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Acquisition by Oracle DataFox was acquired by Oracle, bringing its cloud-based AI data engine and business content to optimize business decisions. This acquisition indicates a strong industry recognition and market interest in advanced data intelligence solutions.

Recent Product Launches DataFox has recently launched multiple products such as Account Scoring, Inbound IQ, and DataFox Deal Engine. These new capabilities provide enhanced solutions for sales teams to prioritize accounts, bridge the gap between leads and strategies, and build proprietary deal pipelines, creating potential sales opportunities for business development.

Recognition as Best Workplace Being recognized as one of Inc. magazine's Best Workplaces in 2018 showcases DataFox's commitment to employee engagement and company culture. Positive workplace environments can attract top talent and foster innovation, which can translate into more effective sales strategies and customer interactions.

Key Tech Stack DataFox utilizes key technologies such as Google Analytics, BugSnag, and AddThis, indicating a commitment to leveraging advanced tools for data analysis and customer engagement. Understanding their tech stack can help in aligning potential sales offerings with their existing infrastructure and needs.

Financial Health and Growth Potential With a revenue range of $10M - $50M and significant funding, DataFox demonstrates financial stability and growth potential. This indicates the capacity to invest in new solutions and partnerships, presenting lucrative opportunities for sales collaborations and expansions.

Similar companies to DataFox

DataFox Tech Stack

DataFox uses 8 technology products and services including Google Analytics, BugSnag, SiteCatalyst, and more. Explore DataFox's tech stack below.

  • Google Analytics
    Analytics
  • BugSnag
    Analytics
  • SiteCatalyst
    Analytics
  • Handlebars
    Javascript Frameworks
  • Moment.js
    Javascript Libraries
  • jQuery
    Javascript Libraries
  • Facebook
    Widgets
  • AddThis
    Widgets

Media & News

DataFox's Email Address Formats

DataFox uses at least 2 format(s):
DataFox Email FormatsExamplePercentage
First@datafox.coJohn@datafox.co
50%
First.Last@datafox.coJohn.Doe@datafox.co
49%
First.Middle@datafox.coJohn.Michael@datafox.co
1%
First.Last@datafox.comJohn.Doe@datafox.com
47%
First@datafox.comJohn@datafox.com
45%
FirstL@datafox.comJohnD@datafox.com
5%
F.Last@datafox.comJ.Doe@datafox.com
3%

Frequently Asked Questions

Where is DataFox's headquarters located?

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DataFox's main headquarters is located at 835 Howard St San Francisco, CA 94103 US. The company has employees across 6 continents, including AsiaNorth AmericaSouth America.

What is DataFox's phone number?

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You can contact DataFox's main corporate office by phone at . For more prospecting data, LeadIQ has access to up-to-date and accurate contact information within our platform. Find, capture, and sync contact data to your CRM and sales tools in one click.

What is DataFox's official website and social media links?

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DataFox's official website is datafox.com and has social profiles on LinkedIn.

How much revenue does DataFox generate?

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As of April 2022, DataFox's annual revenue reached $15M.

What is DataFox's SIC code NAICS code?

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DataFox's SIC code is 7389 - Business Services, Not Elsewhere Classified NAICS code is 5415 - Computer Systems Design and Related Services.

How many employees does DataFox have currently?

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As of April 2022, DataFox has approximately 84 employees across 6 continents, including AsiaNorth AmericaSouth America. Key team members include CTO & Cofounder: B. T.Head Of People Operations And Recruiting: A. M.Co-Founder And Chief Data Scientist: A. T.. Explore DataFox's employee directory with LeadIQ.

What industry does DataFox belong to?

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DataFox operates in the IT Services and IT Consulting industry.

What technology does DataFox use?

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DataFox's tech stack includes Google AnalyticsBugSnagSiteCatalystHandlebarsMoment.jsjQueryFacebookAddThis.

What is DataFox's email format?

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DataFox's email format typically follows the pattern of . Find more DataFox email formats with LeadIQ.

How much funding has DataFox raised to date?

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As of April 2022, DataFox has raised $5M in funding. The last funding round occurred on Nov 07, 2017 for $5M.

When was DataFox founded?

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DataFox was founded in 2013.
DataFox

DataFox

IT Services and IT ConsultingCalifornia, United States51-200 Employees

On October 22, 2018, Oracle announced that it has signed an agreement to acquire DataFox,
whose cloud-based artificial intelligence (AI) data engine and derived business content provide
the most current, precise and expansive set of company-level information and insightful data to
optimize business decisions. The transaction has closed.

DataFox is a company intelligence platform that helps sales, marketing, and investing teams find and prioritize target companies to source more opportunities. DataFox's team of 100+ human analysts verify AI-sourced insights on millions of businesses to provide robust Company Data, Growth Signals, and Account Scoring.

Headquartered in San Francisco, CA, DataFox is backed by Goldman Sachs, Green Visor, Google Ventures, and Slack, and used by high-growth startups and Fortune 500 companies alike; examples include UPS, Accel Partners, Bain & Company, Twilio, Zendesk, and Outreach.

Section iconCompany Overview

Headquarters
835 Howard St San Francisco, CA 94103 US
Phone number
SIC Code
7389 - Business Services, Not Elsewhere Classified
NAICS Code
5415 - Computer Systems Design and Related Services
Founded
2013
Employees
51-200

Section iconFunding & Financials

  • $5M

    DataFox has raised a total of $5M of funding over 7 rounds. Their latest funding round was raised on Nov 07, 2017 in the amount of $5M.

  • $10M$50M

    DataFox's revenue is in the range of $10M$50M

Section iconFunding & Financials

  • $5M

    DataFox has raised a total of $5M of funding over 7 rounds. Their latest funding round was raised on Nov 07, 2017 in the amount of $5M.

  • $10M$50M

    DataFox's revenue is in the range of $10M$50M

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