Companies that use SpaCy

Frequently asked questions

What is the source of this data?

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.

How often is the data updated?

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.

What is SpaCy?

SpaCy is a leading open-source 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 user-friendly, 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 e-commerce, 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 large-scale text processing tasks with ease. Since its inception, SpaCy has gained widespread adoption in both academia and industry, becoming a go-to 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 well-positioned to maintain and even increase its market share in the future. As the demand for NLP solutions continues to rise across various sectors, SpaCy's versatile capabilities are likely to drive its growth trajectory forward.

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

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.

How many customers does SpaCy have?

As of now, we have data on 2,801 companies that use SpaCy.

Who uses SpaCy?

SpaCy is used by a diverse range of organizations across various industries, including "Software Development", "Financial Services", "Information Services", "Software Development", "It Services And It Consulting", "Pharmaceutical Manufacturing", "Hospitals And Health Care". For a comprehensive list of all industries utilizing SpaCy, please visit TheirStack.com.

What companies use SpaCy?

Some of the companies that use SpaCy include KPMG - Singapore, Thomson Reuters, ritepros, FactSet, Gartner, Aiven, RELX Group, Eli Lilly, The Allen Institute for AI, Optum and many more. You can find a complete list of 2,801 companies that use SpaCy on TheirStack.com.

In which countries SpaCy is used the most?

Based on our data, SpaCy is most popular in United States (919 companies), United Kingdom (195 companies), India (144 companies), France (79 companies), Germany (76 companies), Canada (55 companies), Spain (54 companies), Netherlands (34 companies), Brazil (27 companies), Singapore (23 companies). However, it is used by companies all over the world.

How to find companies that use SpaCy?

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.