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How Structify revolutionized BoreDM's geotech operations

"The time Structify saves isn't just saved — it's reinvested. We can shift the budget from data entry into modeling, testing, better field equipment — actual engineering value. That's a game-changer." - Louis Aaron, BoreDM CEO

For most geotechnical teams, fieldwork still runs on paper – it's reliable in harsh, high-stakes environments — but those handwritten logs are a pain to digitize. That's where Structify comes in.

BoreDM automates the extraction of borehole logs—critical for soil analysis and construction safety—without changing how engineers work. In doing so, thousands of static paper reports are now structured, searchable, and instantly usable for modeling, risk analysis, and infrastructure design.


Results at a glance:


Before Structify: Manual work that didn't scale

Field engineers preferred paper for good reason—rugged environments and the need for accuracy in high-liability work. But that meant every handwritten report had to be typed up later, at ~45 minutes each and ~$20 per log.

For teams handling thousands of reports, it wasn't just expensive—it was unscalable. Meanwhile, millions of legacy boring logs sat trapped in PDFs, collecting dust instead of informing future projects.

With Structify: Fast and reliable data extraction

Structify let field engineers keep what worked—paper in the field—while modernizing everything else. By extracting insights from scanned logs in under 2–3 minutes, Structify can turn messy handwriting into clean & structured data. Unlike rigid OCR tools, Structify understands the business context and can handle thousands of log variations, so teams get consistent, model-ready output—fast.

Business impact for BoreDM: Borehole logs turned from cost center to revenue engine

What began as a cost-saving tool quickly became a growth driver. BoreDM can now take on large-scale projects that were previously impossible—like partnering with WSP to convert millions of legacy reports into usable datasets. These reports are now fueling better civil engineering models, more informed risk decisions, and even training custom AI tools.

What was once a transcription bottleneck is now a competitive edge.