AI Resume Screening Software That Understands Context — Not Just Keywords
Post one role and get hundreds of CVs in 48 hours. Reading every file by hand is impossible — and keyword filters in your ATS silently drop the best people. EchoHire ranks candidates semantically against your JD, with evidence quotes for every score.
Pain points this page is for
If these sound familiar, you're in the right place.
Inbound volume crushes lean recruiting teams
Funding announcements and LinkedIn boosts spike applications. A two-person recruiting team cannot read 800 PDFs in a quarter.
ATS keyword filters create silent false negatives
A candidate who wrote 'JS, Node, K8s' gets filtered out for a 'JavaScript, Node.js, Kubernetes' JD. You never see them.
Manual ranking is inconsistent and slow
Five recruiters reading the same stack will produce five different shortlists — and none of them will agree on why.
You cannot explain or audit decisions
Investors, DEI conversations, and internal calibrations need evidence — not 'we liked their resume'.
How EchoHire helps
Semantic JD-to-CV matching
Weighted fit scores (0–100) using skills, seniority, stack, and domain context — built on modern LLM embeddings, not regex.
Evidence-linked scoring
Every score points back to specific resume sentences. Defend or override any decision with one click.
Batch screening in minutes
Process the spike after a Show HN / AngelList / LinkedIn boost in a single session — review the top of the queue first.
ATS bidirectional sync
Lever, Greenhouse, Zoho Recruit, Ashby and more. Scores and statuses sync both ways so your team stays in one tool.
Custom rubric per role
Engineering, sales, ops, design — each role family has its own rubric template. Tune weights once, reuse across reqs.
Pairs with AI interviews
Auto-trigger structured AI interviews for high-fit candidates — no manual handoff between screening and first round.
What changes when you stop reading resumes linearly
Manual triage scales linearly with inbound. AI resume screening flattens that curve — you spend the same time whether 50 or 500 candidates apply. The metric that moves: time-to-first-shortlist drops from days to under an hour.
- →Top-10% queue captures candidates you would have hand-picked.
- →Same rubric for every applicant — fairness and DEI defensibility.
- →Recruiter hours shift from reading PDFs to closing hires.
Frequently asked questions
Screen your next role with AI
Connect your ATS or upload a folder of CVs. EchoHire returns a ranked, evidence-linked shortlist before your next standup.
Best for startups, IT services, and product engineering orgs with high inbound volume and lean recruiting teams.