Stop screening resumes. Start identifying the candidates who will actually succeed in the role.
Upload a job description and a stack of resumes. In seconds, get a ranked shortlist backed by evidence — not a keyword score you have to take on faith.
One agent, three moves — no dashboards to configure, no keyword rules to babysit.
Drop in the JD, the resumes, the team's actual scope — however messy, however many. PDFs, DOCX, LinkedIn exports, the works.
Multi-pass inference maps every resume against a live competency graph. No keyword bingo, no 7-second skim, no vibes-based pass.
Ranked candidates, per-dimension scores, evidence you can click into, and interview questions aimed at the gaps that actually matter.
No black box. No unaudited scores. This runs on infrastructure built for enterprise hiring data.
Keyword filters miss good candidates. Manual review compresses careers into a 7-second glance. The bill for both shows up later — in wrong hires and empty seats.
Not a match percentage. A structured analytical assessment with evidence, risk signals, gaps, and targeted interview recommendations.
The Candidate Match Agent is the analytical engine behind multiple recruitment and talent acquisition solutions.
Replace manual first-pass screening with competency-level analysis. Process 500+ candidates per role in minutes, with full evidence for every pass/fail decision.
Auto-generate role-specific, candidate-specific interview guides that target competency gaps and uncertainties — so every interview hour produces maximum signal.
Evaluate candidate pools against role requirements and against each other — surfacing relative strengths, common gaps, and pool-level insights for hiring strategy.
Run the same competency analysis against internal employee profiles to surface redeployment opportunities, development gaps, and succession-ready candidates.
Competency-first analysis evaluates what candidates can do — not where they went to school or which companies they've worked at. Every decision has an auditable evidence chain.
Extend the same analytical framework to contractor proposals, vendor team bios, and agency submissions — ensuring outsourced work is matched to genuine capability.
Pick what you're hiring for — each one runs a slightly different analysis under the hood, tuned to how that role actually gets evaluated.
Tells system design experience apart from framework tourism. Calibrated for IC, staff, and management tracks.
Finds the PM who shipped outcomes, not the PM who attended a lot of standups. Scope and impact, evidenced.
Quota-carrying claims checked against attainment evidence, deal complexity, and territory scope — not title inflation.
Scope, team scale, and P&L ownership — verified line by line, not assumed from a job title.
Hiring for something else? Every AI Transformation runs on the same engine →
Same engine, two very different days. Calibrated for hiring contexts from technology and fintech to healthcare and professional services.
Give recruiters and hiring managers a shared, evidence-backed shortlist instead of a pile of resumes and a gut feeling. Every ranking comes with the reasoning attached.
Screen and benchmark candidate pools across multiple clients and roles at once — and back every placement with an evidence trail your client can trust, not just your word.
Most hiring tools tell you who applied. This one tells you who can actually do the job — and shows its work.
Not keyword matching or embedding similarity. Multi-step inference chains that evaluate competency depth, experience relevance, and trajectory the way a senior hiring partner would — across every candidate, at once, without getting tired by candidate 40.
"Led a team of 5" means something different at a pre-seed startup than at a public company. The agent knows the difference and scores accordingly — instead of taking every resume claim at face value.
Every candidate is evaluated against the JD and against the rest of the pool. You get relative strengths and pool-level patterns — not 40 isolated verdicts with no sense of who's actually best.
Every recommendation is backed by evidence you can inspect, share, and audit. Match scores decompose into per-dimension ratings. Risk flags link to specific resume passages. Nothing is a mystery number.
Playbooks, write-ups, and reference docs for teams putting this into production.
Field notes on competency-based hiring, screening bias, and what's actually changing in talent acquisition.
Step-by-step guides for rolling out competency-based screening across a hiring team or agency desk.
API reference, ATS integration guides, and webhook setup for engineering teams wiring this in.
Upload a job description and a stack of resumes. Get expert-grade candidate assessments in seconds — free to start, no credit card required.