Engineering team · Istanbul

Cities of engineering to empires of vision.

We build AI into real products — our own models, our own apps, and the infrastructure underneath them.

Team
11 engineers, designers & media
Units
Eclipse · Nebula · Aurora
Base
BTM Kamp, Fulya · İstanbul
In production
ÇTH Portal

01 Positioning

We don’t ship projects.
We ship systems that keep shipping.

Most software work starts from zero every time. Ours doesn’t.

Mode A — Project by project

Every brief starts at zero.

  • New foundations every time
  • Knowledge locked in one repo
  • Cost scales linearly with work
  • Nothing compounds

Mode B — Reusable systems

The foundation is already running.

  • One layer under many products
  • Models and agents we own
  • Each build speeds up the next
  • Capability compounds
Left: a scattered pile of mismatched grey blocks. Right: the same material resolved into a precise modular grid lit with violet edge light. Build 01 Build 02 Build 03 Build 04 Shared infrastructure · models · agents · pipelines Products

Rebuilt every time Written once, reused

One team.

Eleven people. Flat. The founder is still in the repo.

Multiple systems.

Infrastructure, model pipelines and agent layers, reused across every build.

Multiple products.

A team set up to start the next one without starting over.

02 What we do

Three arms.
One engineering core.

The same people and the same infrastructure, pointed three ways.

01

Product Engineering

Our own AI models, mobile apps and web products.

Model trainingFine-tuningLoRA Agent architecturesRAGMCP On-device AI

02

Automation

The manual loop, replaced by a system that runs itself.

n8n workflowsAI agentsMail automation Process automationSystem integration

03

Software Engineering

Mobile, web, backend — engineered as systems, not deliverables.

Mobile appsWebsitesBackend systems Internal platformsCustom software

03 How we build

Depth over surface.

What we build, what we refuse to outsource, and what we keep.

P01

Reusable infrastructure

Auth, data access, agent runtimes, deploy pipelines. Written once, carried forward.

P02

Our own models

We build and fine-tune rather than routing everything through someone else’s service.

P03

Fine-tuning & LoRA

Adapters shape a base model to a real requirement. Narrow, testable, cheap to iterate.

P04

On-device AI

Inference close to the user. Lower latency, lower cost, data that stays put.

P05

Agent architectures

Tool calling, ReAct loops and MCP — agents that do work, with the failure modes written down.

P06

Scale through systems

The output isn’t a repo. It’s a loop that makes the next build cheaper.

Reference architecture

Request path & reuse loop

Request path Product surface Mobile · Web Agent layer Tools · ReAct · MCP Model layer Fine-tuned · LoRA Retrieval RAG · pgvector Infrastructure Shared · Versioned Reuse loop — every build feeds the layer the next one starts from

Scroll the diagram sideways

04 In development

SkyEngineX Mobile running its launch sequence on a matte black phone in a dark studio
SkyEngineX Mobile Kotlin & Jetpack Compose · Oct 2026
Agent layer ReAct runtime

SkyEngineX Mobile

An Android product with the agent layer built in — tool calling and a ReAct loop on a clean, testable architecture.

PlatformKotlin · Jetpack Compose
ArchitectureClean Architecture · MVVM
StackHilt · Room
Agent layerTool calling · ReAct
Planned launchOctober 2026
ModelFree to use · Enterprise licensing

In active development — the screen shows a representative agent trace, not a shipped interface.

05 Selected work

Systems that are actually running.

One live platform, one product in development, one research track.

Live in production

ÇTH Portal

A production portal coordinating employees, administrators and customers for a cleaning services company. An n8n-built AI agent supports the customer request flow, handling on the order of ten requests a day.

Web platformn8nAI agent Role-based accessDeployed
Abstract visualisation of a coordination network converging on a single hub

In development

SkyEngineX Mobile

Kotlin and Jetpack Compose on Clean Architecture and MVVM, with an internal agent layer using tool calling and ReAct. October 2026, free with enterprise licensing.

KotlinJetpack ComposeMVVM HiltRoomAgent layer
Macro photograph of the illuminated edge of a matte black phone

Research

Vision-language research

An ongoing research track in vision-language models, evaluated doctor-in-the-loop.

Research only — not a released product. No medical validation, no regulatory approval, and no claim about accuracy.

Vision-languageDoctor-in-the-loopOngoing
Abstract image of a precision optical instrument projecting a structured light grid

06 Engineering stack

The parts we actually run.

The layers a SkyEngineX system is assembled from.

Layer 01

Mobile

  • Kotlin
  • Jetpack Compose
  • MVVM
  • Hilt
  • Room
  • Clean Architecture
  • React Native
  • Expo Router
  • Cross-platform mobile
  • Frontend development
  • Component-based architecture

Layer 02

Backend

  • Java
  • Spring Boot
  • Ktor
  • Spring Data JPA
  • Hibernate
  • Spring Security
  • JWT authentication
  • OAuth2
  • RESTful API development
  • MVC architecture
  • Microservices
  • SQL
  • PostgreSQL
  • MySQL
  • Supabase

Layer 03

Web

  • HTML / CSS
  • TypeScript
  • Node.js
  • React
  • Next.js
  • Tailwind
  • Three.js
  • GSAP
  • Vercel

Layer 04

AI/ML

  • Python
  • Machine learning
  • Deep learning
  • Supervised learning
  • Unsupervised learning
  • NumPy
  • Pandas
  • Scikit-learn
  • PyTorch
  • TensorFlow
  • Keras
  • JAX
  • LLM fine-tuning
  • LoRA
  • RAG
  • Vector databases
  • pgvector
  • MCP
  • Agent architectures

Layer 05

DevOps

  • Docker
  • Containerization
  • Cloud native
  • CI/CD pipelines
  • Git / GitHub
  • Linux
  • Server architecture
  • Infrastructure management
  • Deployment processes
  • Backend deployment
  • API integrations
  • Monitoring & logging

Layer 06

Automation

  • n8n
  • Mail integrations
  • Workflow orchestration
  • System automation
  • Agent-integrated automation

07 Team & culture

Eleven people, no hierarchy,
everyone in the code.

Build young. Think long-term. Ship fast.

Student-founded and student-driven. That isn’t a caveat — it is why we move quickly and keep the structure flat.

11People
8Engineers
3Design & social media
A dark engineering studio at night with monitors glowing
BTM Kamp · Fulya İstanbul Flat by design

Unit 01

Eclipse

Mobile and AI products. Turning a model into something you can hold.

Unit 02

Nebula

R&D and systems engineering. The parts everything else stands on.

Unit 03

Aurora

Design and social media. How the work looks and how it travels.

Hüseyin Cem SallanFounder & Chief AI Engineer
Ömer ÇayırCo-Founder & Head of Technical

Where we stand

Anthropic Claude for StartupsAccepted into the program.
BTM Kamp, FulyaWorking from the BTM Kamp office space in İstanbul.
Live customer platformA production system serving a real business today.
Team certifications AnthropicNVIDIAIBM Hugging FaceDeepLearning.AI / Stanford

08 Join the team

We’re looking for builders.

Not a CV drop. Tell us what you built and what you want to get good at.

  • A real project in your first weeks, not shadowing one.
  • You work directly with the people who started this.
  • We care what you’ve shipped, not which year you’re in.
  • Applications are open to people aged 18 and over.

01 — Who you are

02 — What you’ve built

03 — Skill levels

0 — never touched it · 5 — I could ship it alone.

09 Contact

Tell us what you’re building.

hello@skyenginex.com

Cities of engineering to empires of vision.

hello@skyenginex.com SkyEngineX · İstanbul