When half your applicants aren't real

A role goes live and four hundred applications land by lunch, but you already know most of them are noise — tailored by a bot, half-invented, some pointing at people who don't exist.

The screen that screens nothing

Keyword matching was built for a world where a resume was a slow, deliberate document. That world is gone. Anyone can now generate a resume that hits every term in your posting, which means your filter happily passes the polished fakes and buries the real person who described their work in their own words.

So you do the only thing that works: you read everything yourself, again, like the tool isn't even there.

What the flood actually costs

• Interview slots burned on candidates who turn out to be synthetic or wildly misrepresented
• Strong, oddly-worded resumes filtered out for missing a buzzword
• Recruiters reading every applicant by hand because they no longer trust the shortlist
• Real candidates ghosted while the team digs out from under the noise

A filter that can't tell a real candidate from a generated one isn't saving you time — it's hiding the problem.

Score the signal you actually trust

You know what a real fit looks like for your desk — the work history that holds together, the answers that can't be faked in a screening question, the patterns that flag a synthetic profile. That judgment is the spec. APLINO writes it into a Blueprint, ships an MVP your recruiters use within weeks to rank and flag against your own signals, and keeps engineering as the fakes get better.