Why we built Kazifi
Kazifi was built by a team of former engineers who spent years building applicant tracking systems - the software that reads, parses, ranks, and filters your CV long before a human ever sees it. We sat on the other side of the wall: the side that decides which applications get surfaced and which quietly disappear.
From there, one thing was obvious. The people getting rejected were rarely less qualified. They were losing to formatting a machine couldn't read, to missing keywords, to a layout that broke the moment it hit a parser. The tools that were supposed to help - a scattering of separate resume builders, keyword scanners, cover-letter generators, and trackers - each solved one slice and left you to stitch the rest together yourself.
We built Kazifi to close that gap: to put the knowledge from inside the hiring machine into the hands of the people applying, and to make the whole job hunt one workflow instead of a dozen browser tabs.
What Kazifi is
Kazifi turns the entire job hunt into a single workflow. In one place you can:
- Build or upload a CV that is structured to survive the same parsers we used to build.
- Check it against ATS rules - formatting, keywords, and structure - before you submit.
- Generate cover letters tailored to a specific role.
- Fix your LinkedIn, rehearse interviews, and track every application from first click to signed offer.
One app, for anyone applying, anywhere - with extras for students. You can see the full product on the Features page and how it fits together in How it works.
Who makes Kazifi
The guides, articles, and product you find here are made by the Kazifi Careers Team - the same engineers, writers, and career specialists who build the product. We publish under one accountable team name rather than a roster of invented personalities, because we would rather stand behind the work collectively than dress it up as something it isn't.
Our perspective on CVs, ATS, and hiring comes from first-hand experience building the systems that screen candidates, combined with ongoing research into how hiring actually works across industries and countries. When we make a claim about what recruiters or parsers do, it comes from that experience or from a source we cite.
Have a correction, a question, or something you think we got wrong? Write to us at [email protected] - a real person on the team reads it.
How we research and write our content
We want to be transparent about how our articles and guides are made, because trust matters more than the appearance of a large newsroom.
- Drafted with AI, reviewed by people. Much of our written content is drafted with the help of AI tools and then reviewed, edited, fact-checked, and approved by the Kazifi Careers Team before it is published. Nothing goes out purely machine-generated and unchecked.
- Grounded in first-hand experience. The substance - what ATS software does, how recruiters skim, what breaks a CV - draws on our team's background building these systems.
- Cited where it counts. Where we reference data, studies, or vendor behaviour, we link to the source so you can verify it yourself.
- Updated, not just published. We revisit and refresh content as hiring practices and ATS behaviour change, and every article carries a genuine publish and updated date.
If you ever find something outdated or wrong, telling us at [email protected] is the fastest way to get it fixed.
What we believe
- The machine shouldn't decide your future in silence. If a parser is going to read your CV first, you deserve to know how it works.
- One workflow beats ten tabs. The job hunt is stressful enough without stitching five tools together.
- Honest beats impressive. We would rather tell you a plain truth than sell you a trick.
- Built for the people nobody else builds for. Students, career-changers, and first-time applicants anywhere in the world.
Talk to us
Questions, feedback, partnerships, or press: [email protected], or use the Contact page. For how we handle your data, see our Privacy Policy and Security commitments.