industries · technology

Filter by what they deliver,
not what their CV says.

Strong tech profiles have ten offers at once. You can't drag out the process or bore them with generic tests — but you also can't hire without seeing them actually build something.

technical screening · liveklyria.engine

10x

offers a great dev has at any one time

5

days saved vs. 5 interview rounds

100%

verified deliverables, zero templates

0

pedigree bias: code is what gets scored

This is what a tech process looks like with Klyria.

A process built for this sector — AI sets it up and you tweak it in one click.

  1. 01

    CV screening

    Real stack and experience, no inflation

  2. 02

    Language test

    JS, Python, SQL or React depending on the role

  3. 03

    Take-home

    AI-designed, weighted criteria

  4. 04

    Anti-fraud

    Detects AI, copy-paste and tab switches

  5. 05

    Avatar interview

    Async first round, STAR analysis

  6. 06

    Final technical + copilot

    Your tech lead, with suggested follow-up questions

What hurts today.

01

The CV lies or exaggerates

Inflated tech stacks, rounded-up years: the paper doesn't tell you if they can actually do the work.

02

Endless processes

Five rounds and two weeks of scheduling: by the time you decide, they've already accepted another offer.

03

Pedigree bias

Filtering by university or previous employer leaves great self-taught profiles out in the cold.

Every decision, measured and auditable.

app.klyria.ai/analytics

insight ia Tu pipeline generó 154 candidaturas pero solo 24 entrevistas (16%). Acelera la criba donde bajó a 40 candidatos, o ajusta los criterios para subir ese volumen.

Candidatos

1.284

+18%

Time-to-hire

11 d

−42%

Pass rate

23%

+5pt

Coste/hire

412€

−61%

embudo de conversión

Aplicaciones
100%
Criba CV
38%
Tests
19%
Entrevista IA
9%
Finalistas
4%

contrataciones / mes

what we evaluate here

The signal is in the code, not the conversation.

Every candidate goes through a real test and unique assessments. What we evaluate in tech:

  • 92
    Technical problem-solving
  • 88
    Code quality
  • 74
    Architecture
  • 90
    Logic
  • 68
    Communication
  • 84
    Autonomy
  • 71
    Collaboration
  • 65
    Culture fit

ideal profile fingerprint for this sector · no name, no photo

Real take-home

Take-home or case study for the role, with weighted criteria.

Language and logic

JS, Python, SQL, React + reasoning, selected by AI.

AI anti-fraud

AI-generated answers, copy-paste and tab switches detected.

Blind evaluation

The deliverable is scored without seeing a name or pedigree.

«The best signal from a developer isn't where they worked. It's what they build when you give them a problem.»

why the take-home beats the CV filter

Hire for what they build,
not how well they talk about it.