FINANCE

SEC Financial Document Analysis

Turn years of SEC filings into searchable, measurable competitive intelligence.

Public companies publish thousands of pages of annual reports, quarterly filings, earnings call transcripts, proxy statements, investor presentations, and regulatory disclosures every year. Steeped AI transforms SEC filings and financial documents into searchable, measurable intelligence that helps finance teams, investors, consultants, and corporate strategy groups uncover trends hidden across years of disclosures. Automatically identify evolving business risks, competitive strategies, capital allocation priorities, regulatory changes, product investments, litigation trends, and management commentary.

Compare filings across companies or time periods, quantify recurring disclosures, and generate evidence-backed reports with precise citations instead of manually reviewing lengthy financial documents.

Base Column
filing_text ▾
Value Column
risk_flag ▾
Base Column filing_text ×Value Column ×
38%offiling_text=litigation_risk
flag for review
surprising score
100%
flagged count
494
filing count
1,300
see examples
24%offiling_text=margin_pressure
flag for review
surprising score
82%
flagged count
312
filing count
1,300
see examples

Document Digitization

Use Steeped AI's document digitization to turn scanned proxy statements, investor decks, and older filings into clean, structured fields. Disclosures buried in image-based PDFs become searchable and comparable alongside native filings, so no year of history is left out of the trend.

10-K FILINGSTRUCTURED FIELDSSegment: cloudRisk: litigationCapex: +18%Guidance: raised

AI Topic Mapping

Use Steeped AI's AI topic mapping to quantify business risks, capital allocation priorities, and litigation trends across every filing, even when management phrasing shifts year to year. Cross-tabulate each theme by company and period so you track how the disclosure narrative actually changes.

business riskcapital allocationlitigation trend

Data Preparation

Use Steeped AI's data preparation to reconcile tickers, filing dates, and segment names across companies and years before analysis. When every source names the same entity or period differently, Steeped AI standardizes them first, so cross-company comparisons compare like with like.

Tickers "AAPL", "Apple" and "AAPL US" were unified
Filing dates in 4 formats were standardized to one calendar
Segment names were mapped to a single taxonomy
Removed column "edgar_raw" because 88% of values were blank
Duplicate filing sections were merged into one
generating new dataset
NEW DATA

Enterprise RAG & Custom Search

Ask across years of filings and transcripts with Steeped AI's enterprise search engines. Instead of scrubbing 10-Ks before a coverage note, ask how a company's risk or strategy language has shifted and get the exact passage back with its citation, so every claim traces to the filing.

How has litigation risk language changed?Risk factor expanded in the FY24 10-K1Now names 3 active proceedings2Up from 1 in the prior year3

The insights are already in your data.

Ask your data anything. Get real findings ranked by impact, with AI reports your team can present and share on the spot.