It does the four jobs you would otherwise do yourself — searching, reading, checking and sorting. Here is exactly how, in plain words.
Every night, and again through the day as employers post new openings.
Most companies publish on their own website first, and many never post anywhere else. The agent goes straight there instead of waiting for a job board.
Company career pagesread directly2.1M
Workdayhiring system1.2M
Greenhousehiring system540K
Lever and SmartRecruitershiring system450K
A job advert is just paragraphs of text. The agent pulls out the facts that matter, so a listing can actually be compared to your CV.
Job title and level Read
Skills the employer asks for Read
Location and work type Read
Hours and contract type Read
Ten checks on every listing, the same ten every time, whatever your line of work. Anything that does not fit never reaches your list.
Your experience and level Compared
Your skills and what you did Compared
Where you want to work Compared
Your qualifications and languages Compared
Closed adverts, the same role posted four times, and listings that look fake. None of it gets through to you.
Listing still live on the employer site Kept
Apply link tested and working Kept
Same role posted by four agencies Removed
Advert closed since yesterday Removed
The same list, every time, for every profession.
Nothing reaches your list without passing all ten.
Nothing hidden — every job listing shows you how it matched.
A keyword search finds neither in the other, so the listing never reaches you. The agent understands they mean the same work, and puts it near the top of your list. You do not have to guess every way an employer might word your job.
Open each stage to see exactly what the machine learning model does.
We visit employer career pages, company websites and ATS portals directly — not other job boards. This makes our listings fresher and more accurate than anything aggregated from third-party sources. Every job comes with the full description, salary data and a direct apply link to the employer's own page.
Every job posting is unstructured text. Our NLP model extracts 34 structured signals — required skills, seniority level, salary range, contract type, remote/on-site status and more. This structured data is what makes meaningful matching possible. Without it, matching is just keyword search.
The core of Joboxy's intelligence. Our model understands semantic meaning — "ICU patient care" matches "critical care nursing" without you listing every variation. It scores your profile against every job across 12 dimensions and produces a single 0–100 match score with a breakdown of why. The model learns from your behaviour over time.
Every listing in your feed is re-checked within 24 hours. When a job closes, it disappears from your feed automatically — you will never waste time on an expired role. Duplicate detection removes the same job appearing from multiple sources. Fraud signals are flagged before any suspicious posting reaches you.
Your feed is ranked by match score — not by recency, not by who paid to be promoted. New matches appear throughout the day. Set instant alerts and be notified the moment a high-fit role is posted — giving you a first-mover advantage before most applicants know it exists.
A job board waits for employers to post. The agent goes and looks.
I had been sending CVs for months with no response. Joboxy matched me to roles I actually qualified for, and the AI CV tailoring transformed my callback rate. I had 14 interview calls and accepted an offer at Microsoft within the month.
As a software engineer I knew how important ATS keywords are. What Joboxy does with the CV builder is genuinely impressive — it analysed the job description and restructured my entire resume. My callback rate went from 5% to over 40%.
I was trying to move from India to Dubai and had no idea which companies were actively hiring. Joboxy found real verified jobs from actual employer portals — and the tailored CV got me shortlisted immediately.
Let the AI find it for you — whatever your profession, wherever you want to work.
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