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We cannot improve what we do not measure. Artificial intelligence applied to text.
MORE INFORMATIONData in text documents accounts for more than 85% of the business information of companies, while less than 2% are used for company decision-making.
The objective is to improve document organization and interpretation capabilities.
Employ mono-label or multi-label classification of your documents (contracts, emails, bid specifications or other internal documents) and maximize your productivity.
Identify key points in documents (people, places, organizations, roles, etc.) to quickly assist decision-making about those documents.
Drag your document, copy a paragraph, filter by label, or use our free text search bar to find in seconds the documents needed for your work, while detecting duplicates or documents useless to your business and thus optimizing storage space.
Powerful management dashboard enabling you to combine and filter numerous labels, dates, subjects and other meta-data facilitating in-depth analysis and interpretation of data in text documents.
Objective: Leading European company in legal information challenged to improve its customers’ experience.
Outcome:
Remember: we cannot improve what we do not measure.
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