The challenge
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.

The solution
Our solution extracts data from financial documents with 99.5% accuracy. 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.

We provide specific functionality to handle units and currency for each extracted monetary value along with sophisticated data handling. Complex multipage tables are also properly parsed and extracted.

Our Evolution Catalyze managed-service leverages Transcribe and NLP to perform data extraction tasks. All setup, AI training and QA is performed by our expert AI consultants. Our pool of human-in-the-loop annotators provides human oversight and verification. High-quality data can be provided in JSON or CSV, via FTP or our REST API.