Zivaro’s AI agents run contextual technical interviews around the clock, ask intelligent follow-ups, and deliver evidence your engineering team can trust.
Stop pulling senior engineers away from sprint work to run repetitive first-round interviews.
Templates reflect the nuance of your stack—from REST vs. GraphQL trade-offs to Kubernetes rollout safety checks.
Audio clips, transcripts, and reasoning give confidence that recommendations are grounded in what the candidate said.
We capture the knowledge of your staff engineers and scale it through audio-native agents.
Enough time for candidates to explain trade-offs without slowing down the funnel.
Prebuilt coverage for roles from junior frontend to senior ML engineer, customizable in minutes.
Engineers see how certain the agent is about each rating to decide when to dig deeper in live loops.
Define the technologies, depth, and evaluation criteria for each role. Include links to architecture diagrams or code samples if needed.
Invite candidates directly or let them self-serve time slots. Zivaro adapts the conversation based on the path they choose.
Engineering managers receive summaries with supporting audio clips, missteps, and suggested focus areas for onsite rounds.
Move qualified candidates forward immediately and provide coached feedback to those who aren’t ready yet.
Zivaro handles more than simple trivia. The agents are trained to ask why, how, and what-if questions.
We will configure a role from your stack and walk through the candidate and reviewer views side by side.
Response in under one business day · Typical onboarding time: 48 hours.
Choose a 30-minute slot that fits your schedule. We'll tailor the conversation based on your hiring goals and show you the workflows that matter most to your team.
