Review the case, not the algorithm.
Doctors should see a clear case workspace: defect context, proposed patch, warnings, and a structured way to request changes.
Clinical viewCranial reconstruction software | clinical, partner, investor pathways
A reviewable AI-assisted workflow for personalized cranial reconstruction, designed to help doctors inspect cases, partners prepare implant handoffs, and investors evaluate a tangible surgical planning wedge.
Platform positioning
CranioSwift should speak to doctors, manufacturing partners, and investors without making the homepage feel scattered. The common thread is a traceable cranial reconstruction workflow: case geometry in, patch candidate and quality evidence out, with every output reviewable by humans before it moves downstream.
Audience paths
Doctors should see a clear case workspace: defect context, proposed patch, warnings, and a structured way to request changes.
Clinical viewMedical device and 3D-printing partners should understand how CranioSwift can package meshes, QA evidence, and manufacturing signals.
Partner viewInvestors should see the market logic, current MVP progress, validation plan, and why this can become a surgical planning software layer.
Investor viewProduct experience
The first product surface turns model output into a reviewable case record: defect context, patch preview, quality metrics, warnings, export files, and route evidence.
Clinical user experience
Review the CT-derived skull model, defect region, case metadata, and reconstruction route in one workspace.
Rotate the proposed patch, compare it with the defect boundary, and see where the model is uncertain.
Check mesh status, connected components, watertightness, warnings, and validation metrics before handoff.
Approve for technical review, request design changes, or send the case back with structured notes.
Customer and partner view
STL / PLY outputs, defect boundary context, and reconstructed skull previews for downstream engineering review.
Case reports that track mesh properties, warnings, route choice, configuration, and provenance.
A focused software layer that can connect planning, engineering, manufacturing, and QA workflows over time.
Investor view
CranioSwift currently has an initial detect-and-generate MVP. It exports patch meshes and quality reports from controlled cases while keeping technical limitations visible. For diligence, the key signal is that the company is already building toward a real workflow surface, not only a one-off model demonstration.
Defect detection, patch reconstruction, STL / PLY export, quality report, and provenance capture.
Public-case benchmarking, route selection, mesh quality reporting, and synthetic-case evaluation.
First learned cropped ROI occupancy model, stronger candidate ranking, and clinician-facing review UI.
About Addin
CranioSwift is being developed as a product under Addin, the company vehicle intended to take this workflow from research software toward clinical, engineering, and manufacturing adoption.
Addin is planned as a spin-off company associated with the Monash Centre for Additive Manufacturing (MCAM), bringing together software development, additive manufacturing know-how, and medical workflow translation.
Building the reconstruction pipeline, candidate generation, route selection, QA reports, and case workspace.
Connecting digital implant planning with manufacturability, material-aware review, and downstream production needs.
Designing the workflow so clinicians can inspect, question, and approve outputs before any technical handoff.
Shaping CranioSwift for pilots, strategic partnerships, regulatory planning, and future spin-off growth.
Next milestones
Lock benchmark protocol, improve non-ground-truth route selection, and prepare reviewable case packets.
Build the first web workspace for case inspection, annotation, QA review, and export handoff.
Run collaborator pilots, quantify workflow impact, and define the regulatory and commercialization path.
Next conversation
The first public site should not force everyone into the same funnel. Doctors can request a workflow preview, medical device and 3D-printing partners can discuss handoff needs, and investors can ask for a focused diligence briefing.