Nowsta, the pioneering technology company dedicated to developing operating systems for gig workforces, has successfully secured a substantial $35m in Series C funding.
This impressive capital boost was led by VMG Partners, with Builders VC also participating, alongside the existing Series B investors. This latest financial milestone brings Nowsta’s total capital raised to a striking $93m.
Nowsta stands at the forefront of the gig economy, providing innovative solutions that redefine how employers find, hire, and manage their contingent workers. Their proprietary technology has garnered attention for its AI-driven capabilities that cater to the nuanced needs of workforce management in today’s fast-paced environment.
The influx of new funds will be instrumental in enhancing Staffing Labs, Nowsta’s newest offering that aims to reshape the staffing industry. The investment will also support further development of their AI-driven workforce management platform and assist in expanding the executive leadership team that propels this technology forward.
This funding round arrives in conjunction with the introduction of Nowsta Staffing Labs, a transformative initiative designed to amalgamate the nation’s largest contingent labor marketplace. By leveraging the Nowsta platform, clients gain unprecedented access to a broad and diverse pool of talented workers, ensuring they can meet their specific staffing requirements with precision and ease.
Nowsta’s latest offering, Staffing Labs, provides agencies with exclusive access to sophisticated automation tools. These tools harness market data and company-specific attributes, enabling seamless connections between agencies and profitable job opportunities. Such innovations set these agencies on the path to leadership in the evolving landscape of flexible and dynamic work arrangements.
Nick Lillios, the CEO of Nowsta, encapsulated the company’s ambitions, stating, “With Staffing Labs, our focus is on enabling new models of flex work for staffing companies.” He envisions Staffing Labs as a catalyst, not just for operational efficiency, but also for business growth within the gig economy, through the power of AI, ML, and automation.
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