Mirdain Systems
Mirdain Systems provides an automated 3D printing monitoring platform that uses camera feeds and native machine data to detect defects layer-by-layer in real time. When a part fails, the system isolates and skips it while allowing the rest of the build plate to finish, and it logs failure data to optimize future G-code. The company also offers an on-demand part production service with automated model preparation and human review before quoting.
- Manufacturing / Industry 4.0
- Industrial Automation
- Artificial Intelligence
- Internet of Things
- Commerce & Shopping
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
3D printing failures such as layer shifts, warping, and spaghetti defects often go undetected until a print job is complete, wasting time, material, and machine capacity. When multiple parts are printed on a single build plate, one failing part can jeopardize the entire batch, requiring operators to manually monitor prints or restart jobs from scratch.
Solution
Mirdain watches 3D printers through a camera and reads the machine's own data to follow every layer as it prints. The system compares each layer against the expected geometry at that height in real time, detecting defects where they begin. When a problem is identified, Mirdain isolates and skips the failing part while allowing the remaining parts on the plate to finish printing. The platform also keeps a running record of every part, layer, and machine signal, applying corrective actions during the print when possible and optimizing the next job's G-code to prevent recurrence.
Target Audience
Primary customers are manufacturing teams and engineering departments operating 3D printing farms or multiple printers who need unattended monitoring, as well as businesses seeking low-volume production parts through Mirdain's on-demand printing service.
Features
- Camera-based layer monitoring combined with native machine sensor data reads, requiring no additional probes or hardware passes
- Per-layer defect detection comparing live prints against expected geometry at each height, identifying layer shifts, warping, and spaghetti failures at their origin
- Smart job isolation that skips a failing part while the rest of the build plate continues printing
- Persistent failure log capturing part, layer, and machine data that feeds into automated G-code optimization for subsequent runs
- Cloud-based slicer and print management interface with an open application at beta.mirdainsystems.com
- On-demand part production service with automated model preparation and human review before quoting, supporting STL, 3MF, and OBJ uploads up to 100 MB per file