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Everstar (everstar.ai) — Nuclear licensing knowledge base produced as a byproduct of the platform's three workflows: (1) a structured, traceable rendering of decades of legacy plant documents recovered by high-recall OCR that recovers words, multi-page tables and hard-to-read handwriting and restructures them into searchable traceable formats; (2) a curated regulatory-and-plant corpus assembled for the Gordian research assistant combining regulatory guidance, curated datasets and plant-specific documents, with explainable traceable answers that expose which source passage supports each conclu…
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Nuclear licensing knowledge base produced as a byproduct of the platform's three workflows: (1) a structured, traceable rendering of decades of legacy plant documents recovered by high-recall OCR that recovers words, multi-page tables and hard-to-read handwriting and restructures them into searchable traceable formats; (2) a curated regulatory-and-plant corpus assembled for the Gordian research assistant combining regulatory guidance, curated datasets and plant-specific documents, with explainable traceable answers that expose which source passage supports each conclusion; (3) a licensing change-evaluation asset — cross-process change-control records across major NRC processes backed by plant-specific design-control bases and precedents, plus precedent, template and AI-assisted drafting output for licence amendment requests and renewals. The scarce asset is the pairings themselves: question to cited regulatory passage to accepted change evaluation, and legacy scanned page to corrected structured text, which no public NRC docket exposes.
From 3 yearsCoverage Information Technology · UtilitiesAsset class Equities
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Everstar (everstar.ai) — Nuclear licensing knowledge base produced as a byproduct of the platform's three workflows: (1) a structured, traceable rendering of decades of legacy plant documents recovered by high-recall OCR that recovers words, multi-page tables and hard-to-read handwriting and restructures them into searchable traceable formats; (2) a curated regulatory-and-plant corpus assembled for the Gordian research assistant combining regulatory guidance, curated datasets and plant-specific documents, with explainable traceable answers that expose which source passage supports each conclu…
Everstar (everstar.ai) offers (Alternative, Reference, Supply Chain) — Substantial and dense rather than vast: per deployment the platform structures decades of a plant's legacy archive (each operating-reactor site holds licence events, technical specifications and surveillance records spanning original 1970s-1990s vintage onward, so realistically six figures of pages per site), plus the curated regulatory corpus, plus change-evaluation records (80 to 200 analyst-hours per case pre-automation implies long, richly evidenced records rather than thin rows), plus thousands of grounded query-answer traces per plant per year. Cross-tenant that is well under a billion rows but an unusually strong corpus for handwriting, table and citation-grounding training.
High-difficulty document AI training — handwritten and degraded-scene text recognition, table and form extraction, and long-document retrieval over domain legalese; grounded citation-level retrieval corpora and preference or rejection-sampling data from expert accept-versus-edit traces on drafted regulatory text; domain instruction-tuning and evaluation for nuclear compliance models using verified question to cited-passage pairs; licensing-throughput and regulatory-timeline modelling from change-evaluation durations and NRC follow-up rates; expert-annotation and evaluation data for frontier-lab safety and specialist-reasoning benchmarks; and investor-facing signal on operating-fleet uprate and restart licensing cadence for public nuclear utilities and developers
The data is with 3 years of history.
Coverage spans US; Application Software, Independent Power and Renewable Electricity Producers; alternative, reference, supply_chain; equities.
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