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Create job listings in seconds. AI builds the scoring framework automatically.
AI-scored · BilingualAiondCV gives recruiters everything they need — post a role, source and search candidates, screen, email and hire — in one AI platform. Powered by Lana, Nova & Tala, built for Saudi Arabia.
Four steps. No spreadsheets. No switching tabs. No guesswork.
Job title and description. AI builds the scoring framework automatically. No technical setup.
Drop hundreds at once. PDF or Word. Arabic or English. No manual sorting.
Lana, Nova and Tala score every candidate 0–100. Evidence-backed. No bias. Minutes, not days.
Ranked shortlist, narrative reports, interview kits — clear recommendation, every time.
All 16 tools work together in one platform — no switching between apps, no spreadsheets, no guesswork.
Create job listings in seconds. AI builds the scoring framework automatically.
AI-scored · BilingualDrop hundreds of CVs at once. PDF or Word. Arabic or English. No manual sorting.
PDF · Word · AR + ENEach resume gets a score from 0–100 instantly. No bias. No guesswork. Just evidence.
0–100 · Evidence-backedTop candidates rise to the top automatically. See the best first.
Auto-rankedReady-made questions tailored to each candidate's profile and your job role.
Lana · TailoredMove candidates across stages visually — Applied, Shortlisted, Interview, Offer.
Drag & dropFull evidence-backed evaluation — strengths, gaps, writing quality, career progression and narrative reports for confident final decisions.
Lana · Deep modeSee your hiring activity at a glance — uploads, scores, stage counts, trends.
Real-timeMultiple recruiters on one account. See who uploaded what and when.
Multi-seatScore candidates live during interviews using structured evaluation forms.
Structured evalAutomatically flags when the same resume is submitted more than once.
Auto-flagAI categorises every resume by department — no manual tagging required.
Nova · Auto-tagSearch CVs by meaning, not keywords. Describe the person you need in Arabic or English and the closest profiles come back ranked.
Nova · Vector searchSource candidates who never applied. Describe the role, get scored professional profiles across KSA, shortlist and reach out.
Tala · EnterpriseEvery stage move can email the candidate — bilingual templates, a two-minute undo window, and delivery tracking.
AR + EN · AutomatedYour own public careers page. Applicants apply, get pre-screened automatically, and land in a separate applicants pipeline.
Public · Self-serveScreening was the start. These four capabilities cover the rest of the hire: searching what you already have, sourcing what you don't, keeping candidates informed, and letting them come to you.
Keyword search finds the CVs that used your words. Semantic search finds the people who did the work. Describe the profile in plain Arabic or English — "backend engineer who has scaled payments in a regulated market" — and every CV in your library is ranked by meaning, not string matches.
The best candidate for a role is usually not in your inbox. Pick a job, and Tala searches live professional profiles across the Kingdom, scores each one against your job description with a written reason, and hands you a shortlist to reach out to — with an outreach message drafted for you.
Silence is the most common complaint candidates have about hiring in the region. Map each stage of your board to a template, and moving a card tells the candidate where they stand — in their own language, from your company's identity, without anyone remembering to write it.
A public careers page on your own address, carrying your logo and your open roles. Candidates apply directly, answer your knockout questions, and upload a CV — arriving pre-screened in an applicants pipeline that stays separate from the CVs your team uploads.
Everything in one place. Ranked candidates. Live AI insights. Pipeline at a glance.
| Candidate | Match | Stage |
|---|---|---|
|
SA
Sarah AlOtaibi
8y · Riyadh
|
94% |
Interview |
|
KM
Khalid AlMutairi
6y · Jeddah
|
91% |
Shortlist |
|
FA
Fahad AlShehri
5y · Dammam
|
87% |
Shortlist |
|
NH
Noura AlHarbi
7y · Riyadh
|
85% |
Applied |
Sarah's profile shows strong alignment on backend systems and team leadership. Recommend interview track A.
Built locally, fluent in Arabic, fast on KSA's most common CV formats — and ready for Vision 2030 hiring.
Local team, local hosting, local context. Nationality matching and KSA-specific signals out of the box.
Arabic CVs aren't an afterthought. Read, parsed, and scored as well as English — both directions, both languages.
From 23 hours per role to minutes. Top candidates rise to the top before they accept offers elsewhere.
Evidence-backed scoring, narrative reports, and bias-aware evaluation. Hire on merit, every time.
No spreadsheets. No 200-tab browsers. No CVs buried in email. Your recruiters do recruiting again.
We were reviewing 300 CVs per role. By the time we finished manually, our top candidates had already accepted offers elsewhere. That doesn't happen anymore.
Free to start. Upgrade anytime. Built for recruiters, job seekers, and HR tech partners.
Create your profile, upload your resume, and get AI-powered feedback to land your dream job.
Screen candidates faster, manage pipelines, and collaborate with your team using AI-powered tools.
Integrate our AI resume analysis directly into your HR product with our powerful REST API.
A 15-minute live demo. No slides. We run it on your real data — bring two roles and ten CVs.