Generic transcription tools like Zoom AI, Granola, and Otter were built to capture notes. Lavalier goes beyond note-taking with AI-powered interview questions, summaries, and transcription that improve your ability to assess candidates—so you actually make better hires.
Disorganized, messy interviews turn away top talent.
Lavalier helps you define the role and skills that matter, then automatically builds interview plans with tailored questions and assignments for every interviewer. No guesswork. No misalignment. Just a process designed to find the right person from the start.
Get the right evidence from every interview.
Even with a great plan, interviews go sideways. People evaluate personality instead of skills, go off on tangents, or spend the whole conversation taking notes instead of listening.
Lavalier keeps every interviewer focused with AI-powered questions and notetaking—so they can stay present with the candidate and run a conversation that actually surfaces the right data.
Make a confident call before your top candidate moves on.
Debriefs drag when everyone's working from manual notes and memories.
Lavalier synthesizes interview evidence into clear candidate summaries you can compare. Your team aligns fast, decisions are easy to defend, and you get to an offer before the best person takes another one.
Use interview data to find your best teammates.
Lavalier makes running rigorous interviews easy, then captures the right signals to help you clearly see your top candidate.
“Lavalier works in the background to catch all the things—supporting companies to make the right hires with way less administrative overhead."
Aileen Lee
Founder of Cowboy Ventures and Textio Board Member
Quality of hire
Raise the bar on your interview process and keep increasing your talent density. Lavalier is the AI built to help you quickly and confidently assess candidates.
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Candidate Experience
Compete for top-tier talent with a thoughtful interview process, and give each candidate a chance to show you what they bring to the table.
