RANGE-D: AI that understands human language
 |
Reduce the cost of reading, typing and processing e-mails, documents, claims and images by 80%. |
|
Enrich your databases (CRM, ERP, EDM) |
|
Make your processes more reliable and reduce sources of error |
|
Improve the quality of user experience with automatic response |
RANGE-D: AI that understands human language
|
Reduce the cost of reading, typing and processing e-mails, documents, claims and images by 80%. |
|
Enrich your databases (CRM, ERP, EDM) |
|
Make your processes more reliable and reduce sources of error |
|
Improve the quality of user experience with automatic response |
Flexible, tailor-made technology
|
A catalog of models for extract and verify information information |
|
On all types of documents (pdf, excel, word, jpg...) |
|
Handling tables and page breaks |
Quick to set up
|
The configuration requires no training (without machine learning) or datasets. |
|
Three extraction modes: Pre-trained (standard clauses, standard data)/ Learning (with some examples provided/ Business rules (regex) |
No more data entry
|
RANGE-D files your emails and/or their attachments, in any format (pdf, jpg, word, handwritten...) |
|
Extraction of information from all types of documents (invoices, ID documents, tax forms, RIBs, etc.) data is exported to workflow systems |
|
Your administrative staff can focus on higher value-added with higher added value |
A highly intelligent tool
|
HUGO continuously improves thanks to user feedback |
|
A system that only needs ten to learn how to classify documents. |
|
HUGO understands human language, and therefore the subject of e-mails. The machine directs the e-mail to the right expert, and proposes an appropriate response . |
Flexible and secure
|
Saas or On Premise |
|
Available via API |
|
Secure solution end-to-endANSSI-certified cloud |
|
Temps de traitement <10ms par document |
Identifying multiple fields of interest:
|
Last name, first name, year, date, title, author, abstract, stamp, logo, signatures, document languages, names of people, places, documents cited, figures, footnotes, acronyms, images, photos, number of document pages |