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Doc Review automatically identifies, extracts and structures essential information in your documents:

contracts, invoices, briefing notes, etc.

Functionalities

    Upload your documents, ask questions, get answers

    Convert all your documents (contracts, invoices, memos...) whatever their format (PDF, Scan, Images, Word ...) into structured and usable text.

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    Easily define the key elements to be extracted according to your needs (signatories, specific clauses, pricing conditions).
  • Annotate the results: AI adjusts the solution to your context

    View the results on a straightforward interface, export them or interface them with your other tools.

    Screen DocR 2
    Thanks to our annotation feature, capitalize on your teams' knowledge for a continuous improvement of the AI.

Have a look at Doc Review

Get better operational results

  • Better efficiency

    Reduce the mental load of your teams by freeing them from these unstimulating and time-consuming tasks.

  • Time saving

    Save time and devote it to more strategic activities for the company.

  • Removing errors

    Take full advantage of all the data in your documents and eliminate any risk of error!

  • Optimization

    Enhance the quality of your data and improve accuracy, organization, and efficiency.

They trust us

  • Banking actor

    As part of its actuarial activities, the bank receives a significant volume of reporting files containing key indicators. However, these data are contained in different document formats and in many different forms (tables, figures, text fields, etc.). Searching for this data can be tedious without a suitable tool. With Doc Review, we offer a tool for intelligent extraction of the key indicators that Pacifica needs to pre-populate a UCITS monitoring file.optiwioperation

  • FMCG actor

    Management of the entire billing process. The tool allows the decoding, analysis and classification of information contained in raw invoices in disparate formats, to restore them in clear, exploitable and scheduled data.

  • Financial agency

    Databases optimization and enrichment with essential elements. It allows the processing of a greater quantity and variety of data, sources, and document formats. Users can also isolate the most important elements according to their own criteria to build more robust reports based on extractions.

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Our publications

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How to avoid GDPR issues using GAN (Generative…

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Data driven customer segmentation: Deep dive on…

In the previous article, we described the generic approach to define an actionable data driven customer segmentation. In this article, we will explain in detail the clustering and interpretation steps, focusing on data processing methodologies and data science algorithms.

2022

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