A large portion of the financial industry is devoted to writing and reading financial documents. It is often the case that clients need documents and data processed swiftly, with minimal errors. While it is not so much a revelation that manually extracting data poses the risk of errors occurring, not to mention the prolonged workflow, there happens to be a simple solution. Turicode's machine learning system helps you tackle these issues by extracting, processing, and analyzing data from a large scope of document types.
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Turicode tests 80% of your document samples, giving the remaining 20% a robust evaluation for you to examine against your desired results
In Turicode, we found the right partner for our data extraction POC. The ML technology enabled us to extract surprisingly accurate components of complex insurance policies. This will enable us to increase the quality of our customers' coverages in the future and make internal processes more efficient.
Process a wide scope of document types effortlessly
No language barriers: It operates seamlessly in various languages
Time and cost savings can free up new resources for you and your team
The Machine Learning system stores data in a well-structured and easily-manageable way
Learn more about how the Society for Art History in Switzerland extracted the content from a book series with 137 volumes