Intelligent Document Control Platform

MIDSTREAM PIPELINE · DOCUMENT CONTROL

A pipeline operator managing assets across three provinces had documents scattered across 14 systems — shared drives, legacy DMS, and physical archives. Engineers lost 2.5 hours daily to document searches, outdated drawings reached the field, and regulatory audits took six weeks to prepare.

Datad consolidated everything into a single cloud-native repository with AI-powered classification, automated revision control, asset-linked documents, and a natural language search interface.

87%

Less Search Time

4 Days

Audit Prep (was 6 wks)

Zero

Field Errors Post-Launch

100%

Asset-Doc Linkage

“For the first time, our field engineers can trust that the drawing they’re looking at is the right one.”

— VP Engineering, Midstream Pipeline Operator

AI-Driven MTO Automation

EPC / OIL & GAS FABRICATION · ENGINEERING

A major EPC contractor spent 3–6 weeks per project manually extracting Material Take Offs from 1,000+ pages of PDF drawings across piping, structural, electrical, civil, and instrumentation disciplines. Errors created costly procurement mismatches.

Datad deployed a custom-trained AI model that reads engineering drawings directly from PDFs — no CAD files required — extracting all MTO elements across every discipline with full traceability back to drawing, sheet, and tag.

90%

Faster MTO Processing

98%

Extraction Accuracy

60–70%

Lower Labor Cost

100%

Item Traceability

AI-Driven Bill of Lading Automation

MIDSTREAM OIL & GAS · LOGISTICS

A major midstream company processed thousands of Bills of Lading monthly through entirely manual data entry — a slow, error-prone process that delayed invoicing and custody transfer reporting. With strict data governance requirements, a cloud solution was not viable.

Datad delivered a locally-deployed AI model trained on the client’s BOL formats, including scanned and handwritten forms, feeding extracted data directly into their logistics and accounting systems — with no external cloud dependencies.

70%

Less Manual Data Entry

95%+

Extraction Accuracy

Same Day

Data Availability

Local

On-premise, No Cloud