Stop keyword matching. Our engine parses, scores, and explains every candidate profile against your JD using advanced NLP.
Alex Chen
Senior Backend Engineer
7 years experience in building scalable APIs.
Tech Stack: Node.js, PostgreSQL, AWS.
Our platform turns job descriptions and CVs into structured, machine-readable data. Then an AI scoring engine evaluates every candidate against your exact requirements – no guesswork, no manual triage.
and still miss the best fits.
Volume overwhelms human capacity. You spend more time filtering noise than engaging with top talent.
biased, and impossible to scale.
Subjective criteria change daily. Fatigue leads to errors, and unconscious bias creeps into decision making.
they don't understand the JD.
Most ATS systems rely on simple keyword matching. They miss context, seniority, and transferable skills.
A structured, weighted scoring model evaluates candidates objectively based on CV data and job requirements.
Depth, duration, and alignment of past roles with the JD (tools, technologies, seniority).
Match with target industries (e.g., Fintech) and company types (Startup vs Enterprise).
Consistency of employment, transitions, job-hopping patterns, and gaps.
Growth trajectory, promotions, increasing responsibilities, and role diversity.
Validity and consistency of transitions where available in CV / profile data.
Go beyond the shortlist. Visualize your funnel, understand source quality, and audit every scoring decision.
Track candidates from application to interview.
Compare LinkedIn vs Agencies vs Direct apply.
Track who changed scoring weights and when.
We process sensitive candidate data with the same rigor as a bank. Fully compliant, fully encrypted, and fully controlled by you.
Data is encrypted at rest and in transit using banking-grade standards.
Certified compliant infrastructure with continuous monitoring and auditing.
Granular permission controls for Recruiters, Hiring Managers, and Admins.
Host your data in US, EU, or APAC regions to meet local compliance.
Contact the engineering teams that have reduced hiring time by 90% and improved candidate quality.