Your best applicant shouldn't be the hardest to find

Inbound volume has grown faster than most TA teams’ ability to review it. The result is a familiar problem: the best applicant in a pile of 400 gets buried under the ones who applied first, applied most recently, or whose resume happened to use the right keywords for a filter someone set up two years ago.
Findem’s inbound review capability applies the same data model used for outbound sourcing to the inbound pile. Instead of filtering on surface-level resume text, it scores applicants against the actual requirements of the role and surfaces the strongest matches regardless of where they landed in the queue.
The practical effect: recruiters spend time on the candidates most likely to be right, not the ones who happened to make it through a keyword filter. That’s a different value proposition than most inbound tools, which optimize for volume reduction rather than signal quality.
If you want to talk through how this fits your workflow, reach out here.





