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Research

Methodology + results, when they're ready.

OmniTakeoff Research is an active program covering active-learning recognizers, evidence-grounded AI architecture, and construction-cost economics. Papers will appear here as they clear review.

Catalog

No published papers yet

Honest answer: we have ongoing research efforts but have not yet published peer-reviewed papers. We will list them here as they appear, with the actual DOI / arXiv ID and venue. We will not list speculative submissions or work-in-progress drafts on this page.

Active research areas

What the team is working on

Active-learning recognizers

Per-customer symbol recognition that converges on shop-specific drawing dialects faster than generic pre-trained baselines.

Evidence-grounded AI architecture

Reference architecture for AI quantification systems where every output is traceable to its source — applied to construction takeoff but generalizable to other audit-sensitive domains.

Construction-cost economics

Empirical work on estimator time allocation and bid-cycle compression. We collaborate with customer pilots when their data could inform an industry-useful paper.

Co-authoring

We co-author with customers when their data warrants it.

If your firm's pilot data could inform a paper that helps the industry, we'll co-author with you (anonymized or named — your call). Co-authors get named credit and full review rights pre-submission.

Research — OmniTakeoff