Applications, read by meaning not keywords.
Rolerise catches AI-fake résumés and bot floods, returns the good candidates your filters wrongly reject, and searches everyone you've ever screened in plain language. Every call comes with a reason.
Screening broke in both directions at once
The market bought filters. Filters made hiring worse. The same first pass now lets fabrication through — while cutting strong candidates for formatting it can't parse.
Six passes before a decision is final
Every application clears every pass before your team ever sees a verdict — and every verdict carries the reasoning behind it.
Rescue runs the check most filters skip.
A location field misread as on-site. A title that doesn't map to a level. A gap treated as a red flag. These aren't rare edge cases — they're systematic, and they look identical to a weak candidate until someone checks.
Rescue checks: it re-reads every rejection for a parsing error, re-evaluates skills by meaning instead of keywords, and re-scores anyone who matches despite a formal gap. Nothing here lowers the bar — what's genuinely missing stays missing. It fights false rejections, not screening itself.
Questions worth answering upfront
Does this replace our ATS?
No. Rolerise is a reading layer that sits before your team decides — it works alongside the system you already have.
Will it auto-reject anyone?
No. Every flag is a signal with a reason attached. A person makes the final call, always.
How is this different from a bot blocker like Cloudflare Turnstile?
Those stop traffic at the door. Rolerise also fixes what happens after — catching fraud and returning candidates wrongly rejected, in the same pass.
What about compliance and explainability?
Every decision is logged with a reason and the evidence behind it — built for markets where explainability is now a condition of the sale, not an afterthought.