One role, one task, one standard.
Every candidate for a role works the same task in an isolated cloud environment, and every result is scored the same way, with no panel and no rater to drift between candidates. The technical stage stops depending on who happened to run it.
Camille Durand
DevOps assessment
No integrity flags
Camille Durand completed the lab2m
Report ready for reviewjust now
Hugo accepted your invitation1hA hiring process you cannot describe is one you cannot defend
Without Scalyz
With Scalyz
What is at stake
You are the one who has to stand behind the process
When a decision is questioned, the answer cannot be that it depended on which manager ran the interview that day.
What you own
The process, not the tool
You are not buying a feature. You are buying something you can describe, apply the same way every time, and put your name behind.
What you need
The same bar, every time
A technical stage that changes with the interviewer is one you cannot defend when a candidate or a manager asks why.
What you can show
A consistent record
Every candidate for a role took the same task and was scored the same way. That is a sentence you can say out loud in a review.
Live in an afternoon
Three steps from the job post to a shortlist you can defend, with no screening calls.
Backend hiring, July
Open
6 invited · 4 completed
Closes Friday, 18:00
Invite the whole list at once
You pick the test and the deadline, then send your whole applicant list at once, by email, CSV, or a shareable link.
Live environment
Running- vmlab-vm-01Ready
- svcapi-serverReady
- lbgatewayProvisioning
2h 12m left of the 3h limit
Candidates work when it suits them
Each candidate gets their own machine, a real one, with a real task already loaded.
Camille Durand
DevOps assessment
No integrity flags
The shortlist ranks itself
Scoring runs automatically against the task you set, so the ranking builds as candidates finish.
Camille Durand
DevOps assessment
No integrity flags
Campaign results
- 1
- 2
Lucas Bernard77
- 3
The same task, scored the same way, for everyone
One task per role. Every candidate works it in an isolated cloud environment, and the result is scored automatically, so there is no human rater deciding one candidate more generously than the next. How that scoring is defined, our validation approach is written up in plain terms.
- The same task for everyone on a role, scored the same way for each
- Scored automatically on the end state of a real system, so there is no rater variance
- Every candidate for the role gets an isolated cloud environment of their own
The questions we get
Straight answers on how the tests, the scoring and the credits actually work.
What is a Scalyz lab, exactly?
A real virtual machine with a real mission, not a quiz. The candidate works with the same tools they'd use on the job, and the session is recorded so you can review the evidence later.
Who scores it?
Automatically. The checks run against what the candidate delivered, and you get a report broken down skill by skill, so no one on your team grades a thing by hand.
Can they cheat with AI?
A chatbot can suggest commands, but it can't run a live system for the candidate. The mission has to be done on the machine itself, and any cheating signals come with context, so you can judge them yourself.
What do I pay?
In credits: one per candidate. A credit is reserved when you send an invitation and released if it expires unused. You pay per candidate tested, never per user.
Can I bring my own exercise?
Yes. Upload your files as a .zip, rename the mission to match your role, and run it yourself for one credit first. What you tested is exactly what candidates get.
What is it like for candidates?
On their own time. They start when it suits them, work with real tools on a real machine, and finish in one sitting. It runs in English and French.
Make the technical stage consistent, and defensible
Book a demo and we will run it on one of your open roles.
One credit per candidate, reserved on send, released on expiry, no seats
