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A $6M recruiting business used to run on inboxes, spreadsheets, and one recruiter's memory. Applicants sat unread for days. Interviews took a week of email tag to schedule. Foundry rebuilt the whole operation into one intelligent stack where the AI reads, scores, chases, and schedules, and the humans only touch the decisions that matter. It ships new capability every week, and it has not needed a bigger team since.
Every Staffify code change ships through Foundry. The recruiter console runs the inside. The public surfaces convert outside. The scheduling and intake handle the back-and-forth nobody wants to remember. The content engine keeps the brand findable. All of it sits on one self-cleaning, self-researching database.
The recruiter operating system. An AI-first interface where every action surfaces with a recommendation already attached. The recruiter stops being the bottleneck.
The brain underneath everything. A continuously self-cleaning, self-researching database that gets richer over time instead of stale. Built on Supabase as the single source of truth, with row-level security and real-time updates pushed to every connected surface.
Every public-facing surface of the business. Candidate showcases, client review experiences, candidate self-serve portals — all branded, all connected, all pushing traffic back to the marketing site.
The whole back-and-forth of getting from interest to interview, eliminated. Discovery calls land in the pipeline on their own. Interviews schedule themselves. What used to take a recruiter half a day takes one click.
Every public surface indexable by Google and AI search. Weekly long-form content publishing to gostaffify.com/blog. The business stays findable on its own terms.
Every surface in the Staffify stack reads from the same source of truth: a Supabase schema that doesn't go stale. Foundry built the layer to maintain itself. Records get richer over time, not messier. The operator never has to clean up after the system.
Every record lives in one schema. Recruiters, candidates, clients, interviews, and conversations all read from the same place. No syncing, no shadow spreadsheets, no version drift.
The data layer continuously watches itself. Duplicates get merged. Conflicting fields get reconciled. Dead records get archived. What can't be auto-resolved gets surfaced for one-click human review.
Background agents continuously enrich every record. Profiles fill themselves in. External signals stay fresh. Missing fields get inferred from patterns the system has already seen.
The moment a record changes, every connected screen knows. The recruiter doesn't refresh. The client doesn't reload. The candidate doesn't wonder if their submission went through.
Conventional databases need ongoing manual cleanup. Migrations break. Records go stale. Schemas drift. Foundry built the Staffify data layer to do the opposite. Every change strengthens it. Every record self-enriches. The schema is built to be inherited, not rebuilt.
Foundry ships AI operator consoles like this one for clients across recruiting, real estate, food packaging, hospitality, and SaaS. Start with a paid audit.