94%auto-screened
3.4sper CV
100%scored consistently
TwinMind reads every CV the moment it lands, normalises the skills, scores each candidate against your role scorecard and stamps shortlist, screen or reject - with a reason for every score and the inflated claims caught along the way.
A single mid-level role pulls 150-400 applications, and a recruiter can meaningfully read maybe a tenth. The best candidate is often screened out by fatigue, not by fit.
And every reviewer scores differently, so there is no consistent bar and no defensible reason when someone asks why they were rejected.
A 7-step pipeline runs on every application the moment it lands: receive, parse and OCR the CV, lift a structured profile, normalise every skill - K8s and Kube become Kubernetes - then score against your role scorecard and stamp shortlist, screen or reject.
Each verdict carries a plain-English rationale, and the right next action fires automatically - so the shortlist builds itself while the pile is still landing.
If a role pulls more applications than anyone can fairly read, this pipeline reads all of them - your ATS stays, the pile disappears, and every rejection has a reason you can stand behind.
Best for · recruiters, in-house talent teams, agencies, any high-volume role
We start with a fixed-scope AI Opportunity Audit: we map where the hours and the risk actually are, then show you the one or two systems worth building first.
Book a free meetingOr reach us right here, right now - talk, type or call, whichever suits you:
Live video & voice calls run 9am-5pm Brisbane; chat, the AI assistant and email are open any time. Calls are transcribed live into your chat, so everything you discuss stays right here in your messages.