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§ Private Profile · New York City, NY, USA
Pymetrics is a technology company.
Pymetrics delivers game-based behavioral assessments that leverage neuroscience and artificial intelligence to facilitate talent matching. Its core product evaluates candidates' cognitive and emotional attributes through interactive exercises, aiming to uncover soft skills and potential beyond traditional resumes. The platform focuses on providing an engaging, bias-reducing assessment experience that yields thousands of data points for employers.
The company was co-founded in 2012 by neuroscience experts Frida Polli and Julie Yoo, both trained at Harvard and MIT. Their foundational insight was to apply their scientific backgrounds to create a system that could predict job success based on innate behavioral traits, moving beyond conventional hiring methods to foster a more objective evaluation process.
Pymetrics primarily serves global organizations seeking to improve their hiring efficiency and quality across various recruitment needs, from high-volume to professional roles. The company's vision is to bring structure and fairness to talent acquisition at scale, enhancing match quality and reducing bias, while also enabling internal talent mobility and development through data-backed insights into an individual's natural strengths.
Pymetrics has raised $59.5M across 5 funding rounds.
Pymetrics has raised $59.5M in total across 5 funding rounds.
Pymetrics has raised $59.5M across 5 funding rounds. Most recently, it raised $40.0M Series B in September 2018.
Pymetrics is a technology company that builds AI-powered, neuroscience-based gamified assessments to evaluate candidates' cognitive, emotional, and behavioral traits, making hiring more objective, bias-free, and predictive of job success.[1][2][4][6] It serves large enterprises like BCG, Kraft Heinz, McDonald's, JP Morgan, and Morgan Stanley, solving inefficiencies in traditional recruiting—such as subjective biases, low success rates (around 2%), and over-reliance on resumes or networks—by matching talent to roles based on potential rather than pedigree.[1][3][4][5][6] Acquired by Harver (a recruiting software company), Pymetrics has raised about $57M in funding and powers assessments for over 100M candidates, reducing time-to-hire by 59% and enabling diverse, high-performing teams.[1][6]
Pymetrics was founded in 2011 in New York, NY, by Frida Polli, a Harvard Business School alumna with a neuroscience background.[1][3][4] Polli grew frustrated with subjective, inefficient recruiting processes during her own job search and studies, where resumes failed to capture true potential and success rates hovered at 2%.[1][4] Inspired by Netflix and Spotify's behavioral matching algorithms, she applied similar data-driven principles—using games to analyze soft skills like attention, decision-making, risk tolerance, and generosity—to HR, drawing from academically validated neuroscience experiments.[1][4][5] Early traction came from clients like BCG and McDonald's, building on three pillars: better data distribution, rigorously tested unbiased algorithms, and independent audits; the company was later acquired by Harver, integrating into a broader talent platform.[1][6]
Pymetrics rides the wave of AI-driven HR tech and skills-based hiring, addressing a $200B+ global recruiting market strained by talent shortages, diversity mandates, and bias scrutiny amid remote/hybrid work.[2][3][6] Timing is ideal post-2020, as firms prioritize soft skills like adaptability over degrees amid economic shifts, with market forces like DEI regulations and 59% time-to-hire reductions favoring scalable, fair tools.[1][6] It influences the ecosystem by powering assessments for top employers (e.g., BCG, JP Morgan), normalizing behavioral AI in talent acquisition, and enabling workforce transformation—shifting from network-based to potential-based matching, much like recommendation engines disrupted media.[1][3][4][5]
Pymetrics, now embedded in Harver, is poised to dominate gamified assessments as AI talent matching evolves with generative AI for hyper-personalized career paths and predictive retention.[6] Trends like lifelong learning, internal mobility, and global skills gaps will amplify its role, potentially expanding to full talent OS with real-time upskilling insights. Its influence may grow by standardizing bias-free hiring, unlocking diverse potential at scale and redefining how companies "unleash true potential today and tomorrow."[1][3]
Pymetrics has raised $59.5M in total across 5 funding rounds.
Pymetrics's investors include General Atlantic, Battery Ventures, Bessemer Venture Partners, Bling Capital, First Round Capital, Insight Partners, Jazz Venture Partners, KHOCEL INVEST, Khosla Ventures, Lead Edge Capital, Qiming Venture Partners, Tiger Global Management.