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AI-powered job portals that match, screen and recommend.

The intelligent upgrade over a standard careers portal. Jobtrix builds AI job portals with semantic candidate-to-job matching, a conversational apply experience, automated screening and a personalised recommendation engine - all human-in-the-loop, bias-checked and secured to enterprise standards. Fewer wasted hours, better shortlists and a candidate experience that feels effortless.

The intelligent portal

A careers portal that actually understands the role

A standard portal lists jobs and collects applications. An AI job portal understands them. Semantic models read the meaning behind a job description and a candidate's experience, so the right people surface even when they don't use your exact keywords - and recruiters spend their time on the shortlist instead of the slush pile.

This is the intelligent upgrade to our Job Portal Build. Start with a beautifully crafted careers site, then add the AI layer - matching, conversational apply, auto-screening and recommendations. Every AI action is transparent and reversible, with a human making the final call on who moves forward.

  • Matches on meaning - semantic embeddings, not keyword overlap, so capability wins over vocabulary.
  • Human-in-the-loop - AI ranks and shortlists; it never auto-rejects, and every score is explainable.
  • Effortless to apply - a conversational, mobile-first flow that lifts completion and engagement.
  • Enterprise-secure - DPDP Act, GDPR and SOC 2-style controls, with no training on your data.

Semantic match

Surfaces the right talent even when the words don't line up exactly.

Conversational apply

A guided chat flow that feels quick and human on any device.

Auto-screening

Ranked, explainable shortlists - recruiters review, never the AI alone.

Recommendations

Personalised job suggestions keep candidates engaged and returning.

Key features

The intelligence layer, built in

Six AI capabilities that turn a careers portal into an always-on matching and screening engine.

Semantic job<>candidate matching

Jobs and profiles are embedded into a shared vector space, so matching is based on meaning and capability - surfacing strong candidates who phrased things differently.

Conversational apply

A friendly chat-style application collects the essentials, answers candidate questions and parses the resume - dramatically reducing drop-off versus long forms.

Automated screening & shortlisting

Applicants are scored against the role's must-haves and ranked into an explainable shortlist - so recruiters start with the strongest, and no one is auto-rejected.

Personalised recommendations

A recommendation engine suggests the most relevant roles to each candidate based on their profile and behaviour - lifting applications-per-visitor and return rates.

Engagement chatbot & nudges

A candidate-facing assistant answers FAQs, checks application status and sends smart nudges to finish applying or book interviews - keeping talent warm.

Recruiter co-pilot dashboard

One workspace to see matches, ranked shortlists and reasoning, draft outreach, schedule interviews and act on AI suggestions - with a human always in control.

How it works

From raw applications to a ranked, learning pipeline

A five-step pipeline that turns every job and applicant into an intelligent, continuously improving match.

Ingest jobs & applicants

The portal ingests your open roles and incoming applications, parses resumes and normalises skills, titles and experience into structured, comparable data.

Embed & match semantically

Jobs and candidates are converted into embeddings and matched on meaning - capturing adjacent skills and real capability rather than exact keyword overlap.

Conversational apply & auto-screen

Candidates apply through a guided chat, and the system scores them against the role's requirements, producing an explainable, ranked shortlist for review.

Recommend & rank

Candidates receive personalised role recommendations while recruiters get ranked matches and next-best actions in the co-pilot dashboard - human decides.

Learn & improve

Recruiter decisions and hiring outcomes feed back into the models, so matching and screening get sharper for your roles with every cycle.

Responsible AI & security

Fast, fair and enterprise-secure

Automation in hiring only earns trust if it's transparent and safe. Our AI job portals keep humans in control, are checked for fairness, and are built to the security and privacy standards Fortune 500 and unicorn clients require.

  • Human-in-the-loop - AI shortlists and ranks; recruiters review and decide, and nobody is auto-rejected.
  • Bias & fairness checks - skill-based matching, adverse-impact monitoring and explainable scores.
  • DPDP Act & GDPR - consent on apply, purpose limitation, retention control and data-principal rights.
  • SOC 2-style controls - encryption in transit and at rest, RBAC, audit logging and private tenancy.
  • No training on your data - your jobs and candidates are never used to train external models.

Fits your recruiting stack

Matches, shortlists and scheduling flow into the systems your team already lives in - so the AI works with your process, not around it.

ATS / HRMS - Greenhouse, Lever, Workday, Darwinbox, Keka LinkedIn & job boards Google & Outlook Calendar Slack & email alerts Assessment platforms REST APIs & webhooks
FAQ

AI Job Portals, answered

Keyword search only finds candidates who used the exact words in your job description, so it misses strong people who phrased their experience differently and surfaces weak ones who keyword-stuffed. Semantic matching converts jobs and profiles into embeddings that capture meaning, so a "React developer" matches someone who wrote "front-end engineer, built SPAs in JS" and understands that adjacent skills are related. You get relevance based on capability, not vocabulary.

No. The system is human-in-the-loop by design. AI ranks, scores and shortlists to save recruiters time, but it never auto-rejects anyone - a person always reviews and makes the decision. Every score comes with an explanation so your team can see why a candidate ranked where they did and override it.

Matching and screening are built around role-relevant skills and outcomes, not demographic proxies. We run fairness checks and adverse-impact monitoring on ranking, keep humans in control of every decision, and provide explainable scores with an audit trail. The goal is more consistent, defensible screening than manual review - reviewed regularly by your team.

Yes. The portal connects to your ATS and HRMS - Greenhouse, Lever, Zoho Recruit, Workday, SuccessFactors, Darwinbox, Keka and others - plus LinkedIn and job boards, calendars for scheduling, and Slack or email for alerts, through native connectors, REST APIs and webhooks. Matches, shortlists and applications flow into the tools your recruiters already use.

If you already have a careers portal we can layer the AI capabilities on in a few weeks. A full AI-powered portal built from scratch ships through an iterative rollout, typically over a few weeks, so you start seeing matched, screened candidates early rather than waiting for a single big launch.

Turn your careers portal into a matching engine.

See semantic matching, conversational apply and auto-screening running on your roles - human-in-the-loop and secured to enterprise standards.