Solution

Filings & Financial Document Intelligence

For research, credit, and investment teams at banks, asset managers, and data providers: metrics and disclosures pulled from every filing you cover, diffed against prior periods, and cited to the page.

10-K10-Q8-KAnnual reportsFootnotes
Every figure cited to the source pagePeriod-over-period changes surfaced and ranked1M+ documents processed by the platform

The problem

Why this exists

Footnotes

The numbers that matter hide

Material detail sits in footnotes, segment tables, and risk factors rather than on the face of the statements. Reading for it consistently across a portfolio of filers is beyond any team's hours.

Quarterly

Nobody re-reads last quarter

A reworded disclosure, a metric moved between sections, new risk language — visible only if someone diffs filings side by side. Under coverage pressure, nobody does.

Re-keyed

Extraction loses its provenance

Numbers copied into models and memos lose their source page. When one is challenged months later, tracing it back is an afternoon per figure.

The product, not a promise

A filing you can interrogate

Filings & Financial Document Intelligence — workspace
Segment revenue — pulled from the footnote tableExtracted · citedcited
Risk factors — new language versus the prior 10-QAdditions surfacedcited
Lease obligations footnote — grew against prior periodDelta rankedcited
Non-GAAP reconciliation — metric moved between sectionsTrackedcited
Revenue recognition wording changed mid-paragraph — held for analyst reviewverify
HUMAN-APPROVED BEFORE IT POSTS

How it works

File in. Answer out.

  1. 1

    Ingest

    Filings and reports load as they publish — 10-Ks, 10-Qs, 8-Ks, annual reports, scanned or digital.

  2. 2

    Extract

    Agents pull financial metrics, disclosures, and footnote detail into a structured model.

  3. 3

    Normalize

    Line items align across formats and entities so figures are actually comparable.

  4. 4

    Compare

    Period-over-period deltas surface — changed disclosures, moved metrics, new risk language.

  5. 5

    Review

    An analyst verifies flagged items against the cited page and releases the data downstream.

Who it's for

Built for the people who own the outcome

Research analyst

Filings read for you, changes ranked.

  • Metrics, footnotes, and disclosures extracted the day a filing publishes
  • Every new filing diffed against its predecessors automatically
  • Verification is a click from the number to the page

Head of research

Coverage grows without headcount math.

  • Consistent extraction across every filer, every quarter
  • Figures normalized so filers are genuinely comparable
  • Analyst hours move from reading to judgment

Risk & compliance

A citation trail committees accept.

  • Every downstream figure inherits a link to the primary source
  • Flagged items reviewed and released by a named analyst
  • The full chain — page, value, reviewer, decision — on record
BanksAsset managersPrivate creditRatings & researchInsuranceData providers
100%figures cited to the source page
1M+documents understood by the platform
Human-approvedevery extraction before downstream use

The numbers that matter in a filing are rarely on the face of the statements. They are in the footnotes, the segment tables, the risk factors that quietly changed since last quarter. Reading for them is slow; reading for them consistently across a portfolio of filers is beyond what any team does by hand.

What it does

Botminds ingests filings and financial reports as they publish — 10-Ks, 10-Qs, 8-Ks, annual reports, digital or scanned — and extracts the metrics and disclosures inside them into one structured model. Line items normalize across different presentation formats and entities, so a figure from one filer is genuinely comparable with the same figure from another, and with the same filer a year ago.

The comparison is where the value concentrates. The platform diffs each new filing against its predecessors: a disclosure that was reworded, a metric that moved between sections, risk language that appeared for the first time, a footnote that grew three paragraphs. Changes a manual read would miss — because nobody re-reads last quarter’s filing side by side — surface automatically, ranked and cited.

Every figure defends itself

Extracted data is only worth what you can verify. Every metric and disclosure in the output links to the exact page it came from; click the number, see the filing. Analysts confirm the items that matter in seconds, and anything built on the data downstream — a credit memo, a model input, a research note — inherits a citation trail back to the primary source.

Because extractions feed credit views, risk assessments, and investment decisions, nothing flows downstream unreviewed. Agents extract, normalize, and flag; an analyst approves. The record keeps the whole chain — source page, extracted value, reviewer, decision — which is exactly what a committee or an examiner asks for when they ask where a number came from.

Objections, answered

What teams ask us first

How do I verify an extracted number?

Click it. Every metric and disclosure in the output links to the exact page it came from, so confirmation takes seconds. Items the platform is less confident about are flagged and held for analyst review before anything flows downstream.

We track our own metric definitions, not just reported lines.

Line items normalize to your model. A figure reported under one filer's presentation lands where your definitions say it lands, consistently across filers and periods — which is what makes the comparisons mean something.

What does the audit trail look like when a committee asks?

The record keeps the whole chain: source page, extracted value, normalization, reviewer, and release decision. A challenged figure in a memo or model traces back to the primary source in one step.

How long from signing to covering our filer list?

Filings ingest as they publish, scanned or digital, with no preprocessing on your side. Setup is pointing the platform at your filer list and mapping to your metric model; history backfills so comparisons work from the first quarter.

Bring the densest 10-K you cover.

Watch its metrics, footnotes, and changed disclosures surface — each cited to the page — live in the demo.

Request a demo