Write who you need the way you would tell a colleague. Emoti reads it into criteria, checks every profile against each one, and shows its evidence.
Emoti read 6 criteria. Tap one to switch it between must-have and nice-to-have.
At Northstar Search: trains and ships demand-forecasting models. Meets 5 of 6 criteria. Partly meets Time-series forecasting.
Title, level, place, the experience that matters and the skills you would accept instead. Paste a job description if you have one.
Each requirement becomes a criterion you can see and edit, marked as a must-have or a nice-to-have.
Each check comes back met, partly met, missing or unknown, with the line of the profile it is based on.
Must-haves count double, and missing one caps the score at 54 out of 100, so near-misses stay out of the strong-fit range. Shortlist, pass, or find people like the best match.

Switch any criterion between must-have and nice-to-have, add one Emoti missed, or remove one you do not care about.
Shortlist or pass on each person, then ask for the next batch.
Emails and phone numbers stay hidden until you choose to reveal them for a shortlisted person.
In the demo workspace they come from a fictional sample pool so you can try every feature. In a live workspace Emoti searches the sources your team connects.
Because it misses a must-have. A missing must-have caps the score at 54 and a partly met one at 74, whatever else the profile matches. If the criterion can bend, switch it to nice-to-have.
The profile does not say either way. Unknown counts for a quarter of a met criterion, which keeps quiet profiles in the running without pretending they match.


