AI-assisted candidate screening

Hire without the noise.

Clear scores. Simple rankings.
No guesswork.

HyprSelect screens, scores and ranks candidates against your job requirements — so recruiters spend less time reviewing CVs and more time talking to the right people.

Built for recruiters. Designed for faster hiring decisions.

The screening problem

Recruiters shouldn't have to read hundreds of CVs to find five great candidates.

01

Too much noise

Hundreds of applications can make it difficult to identify the strongest candidates quickly.

02

Manual screening

Recruiters spend valuable time comparing CVs against job requirements manually.

03

Inconsistent decisions

Different reviewers can interpret the same candidate differently, making screening harder to standardise.

Product

From job description to shortlist in minutes.

One workflow. Define the role, add your candidates, and review a ranked shortlist with the reasoning attached.

01

Add your job

Upload or paste the job description.

02

Add candidates

Upload multiple CVs or import candidate data.

03

AI evaluates

HyprSelect analyses candidates against the requirements.

04

Review your shortlist

See ranked candidates, scores and the reasoning behind them.

Scoring

A score is useful. Knowing why is better.

HyprSelect evaluates candidates across multiple dimensions to give recruiters a structured view of candidate fit.

Sarah Mitchell Evaluated against Senior Product Manager Strong Match

Weighted across five evaluation dimensions

Evaluation breakdown
Skills Match96%
Experience Relevance91%
Industry Fit88%
Seniority94%
Education87%
Summary

Strong match for the role. Candidate has 7+ years of relevant product experience, strong B2B SaaS exposure and most of the required technical competencies.

Scores and summaries support recruiter review. Hiring decisions remain with your team.
Ranking

See your strongest candidates first.

Every candidate sits on the same scale, so the shortlist is comparable at a glance — and each score can be opened up.

Senior Product Manager 128 candidates screened · top 5 shown Ranked by overall score
Top five ranked candidates for Senior Product Manager, with overall score, skills, experience and industry sub-scores, screening date and a recommendation.
Rank Candidate Overall Score Skills Experience Industry Screened Recommendation Actions
01 Sarah MitchellSenior PM · B2B SaaS · 8 yrs 94 96% 91% 88% Dec 4, 2025 Strong Match
02 James WilsonProduct Lead · Fintech · 7 yrs 89 92% 88% 84% Dec 4, 2025 Strong Match
03 Aisha KhanSenior PM · Marketplace · 6 yrs 86 90% 85% 82% Dec 4, 2025 Good Match
04 Daniel CooperProduct Manager · SaaS · 5 yrs 78 81% 76% 74% Dec 4, 2025 Good Match
05 Marcus LeeProduct Manager · Agency · 4 yrs 64 68% 61% 59% Dec 4, 2025 Review
Recommendations are guidance for recruiter review, not automated decisions.

Scroll the table sideways to see every column.

Insights

Go beyond the CV.

HyprSelect surfaces the signal inside candidate information — what stands out, what is missing, and how that maps to the role you are hiring for.

Strengths

Identify the candidate's strongest areas relative to the role.

Gaps

Highlight missing or weaker requirements.

Hiring insights

Give recruiters a concise explanation of why the candidate does or does not fit.

HyprSelect is a decision-support tool. It structures and explains candidate information so recruiters can review faster. It does not make hiring decisions.

For recruiters

Spend less time screening. More time hiring.

01

Faster screening

Reduce the time spent manually reviewing CVs.

02

Structured evaluation

Evaluate candidates against consistent criteria.

03

Transparent scoring

Understand what is driving each candidate's score.

04

Better shortlists

Focus recruiter attention on the candidates most relevant to the role.

Candidate data

Bring your candidates. Keep your workflow.

Start with the CVs and candidate data you already have. Connected sources are on the roadmap.

CV / resume uploadsPDF and Word documents, in bulk Available
CSV candidate importsMap your existing candidate columns Available
ATS integrationsSync roles and candidates from your ATS Planned
LinkedIn candidate exportsBring sourced candidate data into a role Planned
Hypr Select
  • 01 Parse candidate data
  • 02 Match against role requirements
  • 03 Score across five dimensions
  • 04 Explain each result
Ranked shortlist Scores, reasoning and gaps
Ecosystem

Built for the way modern recruiters source talent.

HyprSelect is designed to fit into the tools recruiters already use to discover, evaluate and manage candidates. Designed with LinkedIn-enabled recruiting workflows in mind.

01 Source

Find candidates in the channels you already use.

02 Screen

Score and rank them against the role in HyprSelect.

03 Engage

Take your shortlist back into your hiring process.

HyprSelect is an independent product and is not affiliated with, endorsed by or partnered with LinkedIn or any ATS provider. Features described as planned are not yet available.

Stop screening every CV. Start finding the right candidates.

Join the HyprSelect early-access list and be among the first to try AI-powered candidate screening.

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Privacy Policy

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A full privacy policy will be published before early access opens.

Terms and Conditions

HyprSelect is in beta. Full terms of service will be published before early access opens.

Nothing on this page forms a contract or a commitment to provide a service, and features described as planned are not yet available.

Contact

The fastest way to reach the team is the early-access list. Add your work email and we'll follow up as places open.