Hire more of the best people, faster.from every CV.with the proof.without the late nights.faster.with proof.from every CV.no late nights.

No need. Harsift works inside the ATS you already have: it picks up new applicants from it and writes the pile, the evidence and a note per requirement back onto each candidate’s record. If you don’t use an ATS, it works from your inbox.

Roles, screening, the three piles, the evidence view and the one question all work today, and we’ve tested them on 1,000 CVs. The Workable and Zoho Recruit connections are built and run in test mode, reading applicants and writing nothing back until they’re switched on. The MCP server already lets an agent read roles, piles and CV lines. Gmail, Outlook, WhatsApp, Slack, Teams and Bullhorn are next, switched on one by one, along with agent tools that act as well as read. Joining the waitlist is how you get in as each one opens.

No. Harsift uses Jev to answer small factual questions about each CV, like “did they file the VAT return themselves?”. Fixed rules that you can read and change turn those answers into the pile. A language model only writes explanations when you ask for one, and it never changes a decision.

We built 1,000 deliberately hard CVs for a Senior Accountant role in Dubai, wrote down the right answer for each one before any tool saw it, and ran three screeners on the same files. They’re test CVs in one clean layout, for one role in one market, and they test the hard part: telling apart who did the work from who only mentioned it. Messy real PDFs and scans go through a separate reading step first, and the next test is a live role.

No. One model reading the job ad and the CV and giving a verdict is exactly what the AI screener in our test does, and it got 43.6% right. Harsift breaks the role into small factual questions, uses Jev to answer each one against the CV, and fixed rules make the call. Same CVs, very different result. The difference is how the screening is built.

Harsift uses Jev by TypeSafe AI to answer the questions, and a language model only when you ask for an explanation. Before any real CV goes in, we agree with each team where CVs are stored, how long they’re kept and when they’re deleted.

It goes to a separate list to fix. It’s never marked Not a match, and Harsift never guesses what the CV might have said.

No. Harsift only asks about work: what they did, for how long, and what they’ve stated about notice, visa and salary. Anything you ask for that touches a protected detail gets flagged when the role is drafted.

We’re setting prices with the first teams on the waitlist. Reading and sorting 1,000 CVs costs us about AED 0.59 today, so screening won’t be the expensive part.

Hamza, as a side project, using Jev by TypeSafe AI. It grew from a screening test into a full hiring pipeline once it held up against 1,000 difficult CVs.