Video interview with transcription
An AI interviewer talks in real time with a natural voice and transcribes live.
match a skill
The right technical match,
measured by real judgment.
An AI video-interviews every candidate in real time: it proves whether they truly master what their resume claims and hands you competency scoring. You meet only the finalists. You define each role's questions. Self-serve: any recruiter can evaluate technical talent — no scheduling, no card.
The product
From a real conversation to a decision backed by data
Backend Engineer
Competency evaluation
Overall score8.4
Problem solvingLevel A · 8.7
CommunicationLevel A · 8.4
TeamworkLevel B · 7.6
AdaptabilityLevel B · 7.2
Recommended to advance to the next stage
The problem
Everyone ships clean code. Who actually understands what they shipped?
Resumes promise, and almost no one checks if it's true; take-homes fall to anyone with AI, and whiteboards reward memory over judgment. Manual filtering doesn't scale and burns out your team. The real signal is how each candidate reasons, decides and communicates.
How it works
From job post to finalists, in four steps
An AI-assisted hiring process end to end: define what matters per role, the AI interviews, verifies and scores, and surfaces only the best. You decide.
- 01
Post the role and share the link
Set questions, focus areas and competencies per role; candidates apply from a link via a multi-step form.
- 02
The AI interviews each candidate
A natural-voice interviewer talks in real time with live transcription. Async, on the candidate's schedule, no scheduling.
- 03
Get competency scoring and the transcript
When the interview closes, you get competency scoring with A/B/C/D levels, analysis, strengths and a recommendation.
- 04
Decide with real signal and advance the best
Compare everyone on the same signal while the pipeline advances finalists by thresholds.
What it really evaluates
Real capabilities, no promises we can't keep
Every capability exists today. All the signal comes from one conversation: interviewed and scored.
Competency-based scoring
At the close: a 0-10 score with A/B/C/D levels, per-question analysis, strengths, improvement areas and a final recommendation.
// competency scoring, after the interview
{ "competency": "Problem solving",
"level": "A", "score": 8.7 }
+ Compare candidates with your team
Clear reports and a candidate database with tags and filters to decide on the same signal.
Consistent evaluation
The same structured interview for everyone, scored on uniform, auditable criteria.
Async, on the candidate's schedule
Everyone interviews when they can, no calendars to coordinate, no days lost lining up times.
One engine, any tech role
One engine evaluates developers, data, security, DevOps and QA on the competencies that matter per role; your questions add the depth your stack demands.
Roles
One engine, any tech role
Configure questions, focus areas and competencies per opportunity, and one engine evaluates developers, data science, cybersecurity, DevOps, QA and product. The ~15 built-in competencies cover the cross-cutting basics — communication, problem solving, adaptability, teamwork —; your custom questions add each role's technical depth.
Customizable per roleDevelopment
Technical decisions and problem solving, with your questions for the depth your stack demands.
Data science
Analytical rigor and reasoning with data, scored on the competencies you prioritize.
Cybersecurity
Risk judgment and decisions under uncertainty, by the focus areas you define.
DevOps
Reliability and incident handling, with questions that mirror your real operation.
Why it changes your process
Decide with real signal, less bias and much faster
Screen hundreds of applications without overloading your team or losing good candidates to lack of time.
Competency signal
The conversation proves whether the candidate truly masters what their resume claims; you decide on judgment, not keywords.
Less bias
The same interview for everyone, with consistent, auditable competency scoring.
Much faster
The AI interviews everyone and has the scoring ready, so your team only meets the finalists.
Why trust us
Honest with your data and about what the product does
You start free, your data stays protected, and we measure real judgment — with full transparency about what the product does.
Your data, protected
Encryption in transit and at rest, least-privilege access, and retention you control. Candidates know the interview is recorded and AI-scored.
Start with no risk
A real Free plan, no credit card. You pay per interview, not per seat, and scale whenever you want.
No promises we can't keep
We don't run automated analysis of your code: we measure real judgment in an interviewed, scored conversation — and we're explicit about what each score evaluates.
Pricing
Start free and scale the same flow
One dimension: AI interviews per month. Pay per interview, not per seat. Start free, no card.
Free
To get started
$0 /mo
- 5 AI interviews per month
- 1 active process or opportunity
- Competency scoring
- Interview transcript
- 1 user
Starter
For growing teams
$20 /mo
- 15 AI interviews per month
- Unlimited processes
- Scoring + reports and per-question analysis
- Up to 3 users
Pro
$50 /mo
- 40 AI interviews per month
- Everything in Starter
- Candidate comparison
- Priority support
- Up to 5 users
Extra interviews at $2 each. More volume or a full team? Let's talk and tailor a plan.
FAQ
Frequently asked questions
The questions we hear most about how matchaskill evaluates technical talent.
What is matchaskill?
matchaskill video-interviews every candidate with an AI agent that talks in real time and transcribes live, and proves whether they truly master what their resume claims. When it ends, you get competency scoring (0-10, A/B/C/D levels), so your team only meets the finalists. It's self-serve: any recruiter can evaluate technical talent on their own, without a big HR team.
Is it okay for candidates to use AI during the evaluation?
Yes. Every engineer uses AI today, and we think that's right. matchaskill doesn't penalize it: it measures the judgment behind the work — whether the candidate understands what they ship, decides well and can explain it — through a conversation, not a test that can be copied.
Does matchaskill analyze the candidate's code or repository?
No. matchaskill does not run automated analysis of code or repositories. All evaluation comes from the video interview and competency scoring. In the technical challenge the candidate submits their work and an agent talks through their decisions: we measure understanding, not the code.
Which technical roles can it evaluate?
One engine evaluates development, data science, cybersecurity, DevOps, QA and product. You configure the questions, focus areas and competencies per role, and the evaluation adapts to what matters in each one.
How does the AI interview work?
It's async: the candidate joins by link whenever they can, no scheduling. A natural-voice interviewer talks in real time and transcribes live. When it closes, you get competency scoring, per-question analysis, strengths and a recommendation.
How much does matchaskill cost?
Three plans: Free ($0/mo, 5 AI interviews), Starter ($20/mo, 15 interviews) and Pro ($50/mo, 40 interviews), plus extra interviews at $2 each. Start free, no credit card, and pay per interview, not per seat.
How is it different from an ATS or a traditional technical test?
An ATS sorts resumes by keywords, and a traditional technical test can now be solved by anyone with AI. matchaskill gives real competency signal: the same structured interview for everyone, scored with uniform, auditable criteria, so you decide with less bias and far faster.
Start hiring for judgment today
Create it in minutes and run your first process free: any recruiter can evaluate technical talent, no scheduling, no card.
Let's talk
Tell us about your hiring process
Leave your details and we'll show you how matchaskill fits your team. We'll get back to you soon.