A talent intelligence platform that turns your evaluation data into reusable insight: evidence-backed fit scores, fair candidate comparison, and hiring memory that compounds across roles.
Talent intelligence is often sold as a sourcing supercharger: market data, talent pools, and predictions about where to find people. That has its place, but it answers a question most teams have already mostly solved. The harder, more valuable intelligence is about the talent in front of you: how good a fit they are, how they compare, and what you learned about them that you can reuse.
Lehire is a talent intelligence platform focused on that decision-side intelligence. It evaluates candidates against role rubrics, produces evidence-backed 0 to 100 fit scores, ranks them, and remembers them. The intelligence is not "here are more candidates"; it is "here is what you know about these candidates, made comparable and reusable."
Lehire is explicit about its lane. It is not an ATS, not a candidate database, and not a sourcing engine. It is the intelligence layer that makes the candidates you have legible, so the decision rests on insight rather than impression.
What is What is a talent intelligence platform??
A talent intelligence platform applies data and analysis to talent decisions. Some focus on external market and sourcing intelligence; others, like Lehire, focus on decision intelligence: turning evaluation data into comparable fit scores, structured candidate comparison, and reusable insight across roles. The aim is to make talent decisions evidence-based, consistent, and cumulative rather than one-off and impression-driven.
Two kinds of talent intelligence
It is worth separating the two things "talent intelligence" can mean. The first is external: labor-market data, compensation benchmarks, and sourcing signals about where talent lives. The second is internal and decision-focused: how well the candidates you are evaluating fit, how they stack up against each other, and what you can carry forward.
Lehire is firmly in the second camp. External intelligence helps you fill the funnel; decision intelligence helps you choose well from it. Both matter, but choosing well is where most hires are actually won or lost, and it is the part most platforms underserve.
Intelligence from evidence, not guesswork
The intelligence in Lehire is grounded in evidence you can inspect. Every candidate's 0 to 100 fit score is built from rubric criteria, interview scorecards, AI Interviewer results, and resume signal. The platform is not predicting from thin air; it is structuring the real evidence your process generates into something comparable.
That grounding is what makes the intelligence trustworthy. Predictions you cannot trace are easy to dismiss and dangerous to act on. Evidence-backed intelligence invites scrutiny and survives it, which is exactly what a high-stakes talent decision requires.
Hiring memory: intelligence that compounds
The most distinctive piece of Lehire's talent intelligence is hiring memory. Every candidate you evaluate is retained as structured, scored evidence, so when a new role opens you can re-rank past candidates against it without re-uploading or re-interviewing. The strong runner-up from last quarter is not lost; they are a scored asset you can reconsider in minutes.
This is where talent intelligence becomes cumulative. Each evaluation makes the next decision faster and better informed, because your accumulated, scored candidate knowledge is sitting right there, ready to be applied to whatever you are hiring for next. Intelligence that resets every role is not intelligence; it is just record-keeping.
Comparison, ranking, and talent search
Day to day, the intelligence shows up as comparison and ranking. Lehire ranks candidates against a role by fit, lets you compare them side by side on each criterion, and supports talent search across your evaluated candidates so you can find people who fit a new need. The insight is operational, not just a dashboard you glance at.
And because everything exports cleanly to your ATS or to CSV, the intelligence does not trap you. It enriches the candidates you already manage elsewhere, then hands the enriched, scored, ranked view back to wherever you need it.
Evidence-backed fit scores
Comparable 0 to 100 scores built from real interview, rubric, and resume evidence.
Hiring memory
Re-rank past candidates against new roles without re-uploading or re-interviewing.
Candidate comparison
Compare candidates side by side on each criterion to see exactly where they diverge.
Talent search
Search across your evaluated candidates to find fits for a new role or need.
Decision Engine ranking
Rank candidates by fit so insight drives the shortlist directly.
Clean export
Send enriched, scored, ranked candidates back to your ATS or to CSV.
Not all talent intelligence answers the same question. Here is where Lehire focuses.
Use cases
Reusing past candidates
Re-rank strong runner-ups from earlier searches against a new role in minutes.
Comparing across a pool
Make fair, criterion-level comparisons across your evaluated candidates for a role.
Building hiring institutional memory
Accumulate scored candidate knowledge so hiring gets smarter with every role you run.
Briefing leadership with evidence
Give leaders an evidence-backed, comparable view of the talent under consideration.
Make what you know about candidates work for you.
See a talent intelligence platform that turns evaluation into reusable, evidence-backed insight.