Jarvi reads every CV and LinkedIn profile, scores each candidate against your real job requirements, and surfaces the strongest fits at the top of your pipeline. You only review shortlists worth your time.
Three pain points every recruiter knows. Jarvi takes care of all three.
Jarvi reads every incoming CV and LinkedIn profile, parses the data, and ranks candidates against your real job requirements. You open your pipeline and the strongest fits are already at the top.
Jarvi does not stop at a yes or no. It tells you why a candidate fits, where the gaps are, and which constraints would block a hire. You stop missing strong profiles because they were on page 7.
Stop reading 300 CVs to find 10. Jarvi reviews them in seconds and hands you a ranked shortlist, so your time goes into the calls that move a placement forward.
Plug Jarvi into your existing sources and let it handle the top of your funnel.
Resumes, LinkedIn profiles, career site applications and Sales Navigator imports flow into Jarvi, fully parsed and deduplicated.
Jarvi reads your job description, applies your knockout criteria, and rates each profile on skills, experience, domain and language fit. Each score comes with a short explanation you can read in seconds.
Open your project, the top candidates are already ranked. One click to qualify, reject or move the best ones to an interview.
Pick a job description, hit score, and watch Jarvi rank four candidate profiles. No signup, no upload.
5+ years building production React apps. TypeScript fluent. SaaS background. Based in or near London, hybrid.
This is what your recruiters see when an application lands in Jarvi. Same logic, applied to every CV in your pipeline.
Most ATS still rank candidates on whether the right words appear in the CV. Jarvi reads context, not just text.
Jarvi evaluates each candidate the way an experienced recruiter would, and shows its work, so you can challenge or accept the verdict in seconds.
Hard skills, tools, frameworks and methodologies are extracted from the CV and matched against your requirements. Each gap is listed explicitly, so you know what is missing before the interview.
Jarvi looks beyond total tenure. It distinguishes between years on the actual job to fill and years on adjacent roles, so a strong fit is never confused with a long career in another domain.
Whether you hire for SaaS, finance, industrial or healthcare, Jarvi recognises which past employers and projects are relevant. Candidates from the right ecosystem rise to the top automatically.
Required languages are treated as hard criteria. A profile missing a must-have language is flagged immediately, even if the rest of the match looks strong.
Distance and remote eligibility appear as warnings rather than score penalties, so you keep visibility on great profiles who happen to live further away. The decision stays yours.
Set the hard filters that decide a hire in your market: visa status, salary band, notice period, certifications, security clearance. Profiles that miss them get a red flag, and you can auto-reject if you want to.
Same 100 applications. Two very different mornings.
Numbers based on internal benchmarks across 1,200+ Jarvi customers.
Drop in one of your live jobs and watch Jarvi rank your real candidates. Book a 30-minute demo, no prep needed.
Whatever your sourcing channel, Jarvi screens what comes in.
Every application from your job postings on Hellowork, Indeed, APEC, LinkedIn and 40+ other boards lands pre-scored in your project.
Applications submitted on your Jarvi-hosted career site are parsed and scored before you open the pipeline.
Drop a folder of resumes, including image-based CVs, and Jarvi parses, deduplicates and ranks them against the live job in seconds.
Add a profile from LinkedIn or Sales Navigator with one click and get an instant fit verdict.
Bulk import hundreds of profiles and let Jarvi rank them, so you start outreach with the strongest fits first.
Run a new job against your past candidates with semantic search. Jarvi resurfaces profiles you already met who match the new role.
The Jarvi AI Notetaker joins every screening call, transcribes the conversation, and pulls out what really matters: must-have requirements, salary expectations, notice period, motivation, deal-breakers.
That structured summary lands on the candidate file and feeds back into the scoring engine, so the next recruiter who picks up the file has the full picture without rereading the transcript.
See the full AI NotetakerPlug in your numbers. See hours back, extra placements, extra revenue.
Estimates based on screening times observed across Jarvi customers (2 min/CV manually, 18 s/CV with Jarvi review). Your actual results depend on close rate and pipeline efficiency.
We'll run Jarvi on your own roles and your own numbers, so you see the saving before you commit. Book a 30-minute demo.
Speed only matters if every decision stays defensible. Every Jarvi score is explainable, auditable and human-led.
Scores are recommendations, never verdicts. Recruiters keep final say on every shortlist, with one-click overrides logged in the candidate timeline.
Each candidate score comes with a short explanation of what fits, what is missing, what blocks the match. No black box.
Scoring focuses on skills, experience and job-relevant signals. Age, gender, photo, marital status and country of origin are excluded from the scoring logic by default.
Candidate data is hosted on SOC 2 Type 2 certified servers, encrypted in transit and at rest, fully GDPR-compliant. Each client's data is isolated from the others.
Every score, override, message and status change is logged, with the channel, the user and the timestamp. Useful for client reporting, internal QA and regulatory peace of mind.
Candidate data is never used to train Jarvi's models. When AI runs through our model providers, contractual safeguards keep data on European servers and out of any training pipeline.
Automated candidate screening, also called AI resume screening, uses AI to read every incoming CV or profile, evaluate it against the requirements of an open job, and rank candidates by fit. Recruiters get a pre-sorted shortlist with a short written explanation on every candidate, instead of a flat inbox of applications.
Jarvi scores candidates on the same criteria a senior recruiter would weigh: skills, depth of experience, domain fit, language and any custom knockout criteria you set. Every score comes with a short written explanation, so when the scoring gets it wrong, you see why in one click and override in another. Accuracy is auditable on every candidate, not a black-box claim.
No. Jarvi removes manual sorting at the top of the funnel, so your team focuses on screening calls, qualification and client relationships. The final decision on any shortlist always sits with the recruiter.
Jarvi screens applications from 40+ job boards (Hellowork, Indeed, APEC, LinkedIn and more), CVs uploaded in PDF, DOC, DOCX, ODT and image formats, applications from your Jarvi-hosted career site, LinkedIn and Sales Navigator profiles, Recruiter lists, and your existing talent pool via semantic search.
Scoring is based on skills, experience, domain fit and language requirements. Age, gender, photo, marital status and country of origin are excluded from the scoring logic by default. Every score is explainable and reviewable, so a recruiter can challenge any decision and the override is logged in the audit trail.
Jarvi infers signals about communication, autonomy, leadership and adaptability from the language, scope and outcomes described in a CV or LinkedIn profile. These signals appear as context next to the score, not as a hard ranking criterion. Soft skills are best confirmed in a screening call, and Jarvi's AI Notetaker captures them automatically once the call happens.
Yes, it is GDPR compliant. Candidate data is hosted on SOC 2 Type 2 certified servers, encrypted in transit and at rest. Each client's data is isolated, and retention rules, consent tracking and audit trail are built in.
No. Candidate data uploaded to your Jarvi workspace is never used to train Jarvi's models. When the AI scoring runs through our model providers, contractual safeguards keep data on European servers and out of any training pipeline.
Most agencies are screening live applications the same day. Connect your inbox, your job boards and your career site, drop in a job description, and Jarvi starts ranking candidates within minutes. Full migration of an existing candidate database typically takes one to two weeks, mostly driven by how fast the export from your current ATS lands in our hands.
See what your pipeline looks like once Jarvi has done the screening for you. Book a 30-minute demo on your own roles.
Pair automated screening with AI-powered outreach, a full ATS and a CRM built for recruiting agencies.
Get started with Jarvi and turn your screening backlog into a ranked shortlist.
