AI-assisted infrastructure planning room with maps and evidence files.

Applied research

Evidence retrieval and decision support for regulated site reviews.

Greenlight Base studies how large-model systems can reduce ambiguity during infrastructure due diligence without hiding the source material behind a black-box answer.

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Research focus

Important applied findings

  • Source-grounded memos improve review speed. Internal pilots show that site teams move faster when every AI-written claim is paired with a document citation and a confidence note.
  • Change detection matters more than simple summarization. The highest-value alerts come from comparing new filings, updated utility comments, and revised maps against the prior evidence baseline.
  • Risk language needs operational structure. Reviewers respond better to "known, missing, blocked, counsel required" categories than broad probability scores.

Research programs

Current technical tracks

Permit retrieval

Ranking methods for municipal packets, staff comments, conditional approvals, and prior project precedents.

Utility queue interpretation

Model-assisted extraction of capacity signals, interconnection constraints, and ambiguous response language.

Geo-document alignment

Connecting GIS layers, site maps, environmental exhibits, and narrative reports into one review surface.