Case Study: Teranet unlocks historical land registry data with SortSpoke

Teranet cuts document processing time by 97% with SortSpoke

Teranet, an international leader in land registration services, faced the challenge of extracting valuable data from 250,000 historical land registry documents. The documents were highly diverse in format and bilingual, making traditional template-based extraction methods economically unfeasible. To unlock this data for analytics and modeling, they turned to SortSpoke's AI-powered document processing platform.

SortSpoke implemented its human-in-the-loop AI solution, which required no templates and began learning from just a few sample documents. The platform processed each document in under 20 seconds, achieving a 97% reduction in time compared to manual extraction and saving Teranet an estimated 85% in costs over traditional solutions. SortSpoke enabled Teranet to efficiently extract high-quality, verified data from the entire document library with zero IT involvement.

Teranet