How does Financial Statements AI work?
Financial Statements AI automatically identifies and classifies balance sheets and income statements from uploaded documents, extracting and standardising raw financial data.
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extracted data
The raw line items of the balance sheet and income statement, accurately extracted.
STANDARDISED data
The key metrics from the balance sheet and income statement, calculated from the extracted data.
Benefits
No More Manually Transcribing Financials
Manually transcribing financial statements into spreadsheets wastes time and talent. Companies should be directing resources towards strategising and forecasting, not completing entry-level tasks.
Reduce Extraction Time to Seconds
It can take minutes or even hours to access financial data in an actionable format. These delays can result in lethargic decision-making and lost opportunities.
Financial Statements AI reads financials quicker than a human, putting structured data at your fingertips.
Review Thousands of Financials
By providing outputs in a standardised format, Financial Statements AI enables users to process, compare and evaluate large volumes of financial statements in Excel with ease.
For example, use Financial Statements AI for seamless financial benchmarking and trend analysis across multiple reports.
Why Financial Statements AI?
Financial Statements AI
Other data extractors
AI virtual assistants
Available across all languages
Accurate extraction
Generate standardised data
Upload multiple documents
Extract from financial statement notes
Acclaimed customer support
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We saved 75% of our costs, the data quality is excellent, and time to completion was halved. It's impressive. Cyril Kirschwing,Head of Change and IT Solution Architecture at Unigestion.
See Financial Statements AI in Action
Features
Key Capability
Business Impact
Extracted Line Items
Financial Statements AI reads balance sheets and income statement PDFs, capturing data in a table for review.
Standardised Data
The tool leverages the extracted data to compute key metrics, such as EBITDA, OPEX, Total Shareholder Equity, Total Current Liabilities, etc. With just one glance at the standardised data, you can gain an overview of a business’s financial health.
User-Friendly Interface & Easy Editing
No need to click around a confused, cluttered interface. Line items and structured data are laid out for your review. If you need to adjust the value of the data, just click.
Team Structure for Different Permission Levels
Keep your data secure, and ensure that only the required parties can edit data.
Excel Support
We automatically provide the formulas to calculate the ratios, indicating the origin of the normalised data. Users can then adjust the formulas to your business use case.
Localisation
Find the data you’re looking for quickly - check the origin of the extracted data for easy reference.
Example Use Cases
Asset Management
Asset managers require financial statements, including annual and quarterly reports, to complete an in-depth analysis of a firm’s securities. Successful valuation involves identifying key data points, such as operational costs, assets, liabilities and debts.
However, manual data extraction is time-consuming for portfolio and fund managers. Manually transferring data into a spreadsheet is a poor use of resources. Many asset management firms rely on their employees to spend hours inputting and verifying data.
Financial Statements AI cuts data extraction from hours to seconds. Asset managers can access validated company data that is ready for processing, including key data points like gross profit, OPEX, EBITDA, EBIT, and levels of short- and long-term debt.
Private Equity
Extracting data from financial statements efficiently is crucial for Private Equity (PE) firms to grow and adapt in fast-paced markets. PE firms are increasingly turning to solutions for capturing complex, high-volume financial statement data.
Quality data enables potential buyers to gain a clearer understanding of a company's operations, supporting more favourable exit outcomes. Therefore, PE demands a technological solution that balances accuracy and speed.
Financial Statements AI is configured to conduct a series of checks to identify anomalies, preserving data quality. The extracted data is then leveraged to compute key metrics like Gross Profit, EBIT, EBITDA and OPEX.
Future versions of Financial Statements AI will provide private equity professionals with instant access to debt-to-equity and profitability ratios.
Commercial Finance
Commercial finance firms are under increasing pressure to make swift decisions on extending credit. Financial statements are essential in verifying a company’s loan repayment ability.
Locating key metrics such as working capital and net revenue in lengthy annual reports is tedious. Highly qualified employees have better uses for their time. One of our clients noted, “I'd rather people were focusing on ‘does this deal feel right’ rather than keying in information”.
Enter Financial Statements AI.
Pricing
Our usage-based pricing means you only pay per page.
We’re proud to price transparently, with no hidden fees.
PRICE PER EXTRACTED PAGE
£1.50 (+ £2 processing fee per document)
For example, if you upload an annual report with an extracted balance sheet and income statement data, the total cost would be £5 (2 x £1.50 + £2).
Try it now
To get started, book a call with our financial data project team, who will provide a demonstration & access.
