Skills that transfer, not just words that match
Most hiring software drops a candidate the moment a required skill isn't spelled out word-for-word on their resume. Astris HR looks at what a person can actually do and gives credit for closely related skills — so a sewing-machine operator can qualify for an electronics-assembly job.
How it works
Astris HR recognizes when a skill from one job carries over to another under a different name, gives fair partial credit, and explains every connection in plain words.
When a candidate doesn't list a required skill by name, Astris HR looks for skills they do have that are known to carry over. A close match earns partial credit toward the requirement.
When there's no established connection, Astris HR looks more broadly for related experience. Anything it finds is shown to the recruiter as a possible link, but isn't counted toward the score on its own.
Each requirement can be met by only its single best related skill. Credit is never stacked, so a candidate with a broad but thin background isn't over-scored.
Every related skill that helped the score is named in the match summary. Recruiters see what the candidate actually brings, not just a number.
Connections that have led to lasting placements count for more over time. Connections tied to jobs that ended early count for less.
Every connection Astris HR uses is recorded with the match: the skill the candidate has, the requirement it met, and how confident the match is. You can show a funder exactly why each decision was made.
Keyword search vs. Astris HR
Same candidate, same job. One tool matches words; the other recognizes ability.
Scans the resume for the exact words "small-parts assembly." They aren't there, so the candidate is filtered out before a person ever sees them.
Recognizes that "sewing-machine operator" is closely related to "small-parts assembly" and gives partial credit. The candidate shows up with a clear reason a recruiter can trust.
A worked example
A typical case we see on the platform — details changed for privacy.
| Candidate background | Five years as a sewing-machine operator in Damascus, no English-language certifications, beginner English. |
| Open job | Electronics assembly line position. Required: "hand-eye coordination," "small-parts assembly," "shift work," "basic English." |
| Exact skill matches | None — the candidate's resume doesn't say "electronics assembly." |
| Related skills found | Sewing-machine operation is closely related to small-parts assembly, and sustained hands-on work is a good fit for shift work. Both earn partial credit toward the requirements. |
| Other likely links | The detailed garment-construction work looks related to electronics sub-assembly. It's shown to the recruiter as a possible link, but isn't counted toward the score on its own. |
| Score breakdown | Skills: 78. Experience: 100 (5 years vs. the 2 required). Language: 60 (beginner English meets the "basic English" requirement). Plus commute distance and schedule fit. Overall: 84 — a strong match. |
| What the recruiter sees | A short summary naming the two related skills that earned credit, a note flagging the English-level gap, and "5 years of small-parts work" as the standout strength. |
See Astris HR in your workflow
Run it against your candidate base or a sample JD. We'll set up a tenant in under a day and show you the matches your existing tools are missing.
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