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/Index/Everstar (everstar.ai)/Everstar (everstar.ai)
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Everstar (everstar.ai)

EVERSTAR (EVERSTAR.AI)Manage supplier listing

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.

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Everstar (everstar.ai)/Everstar (everstar.ai)
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Coverage

Universe, instruments and categories.

Industry
Application SoftwareIndependent Power and Renewable Electricity Producers
Instruments
equities
Categories
AlternativeReferenceSupply Chain
Regions
US
Sample tickers
CEGVSTTLNDUKSODEXCNEEOKLOSMR
Dataset card
Type
not stated
Format
Multimodal: page images of scanned and handwritten legacy records paired with recovered text, table and handwriting transcription plus layout and traceability links (bounding-box level provenance to source passages); structured change-evaluation and design-control records; text regulatory guidance and drafting templates; and query-to-grounded-answer transcripts from the research assistant
Volume
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
Users
Est. a handful to low tens of licensed enterprise deployments (basis: venture-backed specialist vendor selling demo-gated software into the narrow buyer set that owns the roughly 90 US operating reactors and new-build developers; no customer count, named marquee licensee or seat pricing is published)
History
3 years
Update frequency
not stated
Growth
Active — live, aggressively quantified commercial solution pages with demo calls-to-action, a multi-module product suite (Document Intelligence, Gordian Research, Gordian Change Control) with a venture-backed private team carrying founder-engineer roles, all consistent with an actively shipping and selling product rather than a stalled pilot
Launched
~2023-2024 (basis: the company profile is a New York venture-backed AI venture whose technical founding roster clusters in the 2022-2024 window and whose product category — applied AI for NRC licensing — only emerged commercially in that period; no launch date is printed on the page)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

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Everstar (everstar.ai) has not added their own details yet. Not yet on file:

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