For many businesses in the financial services sector, processing financial statements is a time-consuming and cumbersome task - enter Evolution AI.
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Extracting financial data requires reading and understanding financial statements such as balance sheets, cash flow and income statements. Automating this process requires an understanding of financial terminology and the ability to read complex financial tables. However, full automation can be difficult to achieve given the nuances in how data can be presented across different documents.
Our solution extracts data from financial documents with ultra-high accuracy. Training the model is a quick and easy process that ensures that our technology can effortlessly extract the correct data from complex financial documents.
Evolution AI's technology is designed to extract data from financial documents with ultra-high accuracy. Our software is trained to interpret the visual cues on the page, much like a human would, making it possible to recognize fields with different names (e.g., "tangible assets" might appear as "machinery," "plant," "property," "inventory," or other variations) and extract the relevant information quickly.
The result is highly intelligent software that’s both easy and satisfying to use.
Comprehensive QA workflow and audit log, tracking each data point to its source within a document.
Post processing rules and accountancy calculations.
All data is validated by human annotators for guaranteed accuracy.
Comprehensive QA workflow and audit log, tracking each data point to its source within a document.
Post processing rules and accountancy calculations.
All data is validated by human annotators for guaranteed accuracy.
We provide specific functionality to handle units and currency for each extracted monetary value along with sophisticated date handling. Complex multipage tables are also properly parsed and extracted. Documents are automatically classified according to type.
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“When outsourcing data extraction, it’s critical to choose a solution that allows in-house staff to verify and confirm data accuracy easily. Data quality is a top priority for private markets operations, and no compromises should be made.”
- Dr Martin Goodson, Co-founder and CEO
