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Deep Forecast overview

Industry
Technology
Revenue
Headquarters
Employees
30
Founded in
Website
Organization type
Private
Deep Forecast is a software house specialized in AI, Big Data, and Machine learning. Their expertise is in building world-class data sets that allow them to get advanced insights on consumer behavior. They leverage their proprietary data and their Machine Learning Engine. They create predictive models that can answer multiple questions within the financial sector: measure company/industry performance; identifying economic patterns with tremendous accuracy, and understand advertising trends. It was founded in 2016 and is based in Menlo Park, California.
Based in Menlo Park, CA, Deep Forecast is a small technology company with only 30 employees and an annual revenue of $520,000.

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The team at Deep Forecast

  • The founders of Deep Forecast are Damian Scavo and Loris D'Acunto.
  • The key people at Deep Forecast are Damian Scavo and Loris D'Acunto.
Key people
Damian Scavo
Loris D'Acunto

Deep Forecast rankings

Deep Forecast is ranked #10 on the Best Technology companies to work for in Menlo Park, CA list. Zippia's Best Places to Work lists provide unbiased, data-based evaluations of companies. Rankings are based on government and proprietary data on salaries, company financial health, and employee diversity.

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Deep Forecast financial performance

6.6
Performance score

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Zippia gives an in-depth look into the details of Deep Forecast, including salaries, political affiliations, employee data, and more, in order to inform job seekers about Deep Forecast. The employee data is based on information from people who have self-reported their past or current employments at Deep Forecast. The data on this page is also based on data sources collected from public and open data sources on the Internet and other locations, as well as proprietary data we licensed from other companies. Sources of data may include, but are not limited to, the BLS, company filings, estimates based on those filings, H1B filings, and other public and private datasets. While we have made attempts to ensure that the information displayed are correct, Zippia is not responsible for any errors or omissions or for the results obtained from the use of this information. None of the information on this page has been provided or approved by Deep Forecast. The data presented on this page does not represent the view of Deep Forecast and its employees or that of Zippia.

Deep Forecast may also be known as or be related to Deep Forecast and Deep Forecast Inc.