Datapeople, a SaaS recruiting predictability platform, has recently raised $13 million in its Series A round led by GreatPoint Ventures and New Markets Venture Partners, with the participation of existing investors including First Round Capital, NextView Ventures and Uncork Capital as well as operator syndicates Gaingels and FOG Ventures.

Founded in 2015, Datapeople offers recruiting predictability and control using a combination of natural language processing, data science, responsible AI, and behavioural science. With accessible metrics and actionable insights, hiring teams can ground their recruiting decisions in science and fairness. The platform brings data-backed objectivity, efficiency and predictability to talent acquisition, beginning with optimized job descriptions and following with reporting and analytics on recruiting processes and performance. The firm claims that since 2022, more than 10,000 users have edited 170,000 jobs in the Datapeople platform.

The New York-based startup will use the funds to scale its go-to-market function and increase the delivery of new features and products. Speaking about the company, Co-founder & CEO of Datapeople, Amit Bhatia, said:

Talent acquisition is facing multiple challenges today, including uncertain economic times, scrutiny on hiring spend, and labour market tightness, while also being expected to continue to deliver with leaner teams and smaller spend. The control over processes and outcomes that Datapeople provides is essential, as well as our ability to help with meaningful improvements in hiring quality, diversity, speed, and cost.

Commenting on the fundraising, Associate Partner of GreatPoint Ventures, David Resnekov, said:

Hiring teams today are under pressure to efficiently drive and sustain growth with talent, which is exactly where Datapeople is impacting its customers. We invested in Datapeople because they’re solving a major problem by giving recruiting leaders intelligence and control throughout the hiring process, starting with the job description.

Datapeople’s data-informed recommendations are powered by a database of over 65 million job posts and millions of hiring outcomes to examine job posts holistically: both on content (what is said) and language (how it is said). Its bias guidance identifies eight forms of bias, including racism, tokenism, ableism, ageism, sexism, nationalism, religious bias, and elitism. The company’s Job Score helps users understand how their content will likely perform in the local market across various dimensions, including candidate pool volume, quality and diversity.

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