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Pymetrics

eCommerce & Marketplaces · New York City, United States · Founded 2011

Uses cognitive data and AI to help global clients make their hiring MoreLess

Pymetrics operates as a talent-matching platform that leverages behavioral data and audited artificial intelligence to assist organizations in making more equitable and accurate workforce decisions. The company was founded in 2012 by Dr. Frida Polli and Julie Yoo. Polli, a neuroscientist trained at Harvard and MIT, transitioned from a decade in academia to entrepreneurship after attending Harvard Business School. Her 'a-ha' moment came from observing the inefficiencies and biases in traditional recruiting processes, realizing that the neuroscience research she conducted could be applied to better match individuals with suitable careers, much like recommendation engines for movies or music.

The firm's core offering consists of a series of 12 online games designed to assess 91 cognitive, social, and emotional traits across nine categories, including attention, decision-making, effort, and risk tolerance. Instead of self-report questionnaires, the platform analyzes a candidate's behavior during these gamified assessments to build an objective profile. This data-driven methodology aims to mitigate unconscious biases related to a candidate's background, gender, or race in the hiring process. The platform serves a range of global enterprise clients, including prominent names like Unilever, Accenture, and Boston Consulting Group (BCG), helping them identify and develop talent.

Pymetrics' business model targets corporate clients, offering solutions that span the entire talent lifecycle, from recruiting and hiring to internal mobility and reskilling. By creating custom job profiles based on the traits of a company's top performers, the platform can objectively evaluate candidates' potential for success in a specific role. This service helps clients reduce time-to-hire, lower recruiting costs, and increase workforce diversity. In August 2022, Pymetrics was acquired by Harver, a hiring solutions provider. The acquisition combined Harver's existing assessments with Pymetrics' behavioral AI, aiming to offer a more comprehensive set of tools for talent decisions.

Keywords: talent assessment, behavioral science, AI recruiting, neuroscience games, unbiased hiring, workforce analytics, soft skills platform, talent lifecycle management, predictive hiring, HR technology

Company overview

Pymetrics company information

The essential company record, classifications and operating signals in one place.

Status
Acquired
Founded
2011
Headquarters
New York City, United States
Employees
19
Open positions
None listed
Dealroom signal
64.0
sectorIntelligent SystemssectorHuman Resourcesbusiness modelMarketplace & ecommercesectorAnalyticssectorPredictive AnalyticssectorStaffingsectorCore AIsectorB2b Online MarketplacesectorHard TechsectorAI ApplicationsindustryJobs RecruitmentsectorCareerclient focusb2btechnologyArtificial Intelligence

Valuation & funding

Pymetrics funding history

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
ACQUISITIONOther financing Aug 2022 $0 Harver
LATE VCOther financing Sep 2021 $0 Randstad Innovation Fund · Khosla Ventures · Workday Ventures · Gaingels
SERIES BOther financing Sep 2018 $40M $160M Andy Palmer · Workday Ventures · General Atlantic · Khosla Ventures
SERIES AOther financing Sep 2017 $8M $32M Jeff Hammerbacher · Workday Ventures · JAZZ Venture Partners · Andy Palmer
GRANTOther financing Apr 2017 $150K Zero Gap Fund
GROWTH EQUITY VCOther financing Dec 2016 Andy Palmer
SERIES AOther financing Aug 2016 Andy Palmer · Workday Ventures · JAZZ Venture Partners · Jeff Hammerbacher
EARLY VCOther financing May 2016 Randstad Innovation Fund
SEEDOther financing Sep 2013 Khosla Ventures · MassChallenge · Jeff Hammerbacher · Andy Palmer
Showing 9 recorded eventsUnlock the complete deal history →

Growth signals

Pymetrics website traffic

Latest recorded traffic for Pymetrics is 1.3K monthly website visits, up 584.2% over the last three months. Pymetrics's team declined 69.8% over the past year.

Latest monthly visits1.3K 3-month web change+584.2% 1-year team growth-69.8%
Monthly website visits117 observations · Apr 2016–Jul 2026
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Comparisons

Pymetrics compared with similar companies

Dealroom’s weighted taxonomy model identifies the closest operating peers. Company identity and context stay open; selected comparison metrics preview what is available in the platform.

Showing 8 of the closest matchesCompare every metric →

Talent graph

Pymetrics's talent

Book a demo to see the people
Team profiled 27 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 1 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Investors

14 investors on Pymetrics's cap table

Sourced from Dealroom's funding and investor records. Investor profile links are shown where available.

Seed 6 investors entered at this stage
Khosla Ventures
MassChallenge
Jeff Hammerbacher
Andy Palmer
Bob Pittman
Zero Gap Fund
Series A 5 investors entered at this stage
Randstad Innovation Fund
Workday Ventures
JAZZ Venture Partners
BBG Ventures
General Atlantic
Series B+ 2 investors entered at this stage
Gaingels
ETS Strategic Capital
Other known 1 additional known investor
Harver

Global footprint

Where Pymetrics has talent and traffic

Workforce by country
5 countries with
team presence
🇺🇸 United States55.6%
🇳🇬 Nigeria11.1%
🇸🇬 Singapore11.1%
🇬🇧 United Kingdom11.1%
🇺🇬 Uganda11.1%
5 countries shown

In the news

Latest news about Pymetrics

Recent press, funding announcements, and product moves mentioning Pymetrics — open to read from the original sources.

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Market sentiment

What the market is saying about Pymetrics

An AI-synthesized read of the highest-engagement posts about Pymetrics on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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