Talent intelligence layer

AI narrows the field.
People make the call.

Talyvro reads every application, tests real skill and interviews at scale — then hands your team a shortlist where every score is bound to the evidence behind it. The decision stays human, and stays on the record.

See how it works
No automated rejectionExplainable scoringCandidate consentFull audit trail
Decision trailSample record
01Role definedSenior Backend Engineer
02Sourced214 profiles · 61 internal
03Screened46 passed · answers stored
04AI interview12 completed · transcripts kept
05Dossier5 scorecards · evidence-bound
06Human decision1 offer · signed by recruiter
Open roles on the public board: 13Jobs →

Most AI hiring tools decide for you. Ours shows its work.

iEvidence

Every score points back to the answer, the transcript line or the verified record it came from. Open any number and read the source.

iiConsent

Candidates control when their identity is disclosed. Anonymous review is the default, and every reveal is logged.

iiiAccountability

AI ranks, explains and asks. It never rejects. Advancing or declining a candidate is an act by a named person.

01The system

One continuous flow, from hiring intent to a signed decision.

Seven steps. Six of them run without anyone opening a spreadsheet. The seventh is a person, and the platform is built so it cannot be skipped.

01Describe needPlain language
02Define roleJD + scorecard
03Find talentBefore publishing
04ScreenSkill, not keywords
05InterviewAdaptive AI
06Assemble dossierEvidence-bound
07DecideHuman, on the recordHuman decision
See the whole system →
02Role definition

Describe the person you need. Get a role, a scorecard and a market read.

One paragraph in your own words becomes a structured job description, weighted evaluation criteria and an honest view of how many people are actually available at that level.

Weighted criteria are set before the first CV arrives — the bar does not move to fit the applicants.

Publish to your careers page, the public board and embedded widgets from the same record.

Open the product →
New roleSample
Describe the role
"Senior backend engineer, 5+ years, fintech preferred. Kafka and PostgreSQL are required. Budget 4,000–5,500 AZN."
Generate role ↵
Generated

Senior Backend Engineer

Full-time · Hybrid, Baku · Engineering

Scorecardweight
Distributed systems35%
Data modelling25%
Domain: fintech25%
Ownership15%
Market read64 matching profiles · 19 open to move
03Discovery & matching

Find the people who never applied.

Talyvro searches the talent graph before the ad goes out — your own employees included — and explains every match by competency rather than keyword overlap.

Candidates appear anonymised until they agree to be seen.

Internal candidates are surfaced next to external ones, not after them.

MatchesSample

Candidate #4471

Senior Software Engineer · 8 yrs

Internal candidate
Distributed systems92
Data modelling88
Domain: fintech95
Verified skills61
Why this match

Seven of eight core competencies evidenced. Four years in financial services. Open question: large-scale experimentation.

04Adaptive interview

An interview that follows the answer.

Video, voice, text or a technical case. Each question is chosen from what the candidate has just said, and every claim is checked against the record instead of taken at face value.

Runs in Azerbaijani, English or Russian, at any hour, without a recruiter in the room.

The transcript is the evidence — quoted back in the scorecard, never summarised away.

How the interview works →
AI interviewQuestion 4 of 10
Candidate said

"We increased checkout conversion by 17% over one quarter."

Follow-up

How did you establish that the 17% was statistically significant?

Chosen from the previous answer · not a fixed script

Extracted evidence
  • Experimentation — claim, unverified
  • Stakeholder management — evidenced
05Handoff

What your hiring manager actually receives.

Not a ranking. A dossier: the scorecard, the evidence behind every criterion, the questions still open, and a gate that only a person can pass.

Each criterion links to the exact answer or transcript line it was scored from.

Advancing, declining and revealing identity are separate, logged, named actions.

Candidate dossierSample

Candidate #4471

Stage · human interview
Scorecard
Distributed systems92 · 4 evidence
Data modelling88 · 3 evidence
Domain: fintech95 · 5 evidence
Verified skills61 · 1 evidence
Open questions

Experimentation depth · notice period

Decision gate

AI cannot advance or reject. A named recruiter must act.

06After the hire

Hiring data does not stop being useful on day one.

The same record follows the person into the organisation — so the promise made at interview can be measured against what actually happened.

Talent passport

Verified employment, education and skills the candidate owns and carries between roles.

Performance

Goals, feedback and reviews connected back to what was assessed at hiring.

Internal mobility

Readiness for the next role, and the skill gap standing in the way, for every employee.

07Governance

Built to survive a procurement review.

Banks, telecoms and public institutions ask the same questions. These are the answers, and they are enforced in the product rather than promised in a slide.

Data isolationTenant-scoped storage with no cross-tenant read path
Access controlRole-based permissions and single sign-on (OIDC)
AuditImmutable log of every consequential action, AI included
Automated decisionsNone — rejection always requires a named person
Candidate rightsConsent-gated identity, anonymous mode, export and erasure
RegulationEU AI Act high-risk posture with documented risk management
LanguagesAzerbaijani, English and Russian across product and notifications
DeploymentManaged cloud or a dedicated instance
Read the governance detail →
Pricing

Three ways to start.

Priced on hiring volume and organisation size, not on how many people open a browser tab. Every plan includes the AI interview, the audit log and all three languages.

Starter

One hiring team getting off spreadsheets.

  • Applicant tracking
  • AI role definition
  • Skill screening
On request
Growth

Recruiting at volume across several functions.

  • Everything in Starter
  • Talent discovery
  • Adaptive AI interview
On request
Enterprise

Regulated organisations with a workforce to steer.

  • Everything in Growth
  • Workforce intelligence
  • Single sign-on, dedicated instance
On request
Questions

What buyers ask first.

No. The AI ranks, scores and explains. Moving a candidate forward or declining them is an action taken by a named user, and it is written to the audit log with the evidence that was on screen at the time.

Contact sales

See it run on one of your open roles.

A working session, not a slide deck: we take a real vacancy, define it in the product, and walk through the shortlist and the evidence behind every score.

Jobs
  1. You bring one open role
  2. We define it in the product, live
  3. The role and the shortlist stay yours
  4. 30 minutes, with your data
Talyvro AI