Question 1

What is the source of this data?

Accepted Answer

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

Question 2

How often is the data updated?

Accepted Answer

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

Question 3

What is SpaCy?

Accepted Answer

SpaCy is a leading opensource library for Natural Language Processing NLP in Python It provides efficient tools and a simple API for various NLP tasks such as tokenization POS tagging named entity recognition and dependency parsing SpaCy is known for its speed and accuracy making it a popular choice among developers and researchers working with large volumes of text data The library is designed to be userfriendly enabling users to quickly implement complex NLP pipelines with minimal effort

SpaCy falls under the category of NLP and Sentiment Analysis technology offering a wide range of functionalities to analyze and process text data From extracting entities and relationships to performing sentiment analysis on text SpaCy caters to diverse NLP tasks required in industries like ecommerce social media and customer service

Founded in 2015 by Matthew Honnibal and Ines Montani SpaCy aimed to provide a modern and efficient NLP tool to the community With a focus on speed and usability the developers set out to create a library that could handle largescale text processing tasks with ease Since its inception SpaCy has gained widespread adoption in both academia and industry becoming a goto choice for NLP projects

In terms of market share SpaCy has been steadily growing in popularity within the NLP technology landscape With its robust features and continuous updates SpaCy is wellpositioned to maintain and even increase its market share in the future As the demand for NLP solutions continues to rise across various sectors SpaCys versatile capabilities are likely to drive its growth trajectory forward

Question 4

How to get an updated list of companies that use SpaCy?

Accepted Answer

You can access an updated list of companies using SpaCy by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does SpaCy have?

Accepted Answer

As of now, we have data on 5,321 companies that use SpaCy.

Question 6

Who uses SpaCy?

Accepted Answer

SpaCy is used by a diverse range of organizations across various industries, including "Software Development", "Information Services", "IT Services and IT Consulting", "Software Development", "Financial Services", "Software Development", "Financial Services", "Defense and Space Manufacturing", "Software Development", "IT Services and IT Consulting". For a comprehensive list of all industries utilizing SpaCy, please visit TheirStack.com.

Question 7

What companies use SpaCy?

Accepted Answer

Some of the companies that use SpaCy include Thomson Reuters, Gartner, StratasCorp Technologies, Aiven, FactSet, Bosch, UBS, LinQuest Corporation, Oodles Technologies, LTIMindtree and many more. You can find a complete list of 5,321 companies that use SpaCy on TheirStack.com.

Question 8

In which countries SpaCy is used the most?

Accepted Answer

Based on our data, SpaCy is most popular in United States (1,544 companies), United Kingdom (325 companies), India (292 companies), France (138 companies), Germany (106 companies), Canada (101 companies), Spain (90 companies), Netherlands (60 companies), Singapore (46 companies), Brazil (43 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use SpaCy?

Accepted Answer

You can find companies using SpaCy by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
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Companies that use SpaCy

How to target SpaCy users

SpaCy alternatives and competitors

Hugging Face

Transformers

GitHub Copilot

Optic

Thematic

Plasticity

Gensim

CoreNLP

FastText

IBM Watson Assistant

Sinequa

Spark NLP

Stanza

Dragon NaturallySpeaking

Serenade

Apache cTAKES

AdaTest

Dasha

Lucet

rasa NLU

HumanFirst

Google Cloud Speech-to-Text

Microsoft Azure Speech to Text

Nuance Recognizer

Azure Translator

Speechly

MonkeyLearn

AYLIEN

NLP Cloud

Azure Language Understanding

Nuance Nina

Nuance Text to Speech

Google Cloud Natural Language API

Azure QnA Maker

AlchemyAPI

Telosys

Semantria

Codeium.vim

IBM Watson Knowledge Studio

IBM Watson Speech-to-Text

IBM Watson Content Analytics

Oracle InQuira

IBM Watson Tone Analyzer

Celebros Search

NeuronBlocks

Nuance RadWhere

Nuance SpeechMagic

Nuance Transcend

Label Sleuth

Tisane Labs

SpaCy customers by country

United States

United Kingdom

India

France

Germany

Canada

Spain

Netherlands

Singapore

Brazil

List of companies using SpaCy

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is SpaCy?

What is SpaCy?

How to get an updated list of companies that use SpaCy?

How to get an updated list of companies that use SpaCy?

How many customers does SpaCy have?

How many customers does SpaCy have?

Who uses SpaCy?

Who uses SpaCy?

What companies use SpaCy?

What companies use SpaCy?

In which countries SpaCy is used the most?