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PYMETRICS (NOW HARVER)

Industry-leading hiring solution providing data-driven talent decisions
🏢 Large enterprise
Last updated: 27 Aug 2024 |

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Headquarter
United States of America
Headcount
201-500
Industry
Information & Communications Technology (ICT)
Recent funding
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Learn more

Harver is the industry-leading hiring solution that helps organizations make informed talent decisions through its suite of automated solutions. By leveraging over 35 years of rich data insights rooted in I/O psychology and cognitive science, Harver provides trustworthy, data-driven, and adaptable o...See more

Industry & specialities
talent managementrecruitinginsightsfuture of workmatchingethical ai+12 more
Details
Headquarter
United States of America
Countries of operation
Singapore, United States of America
Year founded
2017 (7 years)
Funding status
Series B
Company type
MNC / Large Enterprise

Contact

Address:
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Phone number:
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Company email:
Website:
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Social media:

Key People

Solutions Engineer Lead for APAC

Director

Director

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*This profile is created/compiled by The Grid to the best of our research ability, it is not currently maintained by or endorsed by .

Insight

Signals
title-icoAt a glance
  • Operates in multiple countries
  • The company has a sophisticated ownership structure and may be part of a large corporate group

  • The company's annual budgeting is likely to take place between November - January

* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.

People

PYMETRICS (NOW HARVER) has a total of 3 people across Singapore and 1 other countries.

People Location

  • 3
    · Singapore
Job function

  • 1
    Hidden function
Seniority

  • 2
    Hidden seniority
  • 2
    Hidden seniority
  • 1
    Hidden seniority
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3 people
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Job title
Name
Email
Country based in
Job Function
Seniority
Solutions Engineer Lead for APAC
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Director
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Director
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* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.

Financials

PYMETRICS SINGAPORE PTE. LTD.

Reg No: 201725126M

Singapore

Fiscal/Budgeting Period:
November - January
Auditor:
ENTERPRISE ACCOUNTANTS LLP
Revenue:
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Financial period end date:
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Share Capital - Ordinary shares:
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* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.

Legal entities (1)

* This information is provided to the best of our research ability and we make no warranties for any inaccuracies or omissions.

Lookalike companies

* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0. Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.

Frequently Asked Questions (FAQ)

  • How long has PYMETRICS (NOW HARVER) been operating for?
  • What is the funding status of PYMETRICS (NOW HARVER)?
  • What is the address of PYMETRICS (NOW HARVER)?
  • Where is PYMETRICS (NOW HARVER)'s headquarter?
  • What is PYMETRICS (NOW HARVER)'s contact number?
  • Which countries does PYMETRICS (NOW HARVER) operate in?
  • What PYMETRICS (NOW HARVER)'s spending power?
  • Does PYMETRICS (NOW HARVER) have a presence in the domain it operates in?
* This profile contains information from ACRA Information on Corporate Entities from Accounting and Corporate Regulatory Authority which is made available under the terms of the Singapore Open Data Licence version 1.0.

Information and datasets on our website are provided on an “as is” and “as available” basis. This website makes no representations or warranties concerning the datasets, including but not limited to any representation or warranty as to the accuracy, completeness, reliability, continued availability, timeliness, non-infringement, title, quality, or fitness for any particular purpose of the datasets to the fullest extent permitted by the law.