Every interview creates value
The questions, answers, context, and effort invested in a conversation should remain useful after it ends.

About AI Interview Analyzer
Filip Nizioł
Founder and CEO, AI Interview Analyzer
Filip Nizioł is a Polish entrepreneur and programmer who builds cloud and big data solutions. He is also a former U21 world champion in contract bridge.
Long-term vision
A candidate who is not hired can still demonstrate real strengths in an interview: SQL, system design, stakeholder communication, leadership, or something else. Today, that signal usually disappears with the rejection.
Our long-term vision is a Candidate Passport that turns strengths demonstrated in real interviews into endorsements. Interviewers can share them with candidates. Candidates can collect them, control them, and choose what to share in future hiring processes.
Over time, those candidate-controlled records can form a global map of verified skills based on real conversations, not just self-declared keywords. The ambition is to make every interview add lasting value to a person's professional story.
01
Demonstrated in a real interview
A candidate shows a concrete skill while answering questions and solving problems.
02
Confirmed by the interviewer
The recruiter or interviewer returns demonstrated strengths as an endorsement.
03
Controlled by the candidate
The candidate keeps the record and decides what to share in future processes.
Who we are
AI Interview Analyzer is built by a European team working across product, engineering, operations, international business development, sales, and design. We are creating a human-led interview intelligence platform for recruiters, hiring teams, and candidates.
Every serious interview contains questions, answers, context, observations, and real effort from both sides. We built AI Interview Analyzer so that value does not disappear into scattered notes, memory, or silence. The platform supports the interview before, during, and after the conversation. It does not make the hiring decision.
One conversation, value for both sides
Every interview should leave something useful behind.
For the hiring team
Structured evidence, clearer comparisons, and faster debriefs with less administration.
For the candidate
Useful feedback, recognized strengths, and practical next steps after the interview.
What we believe
The questions, answers, context, and effort invested in a conversation should remain useful after it ends.
Hiring teams need reviewable evidence. Candidates deserve useful feedback and clearer next steps.
AI helps people remember, organize, and compare. It does not decide who should be hired.
Consent, configurable retention, EU hosting, transparent evidence, and accountable support are product requirements.
Explore the complete workflow or talk directly to the people building it.