Behind the Science of Vessel Vault
Vessel Vault is live today, giving you a single, secure home for all your pressure vessel records. Behind the scenes, we’re actively building AI-powered pre-validation so your documents are checked for compliance before they ever reach an inspector.
Deep Learning OCR
Computer Vision
Semantics Engineering
Where We’re Starting
Where We’re Going Next
Vessel Vault is in active development with real data and workflows, built alongside fabricators and inspectors so it’s ready for production use.
The MTR Validation Engine compares real extracted mechanical properties and chemistry against vessel-specific requirements, backed by a material spec library seeded with common ASME/ASTM grades.
AI Pre-Validation of Records
Every validation run is stored with full check data and history, so QA and regulators can see exactly what was checked and why a result passed or failed. That gives you an audit-ready trail without extra spreadsheets or side systems.
Bulk operations, expiry awareness, and a database-backed notification system keep reviews moving without losing track of documents or deadlines.
Automatically flag missing, inconsistent, or non-compliant data before it slows down fabrication or inspections.
Real-time collaboration tools ensure that fabrication shops and engineers are always synced, reducing the risk of outdated record access during audits.
Automated report generation transforms months of engineering data into a single, comprehensive compliance package within seconds.
Smarter, Faster Compliance
Use AI to reduce rework and back-and-forth with inspectors while keeping engineers in control.
Future Roadmap for AI Validation
The goal is to develop tools that could flag missing MTRs or skipped hold points, allowing your team to focus exclusively on high-level oversight.
Pressure Vessels
AI is being designed to identify if heat numbers on a traveller match material certs, flagging mismatched material grades or blank fields on forms.
Boilers
Future checks could detect missing inspector or QA signatures and highlight where data book records do not line up across various thermal stress reports.
Tanks
We aim to flag missing NDE reports, plate serial number gaps, and cases where outdated drawings or wrong revisions are referenced in the documentation.
Heat Exchangers
The system could identify incomplete weld maps or mismatched design data, ensuring that every required signature and material report is fully accounted for.
Secure Your Technical Edge with AI Validation
Experience the precision of AI-powered document pre-validation for pressure vessels and heat exchangers. Reduce manual review cycles and eliminate engineering bottlenecks with our technical tech stack.