Fillix
Fill and dose control for aseptic lines.
Sterile Fill-Finish
Sterira
The autonomous operations layer for sterile pharmaceutical fill-finish: aseptic filling, seal and CCI, lyophilisation, AI visual inspection, contamination control.
Overview
What Sterira does.
Sterira closes the loop on sterile fill-finish: aseptic filling and dosing, seal and container-closure-integrity, lyophilisation optimisation, AI visual inspection, contamination control and robotic handling.
Each line deployment produces labelled inspection and batch traces that train the next model, tightening the loop from fill to final inspection.
| Detail | Value |
|---|---|
| Stage | Seed |
| Category | Physical AI |
| Year | 2026 |
| Website | sterira.com |
| Headquarters | Not disclosed |
| Raised | $1.5M |
| Investor | 10xC |
| Model | Per-line software subscription with validation support, entered through a pilot on one inspection step. |
| Measured by | False-call rate, inspection throughput, batch release time, lines expanded per customer. |
Products
One loop, module by module.
Every deployment on sterira.com writes labelled traces back into the model, so the system generalises across plants, alloys, grades and geometries.
Vistra
AI visual inspection for particles, cosmetic defects and CCI.
Lyovex
Lyophilisation cycle optimisation.
Asepta
Aseptic and contamination-control intelligence.
Roboq
Robotic handling in the isolator and on the line.
Simura
Aseptic-line digital twin for validation and what-if.
Why we invested
The thesis behind Sterira.
Sterile fill-finish is the most regulated bottleneck in pharma: lines that can take months to qualify, inspection that still leans on human eyes, and a skills base concentrated in a few hands.
Sterira sells the audit trail as the product. The buyer is a CDMO or pharma manufacturer paying in hard currency; the wedge is one inspection step, and validation evidence is the flywheel that pulls each next module onto the line.
Who is building it
David Miller
Founder & CEODavid owns the pharma relationships, qualification strategy and the commercial model.
Grace Bennett
Co-Founder & CTOGrace owns the vision models, the edge runtime and the GMP-grade audit architecture.
Building something similar?
Building in Physical AI? We want to hear about it.