Company profiledatatext.eu ↗

Datatext

Datatext is a freelance data science practice with expertise in natural language processing.

Information Technology and Services
Headquarters
Brussels, BelgiumSource: RevenueBaseRetrieved October 13, 2026
Employee range
1 to 10Source: RevenueBaseRetrieved October 13, 2026
Founded
2017Source: RevenueBaseRetrieved October 13, 2026
Published list appearances
15 supported appearances ↗Source: RevenueBase lists
The company at a glance

What does Datatext do?

It can join data science teams for short- or long-term projects.

Based on the company’s public LinkedIn information, supplied through RevenueBase.

Who it serves

The company serves businesses seeking to better understand their customers, leads, or processes through data.

What the business offers

Services & capabilities.

NLP implementation

Implements natural language processing techniques to leverage unstructured data.

Source: LinkedIn company description · Retrieved October 13, 2026

Training sessions

Provides training sessions on coding and data science.

Source: LinkedIn company description · Retrieved October 13, 2026

Explore the business in context

Company lists.

Supported appearances on published RevenueBase lists, including available memberships beyond displayed rankings.

Positions describe ordering within each source list. See how lists are built ↗

Share your recognition

Embeddable award for your website

BADGE PREVIEWDatatext listed #6 on Nlp companies, September 20, 2026Open the published source list.
Datatext

#6 Nlp companies

Snapshot: September 20, 2026

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Company information

Sources & data notes.

RevenueBase prepared this profile from the company’s public LinkedIn information and RevenueBase company data. These source records were retrieved on October 13, 2026. AI helped summarize these sources, with a separate automated check against the source text completed on November 4, 2026. Directory positions use company-contact counts from separate saved list snapshots dated August 31, 2026, September 20, 2026, September 27, 2026 and September 30, 2026. How the company lists are built.

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