An AI sourcing tool searches for people who match a role and drafts the first message to them. Ours searches the candidates you already hold before anywhere else, and every message is edited and sent by a recruiter, under their own name.
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Most agencies sit on years of candidates in Bullhorn, Vincere or JobAdder who are invisible to keyword search: the CV says “ran the Iberian channel”, the requisition says “partner sales, Spain”. Meanwhile outreach tools make it trivial to send hundreds of near-identical messages, so candidates have learned to ignore them. More volume makes both problems worse.
The useful version does the opposite. Semantic search over your own database finds the people a recruiter already has a relationship with, described in their own words. A draft message refers to something specific in their history and to why this role might fit, and a recruiter reads it, changes it and decides whether it goes at all. Fewer messages, each one worth replying to.
Sourcing can look like marketing, but the EU AI Act lists AI used to place targeted job advertisements among its high-risk recruitment uses, and choosing whom to contact about a role is close to that line. We treat the search criteria as part of the hiring criteria: written down, reviewable and free of proxies for protected characteristics. Whether a given configuration falls within the high-risk category is your determination, and we document the design so you can make it.
For most agencies the highest-value source is the database they already own, because those candidates know the firm and the data is already lawfully held. Off-the-shelf sourcing tools are strong on public profiles. A custom build makes sense when your own records are large, messy and under-used, which is common after years on Bullhorn or a similar ATS.
Most recruiters now assume a CV has been polished with AI, which is one reason keyword matching has lost its value. What matters is whether the experience described is real and relevant, and that is established in conversation. The same applies in reverse: candidates can tell a generic AI message from one a recruiter actually wrote, which is why every draft here is edited by a person.
It can be, usually on legitimate interests, but it comes with duties: a notice telling the person where their data came from and how it will be used, normally at first contact, a working opt-out, and limits on how long the data is kept. The legal assessment is yours; the system is built to make those duties automatic rather than optional.
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
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We start with a search over a copy of your own database, on roles you are working now.
30-minute technical call · no deck