Companies that use Seldon

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 Seldon?

Seldon is a powerful technology in the realm of Predictive Analytics, offering cutting-edge solutions for businesses looking to leverage data for forecasting and decision-making. By harnessing advanced algorithms and machine learning models, Seldon enables companies to extract valuable insights from vast amounts of data, ultimately leading to more informed strategies and improved outcomes.

Seldon falls under the category of Predictive Analytics, a field dedicated to using statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. Predictive Analytics empowers organizations to anticipate trends, mitigate risks, and optimize processes across various industries, shaping the way businesses make critical decisions.

Founded in 2014 by Alejandro Saucedo and Clive Cox, Seldon emerged with the vision of democratizing machine learning and predictive analytics for businesses of all sizes. Motivated by the belief that data-driven insights should be accessible to all, the founders set out to develop a platform that simplifies the implementation of predictive models and empowers organizations to unlock the full potential of their data.

In terms of market share, Seldon has gained significant traction within the Predictive Analytics landscape, solidifying its position as a key player in the industry. With a track record of successful implementations and a growing user base, Seldon is poised for continued growth in the coming years. As businesses increasingly prioritize data-driven decision-making, the demand for advanced predictive analytics tools like Seldon is expected to rise, indicating a promising outlook for the company's market share expansion.

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

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

How many customers does Seldon have?

As of now, we have data on 385 companies that use Seldon.

Who uses Seldon?

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

What companies use Seldon?

Some of the companies that use Seldon include Tripadvisor, Visa, American Express, Booz Allen Hamilton, New Relic, Procore Technologies, Altium Packaging, Billie, Corteva Agriscience, LINK Home Therapy and many more. You can find a complete list of 385 companies that use Seldon on TheirStack.com.

In which countries Seldon is used the most?

Based on our data, Seldon is most popular in United States (160 companies), United Kingdom (26 companies), France (12 companies), India (12 companies), Australia (8 companies), Germany (8 companies), Netherlands (7 companies), Canada (4 companies), Finland (4 companies), Japan (4 companies). However, it is used by companies all over the world.

How to find companies that use Seldon?

You can find companies using Seldon 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.