From financial statements & contracts to

data.

Eradicate manual data processing. No code, no template. Simple.

From complex {Financial statements, contracts, prospectuses} to {structured, normalised, validated} data 

Eradicate manual data processing. No code, no template. Simple.

They trust us

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SuccessData is an Intelligent Document Processing solution that redefines how you can access data in your most complex unstructured documents.

GET A STRUCTURED REPRESENTATION OF YOUR DATA

  • Work from the description of the information you need to extract 
  • Seamlessly retrieve contextual and hierarchical information conveyed jointly via textual, structural, tabular, and even visual expressions from complex unstructured documents and map to this representation

UNDERSTAND, NORMALISE, VALIDATE AND ENRICH 

  • Categorize and classify each data point so as to normalise and format dates, amounts/currencies, addresses and other standard fields 
  • Map to product lists or industry-standard taxonomies
  • Cross-reference output with other data sources, with import of reference data via pre-defined APIs
  • Implement consistency or validation checks, calculate derived fields

GET THE CONTEXT

  • Retrieve not only the actual value extracted from the document but also extensive metadata (such as the confidence interval of the prediction, where the information was found in the document, which version of the model was used, creation time and more) in the results dataset
  • Ensure complete data lineage so the output is consistent through your downstream process

NO AI ENGINEERING 

  • Change paradigm from tedious hand-labeling to labeling automatically and achieve fundamentally faster, more flexible, and much higher quality end-to-end ML development and deployment process 
  • Leverage programmatic supervision to build training sets using heuristic functions and completely mitigate the key pain point for most ML implementations. 

Why SuccessData?

From self-learning models to complete data lineage, we offer a combination of enterprise-grade AI that no other solution in the market provides, out-of-the-box.

SD
Others
Complex data extraction
Go beyond simple key-value pairs and get superior accuracy with complex tables or one-to-many relationships.
Yes
No
No template
Seamlessly process documents that the machine learning model has not seen before. No human in the loop required to code new templates.
Yes
No
Enterprise-grade AI
Rely on the same robust QA process for the machine learning models that the one you would expect from traditional software. Process any document type (native PDFs, scans/images, emails, Word/Excel files, etc.) in the cloud or on-prem through the same import pipeline.
Yes
No
Self-learning models
Leverage self-learning models where accuracy and automation improve over time.
Yes
No
Data lineage
Get complete traceability for each and every data point that you extract, including version-control for the model used.
Yes
No