

React, Next.js, Node.js, Python, C# / .NET and AI APIs; AWS and Vercel in the cloud.

What do you need from us to start?

Your goal, how you'll measure success, and any existing documents or access. If those are ready, we can start within a business day.

Do you sign an NDA?

Yes, we start every project under an NDA. Sensitive data is shared through secure channels.

Do you maintain the product after launch?

Yes. We keep what we build running: an optional maintenance agreement, or improvement sprints.

How long does an AI integration take?

Simple scenarios built on ready-made APIs take 2–5 days. Work that needs fine-tuning or a custom model takes longer.

Let's buildyour next product.

You talk directly with the people working on your project; there's no account manager in between.