Ezra, a San Francisco, CA–based voice AI interviewing platform, has raised $3.2 million in Seed funding.
Investors
The round was co-led by Penny Jar Capital and LMNT Ventures, with participation from a16z Speedrun and Telegraph Hill Capital.
Penny Jar Capital is an early-stage venture capital firm based in the San Francisco Bay Area, primarily focused on Seed and Series A investments. The firm invests across AI, B2B SaaS, and cybersecurity, aiming to back founders who demonstrate a “penny-in-the-jar” mindset of consistent, long-term growth.
LMNT Ventures is an early-stage venture capital firm founded in 2022 that invests in deep tech startups combining software and physical systems. It focuses on areas such as robotics, AI-driven automation, climate technology, and industrial innovation—backing companies that improve real-world infrastructure, reduce emissions, and modernize industries. Based in Bend, Oregon, LMNT supports pre-Seed to Series A startups building scalable solutions for the future of industry.
Ezra Use of Funds
The company will use the funding to develop its voice AI interviewing platform further and support its adoption by recruiting teams.
About Ezra
Founded by Ophir Samson, Ezra is a voice AI interviewing platform that helps recruiting teams identify qualified candidates through structured voice conversations. The platform integrates with existing ATS systems to automate initial screening. It includes features such as structured scoring, cheat detection, and ATS integration. Headquartered in San Francisco, California, Ezra focuses on making hiring faster, fairer, and more structured.
Funding Details
Company: Ezra AI Labs, Inc.
Raised: $3.2M
Round: Seed
Funding Date: March 2026
Lead Investors: Penny Jar Capital and LMNT Ventures
Additional Investors: a16z Speedrun and Telegraph Hill Capital
Company Website: https://www.ezrarecruiting.com/
Software Category: HR Tech / Voice AI
Source: https://www.globenewswire.com/news-release/2026/03/18/3258429/0/en/Ezra-Raises-3-2M-Seed-Round-to-Rebuild-Hiring-Around-Voice-Conversations.html