About Us

summetix (formerly known as ArgumenText) uses Argument Mining to discover hidden insights in your customer's feedback and to monitor and discover tech and innovation trends. summetix GmbH is a Spin-Off of the Ubiquitous Knowledge Processing (UKP) Lab at the Technische Universität Darmstadt.



Piktogramm Text Mining
Text Mining

State-of-the-art text mining methods add pertinent meaning to unstructured texts.

Piktogramm Deep Learning
Deep Learning

Advanced machine learning techniques ensure high precision in your applications.

Piktogramm Big Data
Big Data

Scalable infrastructures process huge amounts of textual data in record time.

Advanced Customer Feedback Analysis

  • Reduce customer feedback

    In the first step, customer feedback is reduced to the core information, i.e. meaningful statements about specific error patterns, but also the strengths of a product.

  • Cluster similar statements

    In the next step, similar groups of such statements are combined into clusters containing repeatedly mentioned product problems and strengths.

  • Generate insights

    Clusters are then correlated with customer feedback metadata like a production date, a product line, or sales market. Based on this, our customers can prepare or adapt specific actions for product development and improvement or communication campaigns.



Advanced Innovation Monitoring

  • Search for anything

    You can search for new technologies or hot topics around innovaton, but also for products, in thousands of sources.

  • Identify arguments

    The most important pro and con arguments will be identified, helping you to quickly understand potentials and risks of any topic of interest.

  • Understand trends

    By analyzing arguments over time, you will get insights about the past developments and potential future tech trends.

Technology

The technology behind summetix ("ArgumenText") is based on several years of intense research in multiple areas of Natural Language Processing, Deep Learning and Argument Mining. The results have been published in top-tier scientific venues. Below is an overview of the most important components of our system.



Argument Extraction
Argument Extraction

Advanced machine learning techniques ensure high precision in your applications. Details in:

Monitoring and trend Discovery
Monitoring and Trend Discovery

Scalable infrastructures process huge amounts of textual data in record time. Details in:

Available for multiple languages
Available for multiple languages

Multilingual models are available for your language-dependent document collections. Details in:



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Partners

Latest News
Nov 24, 2021 summetix is awarded in the "Gründungswettbewerb" of the German Federal Ministry for Economic Affairs and Energy!

We are among the 6 awardees of the "Gründungspreis+" in this year's Startup competition of the German Federal Ministry for Economic Affairs and Energy! The jury highlighted the innovation and outstanding service offer of our approach, in combination with substantial saving potential for our customers. You can read more about the competition here.

Sep 20, 2021 ArgumenText is part of the EY Startup Academy!

We have been selected for the highly competitive 6-week accelerator program by EY Startup Academy! Looking forward to another great opportunity to learn and accelerate our growth!

Aug 20, 2021 Meet ArgumenText at Hessischer Innovationskongress (HIK) 2021 (virtual event)

We will be giving a talk at the 5th Hessischer Innovationskongress. The talk will happen as part of the "Hessens BEST" Stream on September 2nd at 15:35. We'll also be available virtually at the event.

Jul 15, 2021 New publications added: NAACL and SIGDIAL 2021 (incl. Best Paper award!)

We've added new publications accepted at NAACL 2021, SIGDIAL 2021 and a journal paper accepted by the "KI - Künstliche Intelligenz" journal. The paper "From Argument Search to Argumentive Dialogue: A Topic-Independent Approach to Argument Acquisition for Dialogue Systems", co-authored by Johannes Daxenberger won the Best Paper award at SIGDIAL conference!

More News

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