Rexi
ScoutRex Assistant
HireRex and JobRex share the same underlying match engine. HireRex serves companies; JobRex supports job seekers, including public-employment and career-guidance use cases.
Auto-generated, role-specific tests help score candidates on what they can actually do. Less CV guesswork, with recruiters keeping the final decision.
AI helps match your team's availability with candidate slots, prepares invitations, and keeps confirmations visible before critical actions are sent.
Notes, outreach campaigns, messaging, document collection, and team collaboration, all logged to each candidate's profile.
See every candidate, every score, and every stage in real time. Structured scorecards and side-by-side comparisons make every hire a confident one.
HireRex sits between your ATS shortlist and your interview room. AI-generated skill tests, assisted scheduling, built-in CRM, and pipeline analytics help teams evaluate candidates without relying on CV polish alone.
JobRex builds a living profile beyond the CV and can guide job seekers through matching, applications, interview preparation, and skill-gap feedback. It is designed for individuals and for employment-support partners.
Beyond the CV: your skills, interests, working style, and career goals build a multi-dimensional picture of who you are.
AI that reads between the lines. We match you on trajectory, culture fit, and growth potential, not just job titles.
Complete AI-generated skill tests tied to real job requirements. Show employers what you can do, not just what you've listed.
AI helps coordinate availability, reminders, and interview slots while keeping important confirmations clear for users.
JobRex structures the candidate side. HireRex structures the company side. The shared engine connects profiles, assessments, scores, explanations, and workflow status so humans can make better final decisions.
Candidates apply and complete skill assessments on JobRex
HireRex AI scores and ranks applicants by real demonstrated ability
Hiring teams interview only verified top candidates, then confirm the hire
ScoutRex is built on established methods for job-related aptitude, designed to validate scoring against real-world outcomes rather than keywords.
Assessments are designed around DIN 33430, the German standard for job-related aptitude diagnostics: objectivity, reliability, validity and fairness by design.
A causal-inference layer is built to connect pre-hire signals with post-hire performance, so the engine learns which signals actually predict success.
Methodology is developed in close connection with the Institute of Labour Economics at Leibniz University Hannover, with academic mentorship from Prof. Dr. Patrick Puhani.