Humanly Raises $12 Million in Series A

by Kay Aloha Villamor in June 20th, 2023

Humanly, a Seattle, Washington-based startup that helps companies automate their recruiting functions, raised $12 million in Series A funding to help fuel the growth of its AI-powered software.

The round was led by Drive Capital, with participation from previous investors Zeal Capital Partners, Spark Growth Ventures, and the Basecamp fund. 

The company's total funding is nearly $18 million, the fresh funding will also be used to grow the company’s engineering and go-to-market teams.

The company is investing heavily in its short message service (SMS) chatbots that interact with job candidates, part of a broader rollout of new generative AI tools that help companies hire more efficiently, said co-founder and CEO Prem Kumar.

Humanly's chatbot is trained on over three years of the company's hiring data, enabling it to provide specific responses to job candidates' questions. The company is also introducing AI analytics features for human-to-human conversations, generating insights, and sending follow-up emails during live calls.

Customers such as Microsoft, the Seattle Storm, and Moss Adams utilize Humanly's platform to streamline various aspects of the hiring process, including candidate screening, interview scheduling, initial communication automation, and reference checks.

Company: Humanly HR Inc.

Raised: $12.0M

Round: Series A

Funding Month: June 2023

Lead Investors: Drive Capital

Additional Investors: Zeal Capital Partners, Spark Growth Ventures, and Basecamp fund

Company Website:

Software Category: Recruiting & HR Chat Automation

About the Company: Humanly automates candidate screening, scheduling, and engagement for companies with high applicant volume. The company’s conversational AI bridges automated interactions, voice technology, and integrated systems. And through innovation, commitment, and fairness, guides hiring teams, candidates, and employees to achieve their success, ultimately hiring the most qualified, diverse applicant pool.


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