Asset managers and banks require precise and up-to-date financial data to make investment decisions and report on performance.
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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.
Our solution extracts data from financial documents with ultra-high accuracy. Additionally, our human-in-the-loop (HITL) element ensures any errors are corrected and validated prior to completion. Evolution Transcribe reads complex financial tables by interpreting the visual cues on the page much like a human would. Our algorithms have the flexibility to understand when a field is named in different ways: the field ‘tangible assets’ can appear as 'machinery', 'plant', 'property', 'inventory', or many other variations, but it nevertheless needs to be extracted correctly.
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
