We use AI to make high-quality interview practice available to everyone. Here's exactly what it does — and what it does not do.
You provide a CV and a job description. Missiora builds a role-aware interview from a structured library of sectors, roles and competencies, then conducts a realistic voice interview tailored to the target role, seniority and interview type.
The AI asks questions, listens to spoken answers, and adapts follow-ups — the same way a real interviewer probes for detail.
After the interview, a simulated hiring committee reviews the full transcript and produces structured, role-specific feedback across the assessment dimensions behind the Career Readiness Score — with clear reasons, strengths, weaknesses and how to improve.
Generates role-relevant questions, conducts voice interviews, transcribes answers, and produces structured, explainable feedback and scores.
It does not make hiring decisions, does not replace tutors or careers advisers, and is not used to reject candidates. It supports human judgement.
Scores are practice signals to guide improvement — they are not a pass/fail gate or a substitute for real assessment.
Tutors, careers teams and learners stay in control. Missiora informs decisions; people make them.
AI can make mistakes. We design for transparency and improvement, and we recommend AI feedback is used alongside human guidance — never as the sole basis for a decision about a person.
We're happy to talk through exactly how it works for your learners.