Entity Consistency Audit: Align the Organization Surfaces You Control

I'm going to give you every place my organization describes itself,
each labeled with where it lives: homepage hero, about page, footer,
Organization JSON-LD, llms.txt, and social bios (LinkedIn, X, GitHub,
Crunchbase, whatever I have).

Goal: one canonical entity record, and the proposed edits to align every
surface I supplied. Done means all three of these hold for that supplied scope:
- the organization name is the identical string on every surface
- one description under 25 words appears verbatim on the homepage, the
  about page, and in the JSON-LD description field
- the JSON-LD sameAs array lists every social profile I pasted, and no
  profile links to a name that contradicts the canonical one

Work toward that:
1. Extract from my pastes: every variant of the name, every distinct
   description, and every stated fact (founding year, location, category,
   size). Build a conflict table: Fact | Variants found | Where each lives.
2. Propose the canonical record: exact name string, the under-25-word
   description, and one value per disputed fact. Where variants conflict,
   pick the one supported by the most authoritative surface (legal or
   about page beats a social bio) and say which you picked and why.
3. For every surface, output the exact replacement text, ready to paste.
   For the JSON-LD, output the full corrected Organization block with a
   complete sameAs array.
4. End with the checklist from the "done" definition above, marking what
   passes right now versus after I apply the proposed edits. Do not claim
   this controls how an AI product or an unprovided third-party page will describe the organization.

First ask me to paste the self-descriptions, each labeled with its source,
all in one message. Wait until you have them before doing anything.