Rank candidates with evidence, not intuition.

Every candidate, ranked and explained - in minutes, not hours of manual screening.

Layers on top of your ATS - nothing to replace, nothing to migrate.

See how scoring works
ZibraAI candidate ranking dashboard
The problem

Your ATS organized the pile. It never told you who's worth calling.

Applying got easier. Deciding didn't. Every opening brings hundreds of applicants - and your ATS tracks them all without ever telling you which five deserve a call.

The cost of getting it wrong

23 hours screening per hire, €5,400-€11,000 in cost, and 36 days on average before the role is filled.iSource: SHRM Human Capital Benchmarking Report

Too many CVs, too subjective

Every opening brings hundreds of applicants, and two recruiters reading the same CV can reach two different verdicts.

Limited screening time

Real signal gets skimmed in seconds while strong candidates slip through the cracks.

Inconsistent evaluations

Without a shared framework, rankings shift depending on who's reviewing and when.

Zibra solves this.

Why Zibra is different

Your ATS tracks candidates. Zibra tells you who's worth your time.

Zibra is the decision layer for hiring - every ranking explainable, every call staying with your team.

Multi-dimensional evaluation

Experience, culture, logistics and behavior - scored together, not just a keyword match on a resume.

Transparent, explainable AI

Every score traces back to the evidence behind it - no black box, no unexplainable ranking.

Recruiters stay in control

Zibra ranks and recommends - it never rejects. The hiring decision is always yours.

Backed by NLP research, not keyword search

Scoring runs on semantic language models validated against real hiring outcomes - not keyword matching.

Integrations

Keep your ATS. Upgrade your hiring decisions.

We integrate with every major ATS - nothing for your team to set up. Every scored candidate lands back in your ATS as a PDF recapping their profile and how they scored.

Zero setup required

We connect to your ATS on our side - nothing for your team to configure.

Ranking, where you already work

Every applicant's score appears right where you already review them.

PDF recap included

Each candidate lands back in your ATS with a PDF recapping their profile and score.

Product overview

Every candidate scored across what matters

Four scoring dimensions - experience, culture, logistics and behavior - rolled into one ranked shortlist.

Top Skills7
Databricks
Apache Spark
PySpark
Spark SQL
Delta Lake

Quickly identify candidates who've solved similar problems

Years, roles and trajectory mapped against what the job actually requires.

Values Summary
Working somewhere that invests in training, predictable scope on client engagements, and direct feedback from senior engineers. A well-organised consulting team with clear engagement scoping and some flexibility on remote days.

Know if they'll actually fit before you meet them

Writing samples, references and public work weighed for team fit.

Logistics Check8 fields
Salary expectation€52k–€65k
Working modelHybrid, 2 days office
Visa sponsorshipNot required
Notice period3 months !

Instantly spot salary, visa and location mismatches

Salary, location, visa and availability checked upfront - dealbreakers surface before anyone books a call.

Top Traits
Collaboration
Process Adher…
Directness

Understand how they'll collaborate before the interview

Interview transcripts scored for the traits that matter for this role.

Explainability

Every recommendation comes with evidence

Every score traces back to the evidence behind it. No black box, no guesswork.

Key Signals
Why this candidate ranked where they did
9 flags
CollaborationBehaviour
Job expects high collaboration, candidate scores low
Behavioural blocker
InitiativeBehaviour
Job expects high initiative, candidate scores low
Behavioural blocker
!DatabricksSkill
Important capability gap for this role
Significant level gap
!Apache SparkSkill
Below the expected operating level
Below required level
!Remote mismatchTerms
Terms and logistics review
Worth reviewing

Score breakdown

Click into any candidate to see exactly why they ranked where they did, dimension by dimension.

LU
l.vandenberg@example.com
Candidate profile · #5
View profile
Important gaps detected
Partial match with strong PySpark expertise. Biggest gap is limited Databricks and Spark experience.
✅ Strengths
  • Medallion architecture
  • Delta Lake expertise
⚠️ Concerns
  • Limited hands-on Databricks experience
💡 Interview focus
  • Databricks platform specifics

Scannable, not a wall of text

Every candidate gets a plain-language breakdown - strengths, concerns and interview focus - so recruiters can scan it in seconds, not read a paragraph.

Built for the EU AI Act

Recruitment AI is classified as high-risk under the EU AI Act. Zibra is designed for that reality: documented scoring logic, traceable evidence, and human oversight throughout.

Recruiters decide, always

Zibra ranks and recommends - it never rejects. Every hiring decision stays with a human, with the reasoning in front of them.

GDPR-first candidate data

Explicit candidate consent at intake, data used only for the role applied to, and full deletion on request.

Interview prep

Never start another interview unprepared

Zibra does the homework before the call - so recruiters open with confidence instead of a cold read of the resume.

JM
Jordan Miles
Candidate profile · #12
Pre-call brief
Move forward confidently
Strong alignment · ready for screening call
Strengths
Cloud migrationTeam leadership
Gaps
Databricks depth

A verdict before you dial

Every candidate arrives with a plain-language read on strengths and gaps, so you know exactly what to probe on the call.

Talking points, ready-made

Key signals and suggested interview questions are queued up in advance, tuned to what actually matters for the role.

Suggested Interview Questionsi
"How familiar are you with Databricks and Delta Lake?"
SkillDatabricks
"What's your experience with Apache Spark in production?"
SkillApache Spark
"When you see a process that could be better, what do you do?"
TraitInitiative
Workflow

Set up your ranking workflow

As easy as pasting the job description you already have - nothing new to write.

Set up

Paste the job description you already have - nothing new to write.

Tailored intake

Zibra parses the role and builds a tailored intake around what matters most.

Rank

Every applicant is scored and ranked, with the evidence behind each score.

Interview

Walk into the call with a pre-call brief and tailored questions ready.

Hire

Make the call with confidence - the final decision always stays with you.

Pricing

Pilot partners get founding-member pricing

No rate cards yet - just a straightforward deal for the teams who build this with us.

Limited spots
Pilot Partner
Founding-member pricing

We're onboarding a small group of pilot teams. Run Zibra on your live requisitions and lock in founding-member pricing when we launch.

Limited for the next 10 pilot companies - reserved for teams willing to give product feedback.

  • ✓ Full platform access during the pilot
  • ✓ Explainable scoring across all four dimensions
  • ✓ Hands-on onboarding with the founding team
  • ✓ Your feedback shapes the roadmap
  • ✓ Founding-member rate locked in at launch
Book a demo
Help & Support

Frequently asked questions

Everything recruiters and talent leads ask before rolling Zibra out to their team.

Does AI reject candidates automatically?

No. Zibra ranks and recommends - it never rejects. Every hiring decision stays with a recruiter, with the full reasoning in front of them.

How are rankings calculated?

Zibra scores every applicant across experience, culture fit, logistics and behavioral traits, and shows the evidence behind each score - no black box.

Does Zibra replace our ATS?

No. Zibra isn't competing with your ATS - it layers on top to rank and evaluate the candidates you're already collecting, so you keep the system you have.

Is candidate data secure?

Candidate data is encrypted in transit and at rest, and never used to train models outside your account. SOC 2 is currently in progress.

Is it GDPR compliant, and how does Zibra fit the EU AI Act?

AI used in recruitment is classified as high-risk under the EU AI Act, which requires transparency, human oversight and traceability. Zibra is built around exactly that: recruiters make every decision, every score is explainable down to the evidence, and the reasoning is documented so you can show your work. Candidate consent is captured at intake, data is used only for the role applied to, and full deletion is available on request.

Give your hiring team a better first read

Rank every candidate across experience, culture, logistics and behavior - starting this week.