Human review is visible
Every candidate routes through surgeon and engineer decisions before any downstream package step.
AI-assisted design-control workflow
Reviewable implant candidates and traceable case packages for retrospective partner pilots.
CranioSwift helps licensed implant and clinical partners evaluate AI-assisted cranial implant design without moving release authority away from surgeons, engineers, or QMS.
Platform position
CranioSwift is not a standalone STL generator. The product is a workflow: case intake, defect boundary confirmation, candidate generation, automated checks, human review, and case-package export.
Every candidate routes through surgeon and engineer decisions before any downstream package step.
Geometry, warnings, comments, versions, and role ownership stay attached to each retrospective case.
Speed, cleanup time, reviewable rate, package completeness, and critical misses become the scorecard.
Operating model
CranioSwift should help a partner move faster without blurring who owns clinical judgment, design revision, QMS review, or manufacturing release.
Reviews fit, contour, defect coverage, and surgical intent. Their decision becomes the first gate in the case package.
Converts clinical feedback into candidate versions, reruns checks, and keeps design rationale attached to the case.
Reviews provenance, decision records, warnings, and completeness before a partner-facing package is treated as ready.
Reviews mesh readiness, material route, process constraints, and final release inside the partner's own registered workflow.
Commercial wedge
Partners keep their current CAD, manufacturing, and QMS workflows. CranioSwift adds a reviewable candidate, automated checks, decision capture, and a case package that can be compared against the current process.
Case package
The paid-pilot artifact is a repeatable case package that lets a partner compare CranioSwift against their current engineer-led workflow on the same retrospective cases.
Downstream states
Clinical concern is attached to a versioned engineering branch.
Quality reviewer checks evidence completeness before export readiness.
Partner sees DfM warnings while release actions stay unavailable.
Demo workbench
The workbench uses the current six-case research demo set, but presents it as a partner pilot review workflow rather than a one-click model output screen.
Evidence package
Faster first candidate generation is the measured workflow signal.
Enough cases must be reviewable before a starter license conversation.
Inputs, outputs, warnings, comments, and approvals must be traceable.
Critical manufacturability misses are not tolerated in pilot scoring.
Quality roadmap
The website should make the maturity boundary obvious: research demo now, non-clinical pilot next, productization after evidence, regulated use only after formal validation and partner controls.
Provenance, known limitations, and review-only case packages.
20-30 retrospective partner cases, review forms, and failure taxonomy.
Design controls, risk file, software lifecycle, cybersecurity plan.
Formal validation and controlled releases with the licensed partner.
Partner conversation
The right next conversation is with implant partners, clinical reviewers, and QMS owners who can compare CranioSwift against their current case workflow.