See the AI-assisted evidence flow in one print job.
The demo follows an anonymised aerospace bracket from AI-assisted CAD intake through neural mesh watermarking, Vault3D bundle signing, TwinCert evidence extraction, anomaly review, audit-summary generation, and offline verification. It is designed for engineering, security, quality, and AI governance teams evaluating a pilot.
What the demo shows.
AI CAD intake and policy.
AI classifies part family, licensee context, evidence requirements, and retention profile for human approval.
Neural MeshGuard watermark.
Embed a signed payload, then run AI detection against sliced mesh and point-cloud style transforms.
AI-monitored Vault3D signing.
Generate the as-built bundle while AI flags unusual slicer, firmware, sensor, or operator context before release.
AI-prepared TwinCert package.
Extract and normalize material, inspection, custody, and regulatory evidence into a TwinCert draft for human signoff.
AI summary plus offline verification.
Review AI-generated exception notes, then use verifier-CLI to validate the bundle and certificate against the signed manifest.
Demo access options.
Public walkthrough
Recorded AI-assisted product flow with anonymised artifacts and no customer data.
Private sandbox
Live walkthrough with your printer class, slicer path, evidence requirements, AI governance constraints, and questions.
Customer lab
Reference deployment access for qualified teams evaluating production rollout.
Sample verifier output.
$ 3dc verify audit-package bracket-aa70.tgz ok manifest revision current ok Vault3D bundle signed by printer BAY-A4-PRINTER-07 ok MeshGuard payload resolves to licensed CAD revision WA-BRK-001-r12 ok TwinCert conformance and custody chain verify ok AI exception summary links to signed source artifacts ok export ready for auditor intake