Resume parsing
Reads any format, PDF, DOCX, LinkedIn, into structured profiles: skills, experience, education, gaps.
- Any format in
- Structured profiles
- Skills & timeline extraction
An AI recruitment platform that parses resumes, scores candidates against the role on multiple dimensions, and ranks them with explainable, bias-aware logic, so your team spends time on people, not stacks of PDFs. Wired into your ATS.
Not a keyword filter that rejects good people. A scoring engine that reads resumes like a thoughtful recruiter, and shows its reasoning.
Reads any format, PDF, DOCX, LinkedIn, into structured profiles: skills, experience, education, gaps.
Scores each candidate against the role on skills, experience, seniority and role fit, not just keywords.
Masks name, gender and other signals during scoring and audits outcomes for adverse impact.
Every score comes with reasons and evidence from the resume, defensible to hiring managers and auditors.
Generates and scores role-specific screening questions and take-homes to go beyond the resume.
Ranks inside the ATS you already use, syncing scores, notes and status automatically.
Candidates flow in from your ATS and job boards, resumes are parsed and enriched, the scoring engine ranks them bias-aware and explainable, recruiters review, and results sync back to the ATS.
Runs in your cloud or a private VPC · EEOC & GDPR-aware · candidate data never trains third-party models
Works inside the ATS your team already lives in, and the boards you source from.
A fixed-scope rollout, we calibrate scoring on your real roles and past hires before it ranks a single live candidate.
We map your roles, hiring criteria, ATS and fairness requirements, and agree quality-of-hire targets.
We build role rubrics, connect your ATS, and calibrate scoring against past successful hires.
We test rankings and run adverse-impact checks with your talent and legal teams before go-live.
Rollout with funnel and fairness dashboards. Optional retainer for new roles and rubric tuning.
AI in hiring is under a microscope, legally and ethically. This is built to be fair and explainable, not a black box.
Every score comes with reasons and evidence from the resume, and outcomes are audited for adverse impact, so hiring managers trust the shortlist and your legal team can defend the process.
Names, gender and other signals are masked during scoring, fairness thresholds are configurable, and adverse-impact monitoring is built in, because faster screening should never mean less fair screening.
Something missing? Email Prakash directly, same-day replies, no SDR layer.
A 30-minute session with Prakash or a senior AI engineer, never an SDR. Bring a live requisition and we'll show the platform scoring and ranking real candidates, with reasons.
Book a live demo →