Engineering data, structuredversionedcomputableexecutablescalable
We convert unstructured engineering documents into a continuously updated structured project data layer that powers downstream engineering, compliance, procurement, and cost workflows.
The Problem
Why This Exists
Engineering execution runs on data. But engineering projects generate documents. Critical information lives inside drawings, P&IDs, datasheets, and specifications — never captured as a structured system.
What We Build
Engineering Data Layer
Plinth transforms engineering documents into a structured, version-aware data layer. Source documents flow in, get parsed and validated, then power live deliverables, procurement packages, and quality checks.
How It Fits
Current State
Engineering data is manually extracted from documents, re-interpreted by every team, and fed into disconnected enterprise systems.
Engineering Documents
Manual Extraction & Re-entry
Engineers manually read documents, extract data into spreadsheets, then re-enter into downstream systems
Downstream Systems
Also Integrates With
Industry Impact
92%
of industrial projects miss schedule or budget commitments
66%
average cost overrun on energy projects globally
41%
of engineer time spent on productive, value-adding work
What This Powers
Use Cases
Because engineering data is structured once and kept current, critical workflows become automated, reliable, and traceable.
RFQ Readiness & Cost Visibility
Engineering-Driven Deliverables
Generate live deliverables (Instrument Index, Line List, Equipment Register, Tag-Doc Register) as synchronized views from a single structured data model.
→ Turns drawings into procurement-ready deliverables that stay correct as designs change.
Engineering Data Integrity
Cross-Document Consistency
Build a tag-centric structured data model by extracting engineering intent directly from source documents. Detect mismatches and conflicts automatically.
→ Keeps data consistent across all documents, preventing late-stage rework and claims.
QC/QA Acceleration
Automated Design Review
Enable data-driven design reviews by running automated checks on structured engineering data. Verify tag completeness and control loop integrity.
→ Accelerates design reviews with a repeatable, data-driven process.
Reliable Engineering Search
Tag-Document Intelligence
Use vision and language models to build an explicit Tag-Document intelligence layer. Enable reliable technical search with RAG-ready foundations.
→ Makes engineering knowledge searchable by linking tags, drawings, and specifications.
Built for Industrial Projects
Engineering teams managing complex, document-heavy projects where data accuracy directly impacts safety and cost.
Get Started
Engineering scales on structured data,
not documents.
Plinth builds the layer that makes engineering computable. Transform how your team manages project data.
API-First
REST & GraphQL
Version-Aware
Full traceability
Spec-Governed
Standards compliance