Candidate intelligence

Hire for the role,
not the resume

Score candidates against team dynamics, failure patterns, and hiring history. One candidate pool, every open position, measurable accuracy over time.

Start free

Define the real brief

Go beyond job descriptions. Capture why the role is open, what went wrong before, and pre-mortem risks. The AI uses all of it.

Score across all roles

Upload CVs once. Every candidate is evaluated against every open role with decomposed scoring: skills, culture, risk, growth.

Improve with every hire

The model calibrates to your outcomes. Feedback, pipeline decisions, and post-hire reviews feed into scoring accuracy.

~40%

of successful placements were cross-matched to a role the candidate did not originally apply for.

Sub-scores per match

0-100%

AI confidence tracking

6 types

Learning data points

Pipeline stages

New

Import historical recruitment data

Load past CVs, screening notes, hiring manager opinions, and outcomes. The model calibrates from your history before you score the first new candidate.

Learn more

Hire for the role,not the resume

Define the real brief

Score across all roles

Improve with every hire

Import historical recruitment data

Hire for the role,
not the resume