AI, Trust, and the Future of High-Volume Hiring: A Conversation with Humanly CEO Prem Kumar

Key Takeaways

• Humanly secured $25 million Series B to expand product and team.
• Shifts from SaaS to ‘service as software’ delivering qualified pipelines.
• AI ensures 100% of applicants receive two‑way screening interviews.
• Only 27% of TA leaders trust AI, prompting transparency focus.
• Humanly trains models on 300k+ interviews to reduce bias.

Pulse Analysis

The recruiting technology landscape is being reshaped by generative AI, and Humanly’s recent $25 million Series B round underscores the momentum. Valued at roughly $14 billion, the broader recruiting‑tech market pales beside the $500 billion staffing and RPO sector, a gap Humanly aims to bridge. By injecting capital, the six‑year‑old startup plans to double its engineering headcount, accelerate product development, and deepen its data moat. Investors see the combination of AI‑driven automation and a service‑oriented model as a scalable answer to the chronic inefficiencies of high‑volume hiring.

Humanly coins the phrase ‘service as software,’ moving beyond traditional SaaS tools that merely provide a digital kit. Its ‘pipeline as a service’ model supplies a continuous flow of Qualified, Interested, and Available (QIA) candidates, turning the recruitment funnel into an outcome‑focused offering. In practice, the platform tackles a stark statistic: about 95 % of applicants attracted through recruitment marketing are never heard from because hiring teams can review only a fraction of resumes. Conversational AI guarantees every candidate a two‑way screening interview, converting the silent ‘resume black hole’ into actionable data.

Despite enthusiasm, a trust gap hampers AI adoption—90 % of talent‑acquisition leaders want AI, yet only 27 % trust it. Humanly addresses this by publishing third‑party audits, providing immediate value such as resume coaching, and allowing deep collaborative customization of workflow and tone. Its bias‑reduction strategy draws on hundreds of thousands of human‑to‑human interview recordings to flag systemic disparities, like reduced speaking time for junior women. Looking ahead, Prem Kumar envisions an ecosystem where jobs proactively match to candidates, eliminating the need for repetitive applications and redefining the future of work.