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Candidate Data Protection
A tested starting point for candidate data protection reduced repeated setup work.
We built an AI-assisted recruitment platform that reviews applications, compares candidates with role requirements, explains why someone is a strong match, and helps recruiters focus on the people worth speaking with.
Trusted by teams building ambitious products
A recruiting team handling more applications than recruiters could realistically review manually.
Coretus supported screening workflows, AI matching, candidate ranking, data handling, recruiter UX, and reporting.
Review every application more consistently and surface strong candidates earlier.
A recruitment workflow that analyzes experience, skills, and role fit before a recruiter performs the final review.
The recruiting team received more than 10,000 applications each month, making it unrealistic to give every resume the same level of attention.
Basic keyword filters were fast but often missed people whose experience was relevant even when their resume used different wording. The team needed a smarter first review without removing recruiters from the hiring decision.
Exact-word matching could miss transferable or differently described experience.
The platform considers skills, experience, and role context together.
Screening standards could vary between reviewers and locations.
Every applicant is reviewed against the same core role requirements.
Applications waited in a recruiter queue before first review.
Candidates can be ranked as soon as the application is received.
The platform understands relevant experience beyond simple keyword overlap.
The same role criteria are applied across the applicant pool before recruiter review.
High-fit candidates can be surfaced quickly so recruiters spend more time interviewing and less time sorting resumes.
Tested foundations helped the team spend less time on setup and more time on the parts that made this product useful.
A tested starting point for candidate data protection reduced repeated setup work.
Reusable work for skills matching let the team focus more time on the client’s specific needs.
This made it easier to add screening monitoring without rebuilding common foundations.
A tested starting point for hiring workflow reliability reduced repeated setup work.
A straightforward before-and-after view of what changed for the team and their customers.
AI handled much of the first-pass review so recruiters could focus on qualified candidates.
A more consistent first-stage review reduced variation caused by rushed or uneven screening.
Applicants could be ranked immediately instead of waiting in a manual review queue.
Coretus didn't just automate a task, they built a selection engine that thinks like our best recruiters. We handled 10,000 monthly applications with zero bias and increased our hiring speed by 90%, all while maintaining a perfect audit trail.