Datapeople

Datapeople, founded in 2015 by Amit Bhatia, Phillip Reyland, and Dr. Maryam Jahanshahi, operates a SaaS platform designed to enhance the predictability and effectiveness of talent acquisition. The company, originally named TapRecruit, was established with the goal of making the recruiting experience more human for candidates and more effective for hiring teams. Co-founder and CEO Amit Bhatia, with a diverse background as a neural net engineer and an investment banker at Morgan Stanley, identified the need for a data-centric approach in the recruiting space. The founding team bootstrapped the company for several years, initially building a job search engine to understand the nuances of how candidates search for jobs and how companies present them.

The firm's core offering is an AI-powered platform that assists hiring teams in creating inclusive, compliant, and high-performing job descriptions. By analyzing data from millions of job postings and hiring outcomes, the software provides real-time guidance and identifies eight forms of bias to help companies attract a more diverse and qualified candidate pool. The platform translates raw applicant tracking system (ATS) data into clear reports, offering insights into the candidate pipeline and overall recruiting performance. This allows talent acquisition teams to move beyond gut feelings and ground their decisions in data. Datapeople serves a global clientele across various industries in 80 countries, including companies like DoorDash, Conagra Brands, and Givaudan. Revenue is generated through a SaaS model, and the platform integrates with major ATSs such as Workday, Greenhouse, and SmartRecruiters.

The company has secured over $21 million in funding across two rounds. An initial $8 million was raised in April 2021, followed by an oversubscribed $13 million Series A round in June 2023, co-led by GreatPoint Ventures and New Markets Venture Partners. These funds are allocated to scaling its go-to-market functions and developing new products, such as the 'Datapeople Anywhere' browser extension. This tool works with any ATS to ensure job descriptions are optimized before being posted. Clients using the platform have reported significant improvements, including attracting more qualified female candidates and reducing the time needed to fill roles.

Keywords: recruiting intelligence, talent acquisition platform, job description optimization, hiring analytics, inclusive hiring, recruitment analytics, diversity in recruiting, recruiting software, talent pipeline management, ATS integration, AI in recruiting, data-driven hiring, compliance in hiring, candidate attraction, hiring process efficiency, employer branding, talent analytics, recruitment data, job ad performance, fair hiring practices, recruiting predictability