Hire builders,
not prompters.

Quala evaluates how candidates work with AI coding agents — recording the full session and scoring AI collaboration, prompt and code quality.

Trusted by engineering teams at

  • Antler
  • Entrepreneur First
  • Techstars
  • a16z
  • Y Combinator
  • Antler
  • Entrepreneur First
  • Techstars
  • a16z
  • Y Combinator

From first prompt to hiring decision.

Step 01

Pick a role-based task

Choose from a library of real engineering tasks: fix a backend bug, build a frontend feature, refactor a service, debug a production-like incident. Or bring your own repo and we'll convert it.

Task library: pick a role-based bug
Step 02

Candidate works in the sandbox

Real codebase, terminal, tests. Candidate picks Claude Code, Cursor, Copilot, or our built-in agent. AI is on. The whole point is to use it well.

Sandbox: editor and Claude Code chat
Step 03

We log everything

Every prompt, every AI response, every edit, every test run, every keystroke, every minute. Session replay scrubs through the entire engagement.

Session telemetry: total time, prompts, edits, tool usage
Step 04

Evidence-based report

Composite score across prompt clarity, verification discipline, debugging behavior, code quality, and speed. Risk flags. Comparison against role expectations. Ready before your engineering interview starts.

Candidate report: composite score, Strong hire verdict, metric breakdown

Who it's for

Built for teams where AI agents are already the norm.

Quala is built for teams where shipping with AI agents is already the norm and where hiring needs to test for exactly that.

  • Scaling startups

    • You're hiring 3–10 engineers a year.
    • Your team already builds with Claude Code, Cursor, and Copilot.
    • Quala shows you which candidates can do the same — with evidence, before anyone reaches a technical interview.
  • Enterprise engineering organisations

    • You hire continuously — 10+ engineers a year, across multiple teams and pods.
    • One consistent, evidence-based bar — every pod screens the same way.
    • Scoring plugs into Ashby, Greenhouse, or Lever.

Integrations

Plugs into the tools you already use.

Candidates work inside the sandbox with the agent they prefer. You get scores back inside the ATS your hiring team already lives in.

ATS & hiring stack

  • Ashby
  • greenhouse
  • Lever
  • zapier

AI agents in the sandbox

  • Claude Code
  • Cursor
  • Copilot
  • Codex

Pricing built for hiring teams.

Starter

$499/ month

Billed monthly · cancel anytime

For teams that just started hiring at volume.

  • Up to 3 hiring seats
  • 50 assessments per month
  • Standard task library
  • Email support
Most popularGrowth

$1,499/ month

Billed monthly · cancel anytime

For mid-size engineering teams hiring continuously.

  • Up to 10 hiring seats
  • Unlimited assessments
  • Custom task library + bring-your-own-repo
  • ATS integration (Greenhouse, Lever, Ashby)
  • Candidate benchmarks (e.g. "top 15% prompt clarity, backend")
  • Slack alerts
  • Priority support
Scale

Custom

From ~$3,000 / month

For organizations hiring 100+ engineers a year.

  • Unlimited seats and assessments
  • SSO and SCIM
  • Custom rubrics by team and level
  • EEOC + GDPR compliance pack
  • Dedicated CS manager
  • API access

Common questions

Hire engineers, not test-takers.