For recruitment teams

Stop guessing which candidates fit.
Start scoring them against the real job spec.

SpecMatches reads your job description, builds a scoring rubric automatically, and ranks every CV against it, with the reasoning behind each score. Your recruiters make every decision, and spend their time talking to the right candidates instead of screening hundreds of them.

Book a demo See how it works ↓

From job description to ranked shortlist

No keyword guesswork: a clear, evidence-based ranking for every role you open. Your recruiters review it and make every decision.

1

Drop in your job description

AI analyses it and builds a custom scoring rubric for that specific role: the criteria that actually matter, not a generic checklist.

2

Bulk upload candidate CVs

Upload hundreds of CVs at once: PDFs, Word docs, even a ZIP file. They're parsed, organised, and added to your candidate database automatically.

3

Review your ranked shortlist

Every candidate is scored against the spec, with clear reasoning behind every score. See exactly why someone ranks where they do.

4

Reach out, on brand, in one click

Send personalised acknowledgement, interview, or rejection emails straight from your own Outlook account, signed with your name, title and contact details.

Every score points back to the CV

Each criterion score says which part of the CV it's based on, and what's missing, so your recruiters can check any ranking in seconds before they decide.

Amira Khalilamira-khalil-cv.pdf

Experience

Senior Software Engineer, payments scale-up, Berlin · 2021 to present

Backend lead for the merchant platform. 1Built FastAPI and Django services across 6 years and led the redesign of the public REST API used by 4,000 merchants.

2Owned query tuning and partitioning for a 2 TB PostgreSQL transactions database, cutting p95 latency by 60%.

3Wrote Kafka consumers for ledger events and shared on-call for the payments pipeline.

Software Engineer, logistics start-up, Hamburg · 2018 to 2021

Backend engineering 3/3 scored4.7/ 5
5 Python & API design 16 years building FastAPI and Django services. Led the redesign of the public REST API.
5 PostgreSQL at scale 2Owned tuning and partitioning of a 2 TB database, with a measured 60% latency improvement.
4 Event-driven systems 3Built Kafka consumers for ledger events. No evidence of designing the wider event architecture.
  • Grounded in the CV. Reasoning refers to what the candidate actually wrote.
  • Gaps called out. You see why a score isn't a 5, not only that it isn't.
  • Re-run any criterion. Rescore a candidate on a single criterion in one click.
Compare finalists

See exactly where your finalists differ

Pick your top candidates and compare them category by category. The radar shows the shape of each profile at a glance, so the trade-off between your finalists is clear before the first interview.

  • Every category from the job's own rubric
  • Overall and per-category scores side by side
  • Export scores to Excel

Built for how recruitment teams actually work

Scoring tied to the actual spec

Criteria are generated fresh from each job description, not a generic resume keyword scan.

Bulk CV processing

Upload an entire pipeline of candidates at once and get a clean, searchable database in minutes.

Transparent, evidence-based scores

Every score comes with the specific reasoning behind it, so you can check and explain every ranking.

Built-in outreach

Send acknowledgement, interview, and rejection emails personalised to each candidate, via your own Outlook.

A real hiring pipeline

Track every candidate from application through interview to placement on one visual board.

Sensitive details filtered out

Before a CV is scored, common sensitive details such as date of birth, nationality and religion are removed from the text the AI sees.

Ready to see it on your own job specs?

Send us a real job description and a few anonymised CVs, and we'll show you exactly how SpecMatches scores them. Free, no commitment.

Book a demo