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pymetrics's revenue is $18.0 million.

What is pymetrics's revenue?

Pymetrics's annual revenue is $18.0M. Zippia's data science team found the following key financial metrics about pymetrics after extensive research and analysis.
  • Pymetrics has 139 employees, and the revenue per employee ratio is $129,496.
  • Pymetrics peak revenue was $18.0M in 2024.

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Peak revenue
$18.0M (2024)
Company peak revenue
Revenue / employee
$129,496
Company revenue / employee

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Peak revenue
$18.0M (2024)
Company peak revenue
Revenue / employee
$129,496
Company revenue / employee

pymetrics financing

Pymetrics received early financing of $2.5M on 2013-09-20.

SeriesRound sizeDate
Seed$2.5M09/2013
Series A$6.1M08/2016
Series A$8M09/2017
Series B$40M09/2018

pymetrics investors

InvestorsSecurity type
Andy PalmerSeed
TechammerSeed
Terrance G. McGuireSeed
Jeff HammerbacherSeed
Khosla VenturesSeed
MercerSeries A
Randstad Innovation FundSeries A
BBG VenturesSeries A
Khosla VenturesSeries A
Workday VenturesSeries A
Jazz Venture PartnersSeries A
Randstad Innovation FundSeries A
BBG VenturesSeries A
Khosla VenturesSeries A
Workday VenturesSeries B
Jazz Venture PartnersSeries B
Salesforce.com Inc.Series B
General AtlanticSeries B
Khosla VenturesSeries B

pymetrics competitors

Pymetrics's top competitor, Anki, earned an annual revenue of $114.0M.

Pymetrics's smallest competitor is Curtsy with revenue of $740.0K last year.

Company nameAverage salaryRevenueEmployee sizeJob openings
Jitterbit-$2.6M10-
RiskSense-$4.2M50-
Simon-$15.0M152-
Povio-$14.0M122-
Pocket Points-$1.0M50-
Prezi-$30.0M20-
Curtsy-$740,00030-
Anki-$114.0M49-
Roomi-$2.2M125-
Allbound-$5.0M57-

pymetrics revenue FAQs

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Zippia gives an in-depth look into the details of pymetrics, including salaries, political affiliations, employee data, and more, in order to inform job seekers about pymetrics. The employee data is based on information from people who have self-reported their past or current employments at pymetrics. 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 pymetrics. The data presented on this page does not represent the view of pymetrics and its employees or that of Zippia.

pymetrics may also be known as or be related to Pymetrics, Pymetrics, Inc. and pymetrics.