The team behind Rubrily
Rubrily is an AI-first applicant tracking system that screens candidates with async AI interviews and AI CV evaluation, scored against custom weighted rubrics and blended into a single Fit Score. It’s built by Phaedra Solutions, an award-winning custom software and AI development company headquartered in Lahore, Pakistan.
Why we built it
We build software and AI products for a living — and we hire for it, which means we’ve lived the problem: hundreds of applicants per role, evenings lost to CV piles, calendars lost to screening calls, and decisions that came down to gut feel because nobody could screen everyone consistently.
The tools didn’t fix it. Keyword ATSs filtered out good people for phrasing. “AI-powered” screeners gave scores nobody could explain — and asked us to reject humans on numbers we couldn’t audit.
So we built the screener we wanted: one that reads candidates against criteria wedefine, explains every score it gives, admits when it can’t judge, and leaves the decision where it belongs — with people.
What we believe
Every score must be explainable.
If the AI can't say why, it shouldn't count. Every number in Rubrily carries a written justification.
No fabricated scores.
"Cannot evaluate" is an honest answer. A guess dressed as a score is not.
Screening should be free.
Great hiring shouldn't be rationed by seat licenses. Companies use Rubrily free — unlimited candidates, interviews, and CV evaluations — and the business sustains itself on optional candidate add-ons, never on your data.
Candidates are users too.
Async interviews in their own language, consent before recording, practice before grading, and erasure on request.