EzUnihire connects universities, employers, and students on one recruitment engine — verified student data, rules-based eligibility, honest match scores, and a pipeline your placement cell and TA team can actually run day to day.
Every match score is explainable — skills, academics, and screening responses, not a black box.
EzUnihire's direct clients — campuses and hiring teams
Extended through our partner network
A university admin, a recruiter, and a student all touch EzUnihire — and each one gets exactly the view their job actually needs.
Import students against a subscribed quota, structure them by department and course, and decide exactly which fields they're allowed to self-edit. Every change to verified data lands in a queue your team approves — not an email thread.
For placement cellsFour moments, one continuous record — no handoff between spreadsheets, inboxes, and a separate ATS.
01A university admin imports its student list against its subscribed quota. Every profile field the university has marked sensitive goes into a review queue — nothing is trusted until it's checked.
02A company posts a job with eligibility rules. The AI-powered matching engine splits candidates into Eligible and Matched, and a recruiter shortlists straight from the ranked pool.
03Shortlisted students move through the pipeline stage by stage — every move logged, every recruiter on the same Kanban board, no spreadsheet reconciliation after the fact.
04An offer goes out, the student accepts, and the funnel closes the loop — reportable by university, department, course, or job, the moment it happens.
A candidate is eligible when they satisfy every mandatory rule — the right university, department, course, no disqualifying criteria. They're matched when they're also ranked against skills, academic performance, and screening answers. EzUnihire keeps both views visible, on purpose — so recruiters never mistake a wide net for a good shortlist.
Quota, eligibility, verification, and reporting aren't add-ons — they're the reason the platform exists.
Verification is a queue, not an inbox. Every approved field is tracked; every pending change is flagged before it can mislead a recruiter.
Hard eligibility and ranking rules apply automatically to every job — no manual re-checking per posting.
A complete, self-editable professional profile — documents and video included — that a student builds once and carries into every application, not just one.
Real, structured scoring across five checks — file quality, skills, headline, academic completeness, contact completeness — pulled from the candidate's actual profile, not a generic score.
Interview questions and prep content generated by AI from the real company and role a student applies to — the actual skill gap against the actual job description, never a stock question bank.
An AI matching engine ranks every eligible candidate by real fit against your job — surfacing strong matches before they've even applied, not just whoever applied first.
Schedule, reschedule, or cancel interviews straight from a candidate's pipeline record — paste your own meeting link, full history preserved, no separate calendar tool.
Move candidates through Shortlisted, Interview, Offer with a full audit trail on every stage change.
Capacity is consumed on completed self-onboarding, not on import — universities always know what's left.
Sub-admins get access to specific departments or the whole university — never more than they're granted.
Universities and companies see accurate, real-time KPIs — placement rate by department, share of hires by company — not a quarterly export.
Every funnel stage is reportable by university, company, department, course, job, or date.
We used to verify student data over email threads. Now it's a queue, and every approval is logged — our audit conversations take minutes, not days.
Matched versus Eligible changed how our recruiters triage. We stopped digging through spreadsheets to find who actually qualifies.
Quota tracking finally has a straight answer: purchased, consumed, remaining. No more reconciling three spreadsheets before a renewal call.
Composite feedback reflecting common placement-cell and TA workflows, not attributed quotes.

Tell us your student population and department structure — we'll set up your quota and initial admin.
Offline onboarding — a DeepTalent team member sets you up.
Scope which universities you want access to, or open up to the whole network from day one.
Offline onboarding — a DeepTalent team member sets you up.
Whether you're a placement cell planning next semester's intake or a talent team scoping a campus hiring drive, tell us where you're starting from.