Cranial reconstruction software | clinical, partner, investor pathways

CranioSwift

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.

Clinicians
Case review
Partners
Mesh handoff
Investors
MVP evidence

Platform positioning

One technical workflow, three different buying conversations.

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

Each visitor needs a different reason to keep reading.

For doctors

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 view
For customers

Receive cleaner handoffs.

Medical device and 3D-printing partners should understand how CranioSwift can package meshes, QA evidence, and manufacturing signals.

Partner view
For investors

Evaluate a focused wedge.

Investors should see the market logic, current MVP progress, validation plan, and why this can become a surgical planning software layer.

Investor view

Product experience

A case workspace a doctor can actually use.

The first product surface turns model output into a reviewable case record: defect context, patch preview, quality metrics, warnings, export files, and route evidence.

Case: toy_ct_to_patch_mvp Patch surface
Rendered cranial patch surface mesh with triangulated geometry

Clinical user experience

For doctors, the site should promise clarity and control.

01

Open a case

Review the CT-derived skull model, defect region, case metadata, and reconstruction route in one workspace.

02

Inspect the proposal

Rotate the proposed patch, compare it with the defect boundary, and see where the model is uncertain.

03

Review quality

Check mesh status, connected components, watertightness, warnings, and validation metrics before handoff.

04

Send feedback

Approve for technical review, request design changes, or send the case back with structured notes.

Customer and partner view

For implant and 3D-printing teams, the value is cleaner case handoff.

Export-ready geometry

STL / PLY outputs, defect boundary context, and reconstructed skull previews for downstream engineering review.

Quality evidence

Case reports that track mesh properties, warnings, route choice, configuration, and provenance.

Integration pathway

A focused software layer that can connect planning, engineering, manufacturing, and QA workflows over time.

Investor view

The investor story stays visible, but it is one path through the site.

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.

Built

Defect detection, patch reconstruction, STL / PLY export, quality report, and provenance capture.

Being validated

Public-case benchmarking, route selection, mesh quality reporting, and synthetic-case evaluation.

Next technical leap

First learned cropped ROI occupancy model, stronger candidate ranking, and clinician-facing review UI.

About Addin

A product being built for additive manufacturing translation.

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.

AI and geometry software

Building the reconstruction pipeline, candidate generation, route selection, QA reports, and case workspace.

Additive manufacturing

Connecting digital implant planning with manufacturability, material-aware review, and downstream production needs.

Clinical translation

Designing the workflow so clinicians can inspect, question, and approve outputs before any technical handoff.

Commercialization

Shaping CranioSwift for pilots, strategic partnerships, regulatory planning, and future spin-off growth.

Next milestones

A roadmap that serves users, customers, and investors together.

0-3 months

Validation baseline

Lock benchmark protocol, improve non-ground-truth route selection, and prepare reviewable case packets.

3-9 months

Clinician review loop

Build the first web workspace for case inspection, annotation, QA review, and export handoff.

9-18 months

Pilot-ready workflow

Run collaborator pilots, quantify workflow impact, and define the regulatory and commercialization path.

Next conversation

Route each visitor into the right 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.