Entexis builds custom hiring AI tailored to how your team actually evaluates candidates: first-pass screeners, take-home graders, recruiter copilots. Multilingual out of the box (English, Hindi, Spanish, French & more). Works across job descriptions and resumes in any major language. The tool below is the same screener we use internally at Entexis to triage applications for our own roles. Try it. Then tell us what we should build for yours.
This is a working showcase, not a SaaS product. The screener is real. We run it on our own job postings every week. We built it as an end-to-end example of what we deliver to real clients. Run any job description and resume through it; nothing is stored on our side.
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Typical outcomes when a team hires Entexis to build a custom AI screener, drawn from real engagements. Numbers shift per role family, but the shape of the impact stays the same.
Every piece below was built end-to-end by the Entexis team. The same components (parsing, scoring, structured output, integrations) get re-tuned and re-shaped for your hiring rubric.
Drop in the resume the candidate sent. We extract the text and feed it straight to the model. No copy-paste needed.
0–100 score that weighs must-haves vs nice-to-haves. Color-coded so you can triage a stack of resumes in seconds.
Cites named technologies, real years of experience, and shipped projects from the resume, not generic praise.
Honest weaknesses and red flags vs the role's bar: seniority mismatches, missing must-have skills, project-shape risk.
Three questions you can paste into the screening loop, designed to probe gaps and pressure-test claimed strengths.
Run as a standalone tool, or plug it into your existing hiring system as a first-pass step before a human ever opens the file.
Job description and resume can be in any major language: Hindi, Spanish, French, German, Arabic, Mandarin, Portuguese. Mixed pairs (English JD + Hindi resume) work too. Verdict comes back in the JD's language.
Drop in a job description and a resume, get a structured assessment back. That's it. No integrations, no model tuning, no training data to manage.
The whole role description: responsibilities, must-haves, nice-to-haves, seniority. The richer, the better.
PDF, DOCX, or pasted text. Up to 5 MB. We pull the text out automatically.
The model assesses fit on must-haves and nice-to-haves, then writes specific strengths, gaps, and questions.
A glance at the fit score and gaps tells you whether to advance, reject, or send for a deeper read.
The screener above is one shape: first-pass triage with structured output. We also build take-home graders, recruiter copilots, candidate-engagement bots, internal-mobility scorers, and bespoke hiring automations. Two to four weeks for most builds. We use this exact tool internally for Entexis hiring. It's not vapour, it's a working pattern we know how to ship.
We'll reply within one business day to talk about an AI screener tuned to your hiring bar.