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How SuccessData works
SuccessData automates complex screening and analysis processes by extracting relevant data points and producing a predefined structured data output, replacing tasks that would otherwise necessitate tremendous human effort.
What makes SuccessData special?
SuccessData uses sophisticated machine learning to automatically turn “dark” data (unstructured data buried in text, tables or figures which by definition cannot be processed by existing software or analytics platforms) from documents such as legal and commercial contracts, regulatory filings, web pages, news articles or annual reports into machine readable datasets.
Get actionable results quicker
With no hand-labelling needed and models that train on much smaller datasets than traditional techniques, you can achieve operational excellence within days or weeks instead of months.
Get better precision
SuccessData achieves very high levels of accuracy even for difficult or ambiguous extractions with crucially low levels of false positives.
Get more than data
SuccessData’s unique model retrieves not only simple fields but also complex relationships within documents whether from text, tables or images and provides a confidence level for each data point extracted.
Plug and play
SuccessData exposes a set of REST APIs to facilitate the deployment within complex workflows.