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Engineers, screened with AI

Send us the job description. We build a screening kit that maps every requirement to a question, screen each candidate against it, and send you only the people worth your interview, with a summary of what we verified.

candidates processed
4,200+
of requirements mapped to a question
100%
minutes of recruiter call, planned per candidate
25–30
person approves every move
1
A diagram of how a candidate reaches your interview: job description, screening kit, CV screen, recruiter call and review, a person approving the move, your summary, then your interview.
A sample screening kit for a senior backend engineer: each job requirement wired to the interview question that covers it.
A sample recruiter review against the kit: each requirement with a score and evidence level, one not scored for insufficient evidence, and a warning that the CV and the call disagree.
A sample candidate summary for your team: a recommendation for your technical interview, what was verified on the call, what to ask in your interview, and what is not verified yet.

A kit built from your job description

Every requirement, and every non-negotiable, maps to a question before anyone is scored.

  • The kit won't ship until every non-negotiable has a question
  • One base kit per role, adjusted for each vacancy
  • Screening stays consistent from hire to hire
Screening kit, senior backend engineerSample

Requirement

Question

  • Node.js in production
  • PostgreSQL at scale
  • Event-driven design
  • Deploys to AWS
  • English with clients
  • A service you own, end to end
  • A slow query you fixed
  • Retries and idempotency
  • How your code reaches production
  • The call itself, in English

Every requirement has a question before anyone is scored.

Every CV screened, every call planned

Each CV is scored against the kit, and the recruiter gets a plan for the call built around that candidate's gaps.

  • Must-ask questions first, then the gaps in order of priority
  • What to listen for in each answer
  • Each CV read the way an applicant tracking system reads it
Recruiter call plan, 30 minutesSample
  1. Must askNotice period, location, rate band6 minListen for: Hard stops, confirmed before anything else
  2. P1Event-driven design8 minListen for: Retries, ordering, idempotency. The CV names Kafka once, with no detail
  3. P2PostgreSQL at scale7 minListen for: Table sizes, how a slow query was found and fixed
  4. P3English with clients5 minListen for: Explains a trade-off clearly, without notes
  5. CloseThe candidate's questions4 minListen for: What they ask about the team and the work

CV parses cleanly: text layer, reading order, headings, dates

Every score shows its evidence

After the call, the candidate is assessed against each requirement, and each score says how strong its evidence is.

  • Insufficient evidence, when the call was too thin to tell
  • Where the CV and the call disagree, it is flagged
  • Hard-stop risks go to a person to confirm
Recruiter review against the kitSample
RequirementScoreEvidence
Node.js in productionHigh
PostgreSQL at scaleMedium
Event-driven designMedium
Deploys to AWSNot scoredInsufficient evidence
English with clientsHigh

CV and call disagree. The CV says the candidate led the Kafka migration; on the call they joined after it shipped.

A summary you can trust

You get what we verified, questions for your technical lead, and what only your interview can confirm.

  • Never claims depth that only a technical interview could verify
  • Questions aimed at what the recruiter call could not confirm
  • Every recommendation, including a rejection, confirmed by a person
Candidate summary for your teamSample

Senior backend engineer, candidate A

Based on the recruiter review

Recommended for your technical interview. Confirmed by our recruiter.

Verified on the call

  • Owns two Node.js services in production
  • Fixed a slow reporting query on a large table
  • Clear, confident English with clients

Ask in your interview

  • How would you make a payment webhook safe to retry?
  • What did you change in the Kafka setup, and why?
  • How does your code reach AWS today?

Not verified yet: depth of system design. Only your interview can confirm it.

Built on our own AI agents

The pre-screen runs on agents and checks we built and measure ourselves. Every one of them advises; a person decides.

  • Kit generator with a ship gate

    Turns a job description into a screening kit, and won't ship it until every non-negotiable requirement maps to a question.

  • CV screen and call plan

    Scores the CV against the kit, flags hard-stop risks for a person to confirm, and writes a 25 to 30 minute plan for the recruiter call.

  • ATS validation

    Reads every CV the way an applicant tracking system does: text layer, reading order, section headings, dates and contact details. It advises and never rejects.

  • Candidate profiles

    A structured profile with an engineering level, every fact traced to its source, and a CV in your branding that passes the same ATS check.

  • Measured against real decisions

    Every advisory is logged against the recruiter's and the client's decision, so the agents are measured on real outcomes.

For teams hiring engineers

  • Hiring managers

    Spend interview time only on candidates who match the role.

  • Technical leads

    Start every interview with questions aimed at that candidate's gaps.

  • Outstaffing companies

    Put candidates in front of your clients with a summary they can trust.

Frequently asked questions

Which roles do you cover?

Backend and web engineering roles.

Does AI reject candidates?

No. The AI gives advice. Our recruiters confirm every decision, including every rejection.

How is candidate data handled?

We agree data processing terms with you before the first candidate is screened.

Can we keep using our ATS?

Yes. We work from your job description and send each candidate's summary to attach in the tools your team already uses.

Send us your next engineering vacancy

Share the job description and we'll show you the screening kit we'd build for it.