RIGEL
Skills-first hiring engine

Stop hiring by keywords. Start hiring by real skills.

Rigel scores candidates against what actually matters, transparently. You see exactly why each person ranked where they did.

Transparent scoring/No keyword filters/Both sides see the math
Candidate field · Senior Data Engineer
EXPERIENCE →↑ SKILL DEPTHS. Chen · 92%ML Engineer
4 matchedRanked candidates →
Ranked candidates

Every match shows exactly how it was calculated.

Every bar traces to specific CV data and job requirements.

RankCandidateScore
01
SC
S. Chen
ML Engineer
92%
02
AK
A. Kumar
Data Scientist
84%
03
MT
M. Torres
Backend Eng
73%
04
JO
J. Okafor
Full Stack Dev
61%
The Problem

Hiring is broken for everyone.

Keyword-based hiring creates a cycle where nobody wins.

01
Recruiters

Drowning in noise.

Strong candidates hidden
No clear ranking logic

02
Candidates

Qualified, filtered out.

Rewrite CVs for every job
No feedback or visibility

03
The result

A cycle where everyone loses.

Time wasted on both sides
Bias fills the gap

This cycle repeats on every job.Rigel breaks this cycle. →
How Rigel Works

Simple hiring, end to end.

Whether you're hiring or applying, Rigel makes the process transparent.

Recruiter view
Hiring with Rigel, end to end
Product walkthrough
1:24
Why Rigel

Every match shows exactly how it was calculated.

84%
Skills88%
Experience75%
Education90%
Every bar traces to specific CV data and job requirements.
WITH RIGEL
Full scoring breakdown: weights, inputs, and results.
THE OLD WAY
Black-box "AI match %" with no explanation.
“Hiring should be decided by what you can do, not by how well you game a system.”
FRANCESCA SCIPIONI · FOUNDER

See exactly how Rigel works.

Take the deep tour from your side of the table.