AI Mock Interviews for Every Round

Sage and Zenith are Cynchrony's next-gen AI interviewers - not chatbots, but fully embodied interviewers powered by multi-LLM orchestration and market-aware RAG models. They don't simulate interviews; they conduct them like real humans would, with the ability to ask, observe, challenge, and evaluate in real-time with unpredictable, adaptive questioning.

Sage is calm and conversational, ideal for behavioral interviews and early career prep - think empathy meets insight. Zenith is intense and technical, perfect for role-specific deep dives and mid-to-senior level readiness - think panel-level simulation. Together, they form a dual-engine system: Sage builds confidence while Zenith tests readiness.

They evaluate what you say and how you say it: the content and structure of your answers, clarity, pace and confidence. On video interviews, the recording can also be reviewed for presence and body language. Questions adapt to your answers as you go.

They offer multiple modular interview modes including Technical Deep Dive, Behavioral Fit assessment, Domain Simulation, Case-Based Scenarios, and Rapid Fire/Stress Testing. Each session can be conducted through audio + video interviews and can dynamically shift between technical, behavioral, and domain-based questions as needed.

Yes, on paid plans a mock interview can be a coding interview, where the interviewer asks coding questions and follow-ups. To practise solving a problem with AI, try an AI-assisted coding round instead: you plan the approach, the AI writes code from your plan, and you review and fix it. AI-assisted coding is free on every plan.

You choose the role, interview type and focus areas, and you can add a target company, a job description and your CV, so the questions follow your projects and the job you're preparing for. To see the rounds a company's process usually includes, start from its guide in the Job Prep Library.

The system features real-time adaptation - if you miss a concept, they pivot; if you deliver a great answer, expect a curveball. This isn't a fixed script but a reactive flow powered by LLM orchestration where multiple language models work together for question generation, contextual switching, and dynamic follow-ups.

You get a feedback report after every session: how each answer landed, skill readiness ratings, clarity and confidence, and suggested improvements, so you know what to fix before the next round.

Practise the HR and managerial rounds here, then practise the conversation itself in Role Play: a sales call, an upset customer or a negotiation with an AI persona, with a scored report at the end.

They listen to how you say things as well as what you say: pace, pauses and confidence. On video interviews the recording can also be reviewed for presence and body language, the things a human panel notices but rarely tells you.