Make your 10-K legible to the AI systems that will read it first
Before your annual report is filed, LyraMind scores how clearly AI agents and institutional readers will parse it, then hands you the exact sentences to fix. The result is an AI Readiness Report: sub-scores, a simulated analyst panel, and the questions the filing will trigger.
The problem
A 10-K is long, hedged, and dense with risk factors and MD&A narrative. The first readers are no longer human: quant engines, thematic aggregators, and financial agents parse it, and they can misread stacked hedges, double negatives, and unquantified claims in ways that shape how your name is summarized. You do not get to see that misread until after you file.
How LyraMind does it
Paste the draft (or a section like Item 1A or Item 7). LyraMind runs the legibility scan over six factors (hedging density, quantification, sentiment stability, negation clarity, structural clarity, extractability), then spins up a synthetic panel of institutional archetypes and computes consensus comprehension, blind spots, and the questions the text will provoke. The graph adds a freshness signal from filings already on record.
What you get
A board-ready readout: dimension sub-scores (institutional, retail, developer, regulatory readiness, explainability, evidence coverage, contradiction clarity), the flagged spans most likely to be misparsed each with a plain rewrite, and the predicted questions to pre-empt. Every report records to the Trust Ledger so you can track readiness across filing cycles. The public demo runs on sample text you paste; your own 10-K draft works the same way.
- Paste your 10-K draft or a single section (risk factors, MD&A)
- Get six legibility factors scored pass / warn / fail
- See consensus comprehension across a synthetic institutional panel
- Read the predicted questions the filing will trigger
- Fix the flagged spans, each with a concrete rewrite
- Overall verdict: AI_READY, IMPROVE_BEFORE_FILING, or HIGH_MISREAD_RISK
Questions
Does this predict how ChatGPT or Gemini will rate my stock?
No. It is a transparent legibility analysis of your public text. It never predicts or games a specific named model, and it is not investment advice.
Do I need to upload the whole 10-K?
No. You can scan the full draft or paste a single section such as Item 1A risk factors or the MD&A. Shorter, focused passes are often the most actionable.
What powers the analyst panel in the demo?
Deterministic synthetic archetypes, honestly labeled, not any real firm's AI. Live frontier models can join the panel only when the gateway is configured for it; otherwise the panel is offline-safe.