The investment case

In 90 seconds

The investment case

In 90 seconds

15+ years production experience

Deep tech team (TU Graz, AIT, Polimi)

Pre-seed round open

Now building core infrastructure

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SHIFT

Fashion moved.
Infrastructure didn't.

Design moves faster. Rules get tighter. Customers stand closer. But local production is still running on manual files, disconnected messages, and stress.

The loop keeps breaking

Local ateliers and brands have solid craft and experience. Pattern information sits across folders, local software, and tacit know-how. Machines are rarely connected through one consistent system. Design, pattern, and production are handled in separate tools and teams.
Software cannot fix physical fragmentation, only standardized nodes can. The OS that wins will be phygital, not pure SaaS. RDxOS is that phygital OS, built around one standardized node.

What you need to believe

Speed and compliance will matter more than low-cost long-distance production.
Software on its own
cannot solve a physically
fragmented setup.
The OS that wins will be phygital: built from both code and physical nodes, not cloud only.

One node. One OS.
One way to produce.

RDxOS standardizes how local fashion is produced — from idea to garment, in compact nodes that can live where people live.
At its core, RDxOS standardizes local production nodes
and makes them repeatable.

The node:
a ~50m2
micro-factory

Each node is a compact, standardized production space you can drop into a store, a street, a neighbourhood. Scan, cut, sew, repair, trace — in one continuous flow.

At its core, RDxOS standardizes local production nodes and makes them repeatable.

The OS: nervous system of the network

RDxOS software stack
RDxOS connects orders, people, and machines across nodes.
It keeps work moving, quality visible, and every node in sync.
1. Design & 3D
— brings new styles into the system and connects them with pattern logic.

2. AI/ AR try on
— lets teams and customers see garments on bodies before anything is cut.

3. Pattern Intelligence
— uses AI to learn your fit, generate new patterns, and send ready-to-cut DXF into nodes.

4. Production & QC
— guides cutting, sewing, and quality checks inside each node.

5. Digital Product Passport
— stores materials, traceability, care, and repair data for every garment.

6. Logistics & routing
— helps choose the right node and move orders between locations.


All modules sit on one operating system, so brands, ateliers, and nodes work in one continuous flow, not in separate tools.
Why physical still matters
Software cannot sew. Hardware without software cannot scale. RDxOS is where both finally move as one.
Pattern Intelligence
— the brain inside RDxOS
Inside RDxOS lives Pattern Intelligence — an AI compiler that learns from real pattern archives and tells fabric exactly how to move.
Pattern Intelligence — what the brain does
  • Uses AI trained on your own patterns to see your pattern history as a language of fit.
  • Learns your unique Fit-DNA, not just outlines.
  • Generates new patterns and size runs for new styles within your rules.
  • Checks that each piece is production-ready in your real setup, not just in theory.
  • Sends DXF files and ready-to-cut steps straight into RDxOS nodes.

Why this is hard

and worth it

RDxOS can launch and run nodes before the brain is fully trained. Pattern Intelligence then makes the network smarter — and much harder to copy.
Two layers. One system.

  • RDx nodes
    are compact, standardised production spaces that bring cutting, sewing, repair, and finishing closer to people and stores.


  • RDxOS
    runs across all nodes, connecting design and 3D, AR try-on, AI styling, Pattern Intelligence, production and quality checks, digital product passports, logistics and routing into one flow.

Physical nodes handle the making. The software layer — with Pattern Intelligence inside — keeps everything connected and scalable.
What we're asking for
Join us to:
Launch the first nodes.
Train the first Pattern
Intelligence brains.
Turn local fashion from a one-off miracle into an operating system.
Why us

I spent 15 years inside fashion production.
Over 120 cycles, across factories in Europe and Asia, I saw
the same problems repeat: waste, friction, and broken systems.
In 2022, I built Right Direction — a sustainable brand
made with 80% surplus fabrics.
For our first collection, we could not afford models.
So we dressed avatars instead and projected them onto
the walls of a medieval castle.

What began as a constraint became a clear insight:
fashion does not just need new collections. It needs a better foundation beneath them.

That was the turning point.
I stopped designing only garments and started
building the system behind them.







Jelizaveta Hagleitner

Founder · RDxOS · Vienna, Austria


Why us
I spent 15 years inside fashion production.
Over 120 cycles, across factories in Europe and Asia, I saw the same problems repeat: waste, friction, and broken systems. In 2022, I built Right Direction — a sustainable brand made with 80% surplus fabrics.
For our first collection, we could not afford models.So we dressed avatars instead and projected them onto the walls of a medieval castle.

What began as a constraint became a clear insight:
fashion does not just need new collections. It needs a better foundation beneath them.

That was the turning point.
I stopped designing only garments and started
building the system behind them.







Jelizaveta Hagleitner

Founder · RDxOS · Vienna, Austria


  • Ex-professional athlete — Estonian National Team · Russia · Austria.
  • Sport Management & Textile Systems St. Petersburg State University
  • 15 years inside fashion production. 120+ cycles across Europe and Asia.
I know exactly where the system breaks. Now I'm building what was always missing.

Press: Vogue Business · L'Officiel Austria
Awards: Burda New Faces · Canada Fashion Film Festival
The Team
PhD-level AI and machine learning. Architectural systems thinking. Production engineering from the factory floor.

The combination this problem requires.
  • Dr. Nadezhda Kirillova
    AI / Pattern Intelligence Lead (Austria)
    PhD in mathematics. Postdoc TU Graz + Lomonosov MSU. Computer vision & AI-assisted work design generation.
  • Dr. Alexander Ryzhov
    ML / Systems Engineer (Austria)
    AIT Austrian Institute of Technology + MIPT. Translating physics, 3D graphics, and ML into scalable digital fashion infrastructure. Production-scale CV deployment expertise.
  • Bao Quy Lan
    3D / Frontend Engineer (South Korea)
    MSc Architectural Sciences, Chung-Ang University. Ex-Angelswing senior engineer. Three.js & WebGL specialist building production 3D interfaces for RDx AR try-on and phygital retail.
  • Dr. Daria Smakhtina
    Architecture / Node Design (Austria)
    PhD candidate. Spatial work hybrids. Designing RDx Node 50m² layouts maximizing operational
  • Beatrice Ceizarienė
    MSc — Fashion Design & Pattern (Lithuania)
    MSc Design for Fashion System, Politecnico di Milano. End-to-end RTW designer, pattern-making & production expert ensuring RDx outputs are production-ready

Jelizaveta Hagleitner

management@rightdirectionup.com

Webgasse 43/3D, 1060 Wien, Austria

Jelizaveta Hagleitner

management@rightdirectionup.com

Webgasse 43/3D, 1060 Wien, Austria


RDxOS |Jelizaveta Hagleitner | 
management@rightdirectionup.com |Vienna 2025
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