Multi-Modal Eval
Combines code, voice, and resume data.
One outcome, one evidence trail
Rank a whole pipeline on one readiness score. Code, resume and interview evidence roll into a single number out of 100, and a person makes the final call.

How the work moves
Invite Candidates
Send bulk invites via email.
AI Assessment
Candidates complete the AI interview.
View Scores
See who passed the benchmark.
Hire
Move top picks to final rounds.
Built around the operating problem
01Hiring teams use shortlisting to rank a finished round on evidence rather than resume keywords.
02Staffing teams use it to build a client-ready shortlist with the score, recording, and transcript attached.
03Recruiters use it to decide who moves, who gets a second look, and who a person rejects.
Core capabilities
Combines code, voice, and resume data.
One single score to rule them all.
An AI interview round runs whenever the candidate opens the link, so there is no calendar to coordinate.
Greenhouse is live in early access, or run Expert Hire as your own ATS.
What comes back
Every recommendation stays connected to the source signal, scoring context, and next action. The platform does the repeatable work while a person keeps the decision.
Fits the full hiring stack
Practical proof points
90%
Decrease in Screening Time
Your cutoff
Shortlist Threshold
100%
Consistent Scoring
Common questions
Yes, we support major ATS integrations like Greenhouse and Slack.
Works with the tools your team already uses
Run one round on ten real candidates during the trial and review what comes back.
Nothing charged for 30 days