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A CV tells you what someone wrote, not what they can do
For years, hiring has leaned on the skills people list and the CVs they write well - and generative AI has made both easy to fake, so every requisition now fills with applications that read perfectly and tell you little about who can actually do the job. Beamery matches on the skills someone genuinely has and the work they’ve actually done, ranking people on the evidence rather than the wording. Reading the work is the part most tools still can’t manage, and it’s the truest guide to who’ll do the job well.
Capabilities
Hiring on the work, not the words
Match on skills and the work itself
Search and rank across your employees, past applicants and the open market on one model, scoring people on the skills they hold and the work they’ve actually done rather than the keywords they used.
Resurface the talent you already know
Silver medallists, past applicants and internal movers resurface automatically, with the context your team captured, so a new req starts with people you know can deliver.
Screen at volume, hold the bar
AI clears the first pass so recruiters spend their time on evaluation, and every hiring manager works to the same standard however many applications come in.
Using skills as that currency allows you to hire faster; hire better, because you’re looking at the skill, not necessarily the individual or the jobs that they had before.
Andi Zyka
Director, Employee Success Product Management, Salesforce
270%
more likely to receive an offer when matched on skills
[Source / customer, confirm]
