Case study / ArchivesAI-powered historical research for UC Berkeley

Historical manuscripts became research-ready data.

Fragile maritime records and historical manuscripts were converted into structured research data for academic analysis and migration-history research.

01 Case snapshot

Operations became research-ready data.

70%
Faster processing
AI
Assisted extraction
Academic
Validation standard

Fragile maritime records and historical manuscripts were converted into structured research data for academic analysis and migration-history research.

The challenge

The research material included faded maritime registries and handwritten manuscripts that were difficult to interpret manually.

The data needed a high standard of precision so it could support academic research and citation.

The approach

SBL combined AI-assisted extraction with expert review to interpret complex cursive and damaged records.

Metadata and validation routines prepared the output for migration-history research and academic use.

Stage 01

Frame

Define the metadata needed for migration-history research.

Stage 02

Extract

Use AI-assisted transcription and expert review for difficult scripts.

Stage 03

Validate

Prepare structured datasets for academic analysis.

The result

Processing time was reduced while preserving the structure and review discipline needed for research workflows.

  • Historical maritime records became structured datasets.
  • AI-assisted extraction helped accelerate difficult handwriting work.
  • Review routines supported academic citation and auditability.
  • The project reduced processing time by about 70%.
04 Talk to us

Need to make this kind of work repeatable?

Bring us the historical research archive, source material or workflow. We will map the data model, quality gates and delivery path before production starts.