Mox, your AI interviewer, holds a structured conversation with you across the same arc a real interviewer would follow. You speak your answers out loud, Mox listens and responds in real time, and at the end you get an honest report on how you did.
Real interviews aren't random. They follow a deliberate arc, and so does Mox. Every session moves through the same five phases, in the same order:
Add either or both before the interview kicks off:
Both feed into the same final report alongside the interview itself.
Sign in, pick a role, and you're in your first interview in under a minute.
Real placements aren't one conversation. They're an aptitude test, a coding round, a group discussion, and only then a face-to-face. Moxaim runs all of them, end to end, and scores every one.
The core round. CV-tailored questions across 5 phases, spoken aloud by a voice avatar that adapts difficulty to how you answer.
Timed at one minute per question, auto-scored the moment you submit. Aptitude, core CS fundamentals, and questions specific to your domain.
A real DSA problem in Python, JavaScript, Java, or C++. Your solution runs against hidden test cases and is graded server-side, with no self-marking.
Speak against Priya and Arjun, two AI participants with their own voices and opinions who interrupt, agree, and push back. Scored on how you hold the floor.
A business case or a guesstimate, worked live with an interviewer who sees your scratchpad. Structure, assumptions, and arithmetic all count.
Design a system in a back-and-forth discussion. Requirements, scale estimates, data model, bottlenecks, all probed the way a senior engineer would.
A Google SDE never faces a group discussion. A BCG consultant never writes code. Moxaim reads your role and company and builds the loop that company actually runs. You can always override it.
Real interviews aren't random. They follow a deliberate arc. Mox mirrors that arc exactly, so your practice feels like the real thing, not a quiz.