Analysing financial statements in the financial services industry is a notoriously time-consuming and cumbersome task. Financial statements are lengthy documents, especially when contained in annual or quarterly reports. Using technology to extract complex tabular data generally fails due to variability in page structures.
Many businesses instead rely on employees to trawl the statements and extract the required data. However, manual data extraction is a long-term drain on resources for organisations that should be prioritising strategic initiatives (not to mention extremely tedious for employees).
We’ve worked closely with firms across financial services to simplify statement analysis. The result? An advanced and well-trained AI tool that can understand acute financial terminology like a seasoned accountant. Financial Statements AI captures data from financial statements, leveraging it to compute key metrics. The data can then be downloaded as an Excel file instantly.
Cash and Cash Equivalents
Marketable Securities
Inventories
Accounts Receivable, Net and Other
Total Current Assets
Total Current Liabilities
Total Shareholder Equity
Gross Profit
OPEX
EBITDA/EBIT
Short-term Debt
Long-term Debt
Post-processing rules and calculations
Documents are automatically classified according to type e.g. balance sheet or income statement
Sophisticated handling of units and currency for each extracted monetary value
Ability to make value adjustments
Self-service with unlimited support from our acclaimed customer service team
Process large documents e.g. annual or quarterly reports simultaneously
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We're proud to price transparently, with no hidden costs.
Data extraction costs £1.50 per page, and classification costs £0.10 per page.
If you would like to extract from multiple document types (e.g. bank statements, invoices or contracts), please book a demo with our financial data project team.
