Built for the age of AI-screened applications

Your CV is read by software before any human. Make sure it survives.

Most applications are filtered out by screening systems before a recruiter ever opens them. CValuate scores your CV the way those systems do, then tells you exactly what to fix, line by line, so you start getting callbacks.

Analyse my CV freeSee a real sample report

Free quick scan with starting credits · No credit card required

Deepest analysis powered by Fable 5

Quick scan in about a minuteYour CV stays privateConcrete rewrites, not vague tips

Sample report snippet · fictional candidate

Sample preview

Daniel Mercer

Shortlist
79/ 100
Now 79Potential 87Beyond CV edits → 100

▮ Automated screening report

SHORTLIST

The candidate is a near-perfect fit: 7+ years backend experience with deep C# / .NET expertise, extensive SQL Server and payments domain knowledge, proven track record owning payment APIs at scale, and active on-call experience. Currently technical lead on a payments platform processing 1.4M transactions/day. All must-haves met; nice-to-haves covered (AWS, Kubernetes, mentoring).

Decisive factors

  1. 1.Exact domain match: current role is technical lead for core payments API (card, open banking, direct debit) with 99.98% availability and 1.4M daily transactions
  2. 2.All must-haves exceeded: 7+ years backend, expert C# / .NET 8, SQL Server optimization and design, REST API production ownership (v3 API), regulated fintech environment, end-to-end service ownership and testing
  3. 3.Nice-to-haves: AWS (EKS, EC2, RDS, S3), Kubernetes, Docker, demonstrable mentoring (5 engineers, 2 promotions), event-driven patterns (RabbitMQ, SQS/SNS)

Keyword scan

C# / .NET: found (7+ years, .NET 8, ASP.NET Core, Entity Framework)SQL Server: found (query tuning, indexing, stored procedures, data modelling)REST APIs: found (designed v3 API, OpenAPI 3.1, production at scale)Payments / fintech: found (current role payments platform, previous FCA-regulated fintech, Fenwick Payments)Regulated domain: found (payment processing, FCA-regulated, high-availability systems)Automated tests: found (TDD, consumer-driven contract testing)AWS: found (EKS, EC2, RDS, S3, Lambda, CloudWatch)Containers / Kubernetes: found (Docker, EKS, Kubernetes)Mentoring: found (5 engineers mentored, 2 promoted)On-call / production support: found (follow-the-sun rotation, incident response, runbooks, SLOs)

Simulated by a separate AI screening agent that saw only your CV and the job description: the same view a high-volume automated screener gets. It is deliberately colder than the coaching report above.

Not the full report

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75%

of CVs are rejected by applicant tracking systems before a human ever reads them

7 sec

is all the time a recruiter spends on a first scan, if your CV even gets that far

0

feedback you get when you're rejected: you never find out what went wrong. Until now.

How it works

From upload to action plan in three steps

No forms, no templates to fill in, no hour-long onboarding. Upload what you already have and get answers.

1

Upload your CV

Drop in a PDF or Word file, or type or paste the text. It takes seconds and your CV stays private to your account.

2

Choose your analysis

Pick CV Review for a full, honest audit of your CV — or Job Match to paste a job description and see exactly how you stack up against that role. Advanced Reasoning — our deepest analysis, powered by Fable 5.

3

Get your action plan

A clear score, honest strengths and weaknesses, and concrete fixes — from line-by-line rewrites to the exact requirements you're missing — before your next application.

A real report

This is what you actually get

Not a demo mockup — these are live sections from our sample report on a fictional candidate, Daniel Mercer.

What an AI screener sees

▮ Automated screening report

SHORTLIST

The candidate is a near-perfect fit: 7+ years backend experience with deep C# / .NET expertise, extensive SQL Server and payments domain knowledge, proven track record owning payment APIs at scale, and active on-call experience. Currently technical lead on a payments platform processing 1.4M transactions/day. All must-haves met; nice-to-haves covered (AWS, Kubernetes, mentoring).

Decisive factors

  1. 1.Exact domain match: current role is technical lead for core payments API (card, open banking, direct debit) with 99.98% availability and 1.4M daily transactions
  2. 2.All must-haves exceeded: 7+ years backend, expert C# / .NET 8, SQL Server optimization and design, REST API production ownership (v3 API), regulated fintech environment, end-to-end service ownership and testing
  3. 3.Nice-to-haves: AWS (EKS, EC2, RDS, S3), Kubernetes, Docker, demonstrable mentoring (5 engineers, 2 promotions), event-driven patterns (RabbitMQ, SQS/SNS)

Keyword scan

C# / .NET: found (7+ years, .NET 8, ASP.NET Core, Entity Framework)SQL Server: found (query tuning, indexing, stored procedures, data modelling)REST APIs: found (designed v3 API, OpenAPI 3.1, production at scale)Payments / fintech: found (current role payments platform, previous FCA-regulated fintech, Fenwick Payments)Regulated domain: found (payment processing, FCA-regulated, high-availability systems)Automated tests: found (TDD, consumer-driven contract testing)AWS: found (EKS, EC2, RDS, S3, Lambda, CloudWatch)Containers / Kubernetes: found (Docker, EKS, Kubernetes)Mentoring: found (5 engineers mentored, 2 promoted)On-call / production support: found (follow-the-sun rotation, incident response, runbooks, SLOs)

Simulated by a separate AI screening agent that saw only your CV and the job description: the same view a high-volume automated screener gets. It is deliberately colder than the coaching report above.

Line-by-line rewrite

Original

Participated in the on-call rotation covering 30+ services; diagnosed and fixed a recurring connection-pool exhaustion issue that had caused three outages in the preceding quarter.

Improved

Diagnosed and fixed a recurring connection-pool exhaustion issue that had caused three outages in the preceding quarter, while on-call across 30+ services.

Why: The fix is the achievement; 'Participated' is a passive opener that makes a screener skim past a genuine production-debugging win.

Job requirements coverage

Solid relational database skills, ideally with SQL Server

Met
rewrote the matching job from row-by-row processing to set-based SQL Server operations, cutting the nightly run from 6.5 hours to 40 minutes

Deep SQL Server optimisation evidence across two roles — a screener will tick this instantly.

Comfortable owning services end to end and writing automated tests

Partial
introducing consumer-driven contract tests that caught breaking changes before release

Ownership is obvious, but the only explicit testing evidence dates to 2019-2021 at Northlight; 'TDD' sits undemonstrated in the skills list.

Work with product managers to break down requirements and ship iteratively

Unclear

No bullet mentions product managers or requirements breakdown; almost certainly true of your roles, but a screener cannot verify it from this page.

What you get

Review your CV. Match it to the job. Or both.

Two analyses, one goal: more interviews. CV Review gives you the expert-level audit a career coach would charge hundreds for. Job Match tells you, before you apply, whether a specific role is yours to win.

Clear scores, not gut feelings

CV Review rates your CV out of 100 on quality, structure and ATS readiness. Job Match scores your suitability for a specific role. Either way, you know exactly where you stand before you apply.

Strengths & weaknesses, spelled out

A recruiter-style breakdown of what lands, what falls flat, and which gaps are quietly costing you interviews.

Line-by-line rewrites

Not vague advice: actual before-and-after rewrites of your weakest bullets, with the reasoning behind every change.

Job Match: scored against the real role

Paste the job description and get a suitability score, requirement-by-requirement coverage and a screener-style verdict — for that exact vacancy, not a generic checklist.

Brainstorming prompts

Guided questions that surface achievements and numbers you forgot you had: the evidence recruiters actually look for.

Every analysis, saved

Iterate with confidence. Every review and every match is stored, so you can watch your scores climb as your CV improves.

From our inbox

What job seekers tell us

A few of the messages people have sent us after using the analyzer.

I sent out over 200 applications in three months and heard almost nothing back. Two weeks after rewriting my CV with this, I had four interviews lined up. I genuinely wish I'd found it sooner.

Daniel M.

Software Engineer

via email
I knew my CV was being filtered out by screening software before a human ever saw it, but I just couldn't work out why. The score and the rewrites showed me exactly what was wrong in about five minutes.

Priya S.

Marketing Manager

via email
The brainstorming prompts pulled achievements out of me I'd completely forgotten about. My CV went from a list of duties to a list of results. Recruiters noticed the difference immediately.

Tom W.

Operations Lead

feedback form
As a career changer I had no idea how to position myself. Scoring my CV against the actual job description took all the guesswork out. I accepted an offer last week.

Aisha K.

Data Analyst

via email
Honestly thought it would be another generic 'use action verbs' tool. It wasn't. The line-by-line rewrites were specific to my experience and I used almost all of them.

Marco R.

Product Designer

feedback form
My problem used to be getting no responses. After fixing what the analysis flagged, my problem is scheduling the interviews. A much better problem to have.

Hannah L.

Finance Graduate

via email

Stop guessing why you're not hearing back

Every application you send with an unchecked CV is a coin flip. Take two minutes, find out your score, and fix what's holding you back, before your next application, not after.

Analyse my CV free

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See a sample report