Vienna's Turn-Motion raises seed for carbon-fibre orthotics printing
What's the deal? Turn-MotionDealroom has a profile for this one. Try Dealroom →, a Vienna-based deep tech startup, has raised a seed round for its automated platform that prints patient-specific carbon-fibre orthotics, prosthetics, and exoskeletons. Noctua Science VenturesDealroom has a profile for this one. Try Dealroom → led the equity portion. Vienna scaleup SquerDealroom has a profile for this one. Try Dealroom → and angels Florian SchwendingerDealroom has a profile for this one. Try Dealroom →, Benjamin SchwendingerDealroom has a profile for this one. Try Dealroom →, and Sébastien StassinDealroom has a profile for this one. Try Dealroom → also joined.
What's the endgame? Turn-Motion wants to replace days of manual labour with a single platform that produces devices in hours. It combines a multi-axis "5D" fibre-placement system, a physics-informed optimisation engine, and an API-first, AI-driven workflow that runs from 3D scan to finished part.
Why now? Custom orthotics production still relies on manual scanning, shaping, and carbon-fibre lay-up, taking one to three weeks per device. A worsening global shortage of qualified orthotists and prosthetists makes that model harder to sustain.
Polymer 3D printing cut some labour but hit a physical ceiling: polymer parts must be thick and stiff to bear load, sacrificing lightweight performance. Continuous carbon-fibre composites deliver the right mechanics but rely on multi-step processes ill-suited to one-off parts.
The market: Noctua sizes the global orthotics and prosthetics market in the high single-digit billions of dollars, growing at a mid-single-digit CAGR. Its investment manager Lukas Rippitsch pointed to demographic ageing, rising diabetes-related interventions, and the clinician shortage as tailwinds. The bolt-on exoskeleton segment is forecast to compound at roughly 30% a year.
The signal: Turn-Motion is betting that automation and composite materials can break the industry's trade-off between fast-and-weak or strong-and-slow. If the platform delivers the order-of-magnitude cycle-time compression the team targets, it could open segments the high-cost manual process can never reach.
Read more: noctua.vc
Image credit: Generated with Gemini
