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Atlas Hire
AI-native technical evaluation

Your North Star
for AI-First
Hiring.

AtlasHire evaluates engineers the way AI-powered teams actually work.

See how it works
The north star

Objective talent signals in an AI-native world.

Live round types
5
Scored dimensions
8
Ways in
3
One standard for
  • Hiring teams
  • Schools
  • Candidates
The next-question window

The live HUD: four seconds of silence, turned into your sharpest question.

While the candidate talks, AtlasHire transcribes, tracks which skills you've actually covered, and suggests the next question, aimed at the gap and ready before the pause ends.

Live HUD · Session AH-8924Role: Senior distributed systems
Next-question window4-second window
Candidate audio · transcribed live
Speaker: candidate
“…so instead of locking the whole table on write, I wrapped the worker in an optimistic transaction. Under heavy contention the retry loop could cascade and saturate the connection pool if the Redis timeouts fire early.”
Suggested next questionsSelect one to queue it
Covered this roundConcurrency(covered)Data modeling(covered)Failure handling(not yet covered)Storage(not yet covered)
Signals so far+ Problem solving+ Communication+ Technical skills
HUD mode: Suggests, never decides

Illustrative session

The evaluation shift

A new standard for technical assessment

Hiring tools built for the last decade treat AI like plagiarism. Your engineers already ship with it every day.

Did they use AI?Legacy paradigm

What everyone else measures

Legacy assessments ask one question: did they use AI? It's the wrong question. The work already assumes it.

Proctoring, copy-paste lockouts, and puzzles nobody solves at work.
How well did they use it?Atlas standard

What we measure instead

Judgment, craft, and velocity with AI in the loop, read the same way for every candidate by every interviewer on the panel.

A real IDE and assistant: every AI change reviewed, accepted, or rejected is on the record.
Anatomy of an interview

The roadmap

Three steps that turn a conversation into an evidence-backed hiring decision.

  1. Workspace

    Step 1: The sandbox

    Candidates build in a real IDE with a terminal and a native AI assistant. We don't block AI; we see how well they use it.

    • Coding
    • System design
    • Code review
    • Behavioral
    schema.sql · Postgres 16
    Atlas assistant connected
    -- Task: multi-tenant schema with row-level isolationCREATE TABLE workspaces (id UUID PRIMARY KEY DEFAULT gen_random_uuid(),name TEXT NOT NULL,created_at TIMESTAMPTZ DEFAULT now());
    Prompt:“Write an RLS policy so users only see channels in their own workspace”
    Candidate reviewing the suggestion…
  2. Live interview

    Step 2: Real-time HUD

    Anyone on your team can run the technical screen. The HUD suggests what to ask next, tracks which skills are still untested, and warns you before a round ends with a gap.

    • Ranked next questions aimed at uncovered skills
    • A coverage warning before the round runs out
    Live interviewer HUD
    Session AH-8924
    // Candidate editor · app/api/webhooks/route.tsconst event = stripe.webhooks.constructEvent(payload, sig, secret);
    + Verification · just nowCandidate reviewed the assistant's change before accepting it.
  3. Fair panels

    Step 3: Calibrate

    After every loop, AtlasHire compares each interviewer's recommendation with the evidence-based score, so you can see who runs strict, who runs lenient, and coach the panel to one bar.

    Reported to you. Scores are never silently adjusted.

    Lean detected

    One interviewer's recommendations sit consistently below the evidence score for similar candidates.

    • Interviewer AAgreement 58%
      StrictStrictLenient
    • Interviewer BAgreement 91%
      StrictAlignedLenient
    • Interviewer CAgreement 64%
      StrictLenientLenient

    Agreement with the evidence score across each interviewer's recent loops. Illustrative data.

Evidence, not vibes

One scorecard for the whole panel

Every dimension is scored from what happened in the session, with the moments behind each score, so recruiters, hiring managers, and engineers read the same story.

Skill radar: Communication 82, Problem solving 88, Technical skills 64, Culture fit 58CommunicationProblemsolvingTechnicalskillsCulturefit
Skill profile · whole interview

Every scored dimension. Center = not demonstrated, outer ring = exceptional.

  1. Technical skills: Developing
  2. Communication: Strong evidence
  3. Problem solving: Strong evidence
  4. Culture fit: Developing
  5. Verification: Strong evidence
  6. AI judgment: Not yet tested
  7. Prompt & tool craft: Not yet tested
  8. AI-assisted velocity: Not yet tested

5/8 skills assessed • 3 untested

  • Strong evidence
  • Developing
  • Not yet tested

FAQ

Questions we get asked

What is AtlasHire?
AtlasHire is an interview platform that runs structured technical and behavioral interviews and scores them on consistent, evidence-backed criteria. It exists so the outcome of an interview depends on how the candidate actually performed rather than on who happened to be in the room.
How does AtlasHire score a candidate?
Every session is scored on AI Judgment, Prompt & Tool Craft, and AI-Assisted Velocity — the same three axes for every candidate. Scores are backed by what actually happened in the session — the work produced and the decisions made — rather than an interviewer's overall impression.
What kinds of interview rounds does AtlasHire support?
Coding, take-home, system design, code review, and behavioral rounds, all in one workspace.
Does AtlasHire make hiring decisions?
No. AtlasHire is a decision-support tool. It produces structured evidence and scores; the hiring decision, and responsibility for lawful and fair use, stays with the hiring team. This is stated in the Terms of Service.
How does AtlasHire use AI, and what happens to my data?
AtlasHire uses AI to run and score interviews. How it does that, what data is involved, and how long it is kept are set out in the Data & AI Use Policy at https://atlashire.ai/ai-data-use and the Privacy Policy at https://atlashire.ai/privacy.
Who is AtlasHire for?
Three groups, on one platform: hiring teams running interviews (AtlasHire Professional, app.atlashire.ai), individuals practising for interviews (AtlasHire Practice, practice.atlashire.ai), and universities and bootcamps preparing students at cohort scale (AtlasHire Educational, edu.atlashire.ai).

One engine. Three ways in.

Same evaluation engine · three workspaces
  1. 01
    I'm hiring

    Where a hiring team runs it and keeps the score.

    For Business
  2. 02
    I'm teaching

    Where a school runs it for every student in a cohort.

    For Education
  3. 03
    I'm practicing

    Where you run it yourself before a real loop.

    For Practice
Get started with Atlas

AtlasHire: the roadmap to better interviews

Wherever you sit in the process, start from the same map.

I'm teachingI'm practicing
  • • One rubric for every candidate
  • • Practice is free to start
  • • Built for hiring teams, schools & candidates
Contact us

Talk to the team.

Questions about AtlasHire, pricing, or a partnership? Send us a note and we'll get back to you at the email you provide.

We'll reply to the email you provide.