Plyoq
Layup and AFP placement control.
Advanced Composites
Curelum
The autonomous operations layer for advanced-composite (carbon-fibre) manufacturing.
Overview
What Curelum does.
Curelum closes the loop on advanced-composite manufacturing: layup and AFP placement, defect sensing and NDT, autoclave and OOA cure control, the laminate and cure twin, robotics and yield orchestration.
Every part produces labelled placement and cure traces that train the next model, tightening the loop from ply to cured part.
| Detail | Value |
|---|---|
| Stage | Seed |
| Category | Physical AI |
| Year | 2026 |
| Website | curelum.com |
| Headquarters | Not disclosed |
| Raised | $750K |
| Investor | 10xC |
| Model | Per-cell software subscription with a first-pass quality outcome component. |
| Measured by | First-pass part quality, void rate, cure cycle time, cells expanded per customer. |
Products
One loop, module by module.
Every deployment on curelum.com writes labelled traces back into the model, so the system generalises across plants, alloys, grades and geometries.
Voidra
Defect sensing and NDT across layup and cure.
Curevo
Autoclave and out-of-autoclave cure control.
Strandix
Laminate and cure digital twin.
Roboply
Robotics and handling in the layup cell.
Yieldex
Yield and part orchestration.
Why we invested
The thesis behind Curelum.
Carbon-fibre parts are made by hand and cured on fixed cycles, because nobody can see inside the part while it cures. Voids and porosity are found at NDT, after the part is made.
Curelum moves the read into the cure and the control into software. The buyer is an aerospace or industrial composite maker paying in hard currency; the wedge is one cure or layup step, and first-pass part quality is the number that opens the next module.
Who is building it
Co-Founder & CEO
Co-Founder & CEOOwns the aerospace relationships, the pilot programme and the commercial model.
Co-Founder & CTO
Co-Founder & CTOOwns the cure and NDT models, the edge runtime and the audit architecture.
Building something similar?
Building in Physical AI? We want to hear about it.