Text mining, semantic extraction

a powerful foundation for all your text analysis needs


Thanks to the unique ability to learn high quality representations on large amounts of text (unsupervised or semi-supervised, if you have class data, for instance), without sacrificing the size of the vocabulary, eXenGine can be used to perform a large variety of tasks : classification, clustering, relevant terms extraction, similar documents search,...

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Relations and behaviour analysis

to connect the dots


Large scale connections analysis is a hard task, and usually Matrix Factorization methods are quickly discarded because they are too expensive, or have a low quality. Other methods like graph-based distances are more scalable but miss a lot of generalizations and are more prone to hubness problems. Our very special algorithm, NCISC, is one of the very rare that combine speed, scalability, robustness and quality

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Scalability

remove all limits


Text or behaviour analysis of high quality used to be expensive or just undoable : methods like Deep Learning (word2vec or GloVe) and LDA are very hard to scale or too expensive. With our data analysis engine eXenGine and our Wikipedia exploration demo, we have proved that performing an analysis of the same quality can be done on a full vocabulary, on the full link graph for less than $25

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The power of cross-data analysis!

With eXenGine, you bring the unique power of a document analysis solution that unifies text (semantic) processing, graph analysis (inter document links, social connections), and behavior analysis.

Cross-data engine

eXenGine uses a unique machine learning algorithm with extreme robustness, high relevance and the unique ability to cross-feed data from different sources. eXenGine can be used as a foundation for recommender systems (behavior or content-based), document exploration, classification, customer segmentation,...

Big Data

Based on Apache Spark, and more importantly, using a super-fast, super-scalable analysis method, eXenGine can deal with several hundreds of millions of documents, and provides a real-time query engine for the exploitation of the analysis. There is simply no limit to the amount of data you can process

Your use case

We provide extreme customization services to adapt eXenGine to your problem and help you beat the competition in your area : search, e-marketing, law, patents, scientific edition, e-commerce.

News at eXenSa

  • Meet you at the Big Data Business Convention

    University Paris-Saclay organizes the first Business / Academics event in France with the Big Data Business Convention 24-25 October at the HEC campus. Meet you at the eXenSa's booth to talk about our latest works and our future : we're working on a online version of our multi data anaylsis solution. Currently we process the whole English Wikipedia from scratch Continue Reading...
  • eXenSa has one more PhD !

    Morgane Marchand, recently hired at eXenSa, has just defended her Thesis at University Paris XI. Welcome to the club ! Thanks to her, eXenSa is now again slighlty predominantly ruled by PhDs ! Congratulations from the whole team. игровые автоматы бесплатно без...
  • eXenSa takes part in DataTechs meetup organization

    As a Tech'Mentor of the Epitech Innovation Hub, Guillaume Pitel co-organizes DataTechs with Nicolas Kamennoff, a new  meetup about Data, Big Data, Data Science and Machine Learning. The goal of the meetup is to bring students and beginners together to help them discover Data with 4 differents points of view : Certes, vous pouvez pas lire les versions de jeux de Continue Reading...
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Our Services

Customizing and Licensing our technology is our primary activity. 
We provide advices, development and report to help you build your own data analysis solutions : Big Data algorithms, Data Science, Machine Learning and Big Data systems (Apache Spark) are our domain of expertise. 
We help companies doing research to write their annual activity reports for tax credits
We give training session on GPGPU, Spark, High performance computing. 

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