Ezra Raises $3.2 Million to Scale Voice-AI Screening as Resume-Based Hiring Breaks Down

New updates have been reported about Ezra.

Ezra, a voice-based AI interviewing platform for recruiters, has secured a $3.2 million seed round co-led by Penny Jar Capital and LMNT Ventures, with participation from a16z Speedrun and Telegraph Hill Capital, to accelerate deployment of its automated candidate screening technology. The capital will be used to expand product capabilities, strengthen integrations with applicant tracking systems, and support go-to-market efforts as application volumes surge and traditional resume screening becomes less effective.

Founded by CEO Ophir Samson, a second-time voice-AI founder with a PhD in applied mathematics and prior leadership roles at Uber and Aurora, Ezra conducts structured voice interviews with every applicant, generating comparable, role-specific data at scale while automating early-stage screening. Early enterprise customers report up to 75% time savings and the ability to interview six times as many qualified candidates versus legacy processes, suggesting meaningful productivity gains and cost efficiencies for large recruiting teams. Ezra’s platform adds features such as structured scoring, cheat detection, and ATS integration to address growing concerns around AI-generated resumes and fake identities, positioning the company as infrastructure for “post-AI” hiring where human signal, not document polish, is the core decision driver.