You’ve probably already been pitched a dozen AI recruiting tools. This isn’t that. We go into your firm, map where recruiter hours actually go across your ATS, inbox, and job boards, and build automation around your workflow — not another platform to log into.
Every req buries recruiters in resumes that need reading, parsing, and comparing against requirements. We build screening assistance that produces structured first-pass summaries against your criteria — flagging clear matches, clear misses, and the maybes worth a call — logged into Bullhorn or JobAdder. Your recruiters spend their day talking to candidates, which is the part that actually makes placements.
Ghosted candidates trash your brand and your redeployment rate. We build communication sequences that keep every active candidate warm — application received, status updates, interview prep, post-placement check-ins — personalized from ATS data and paused the moment a human takes over the thread.
Turning a resume and your notes into a clean, branded submittal takes 20 minutes per candidate that reps rarely have. We build submittal prep that drafts the formatted package — summary, highlights against the req, your firm’s template — for a two-minute review instead of a twenty-minute rebuild.
The database is only as good as what gets logged, and recruiters hate logging. We build capture that turns calls and emails into structured ATS notes and status changes automatically — so redeployment searches actually find people, and nobody’s pipeline lives in their head.
We start with an operations audit: 1–2 weeks inside your workflows, ending with a prioritised map of where AI actually pays off and what each opportunity is worth. Audits run $2,500–$5,000 depending on size. Builds are scoped and priced before any work begins — most land between $8,000 and $25,000 and take 3–6 weeks. No hourly billing, no surprises. See how we work →
Candidate records are PII, and screening is regulated ground — EEOC rules apply, and if you place in New York City, so does Local Law 144 on automated employment decision tools. Straight answer: we build assistance, not automated decision-making. Screening summaries inform a recruiter’s judgment; they never rank, score, or reject on their own. Candidate data stays in your systems, is never retained by third-party AI providers or used for training, and the design gets documented in writing so you can answer client and candidate questions confidently.
Cerebrum is led by a former CTO of a VC-backed startup who has designed, shipped, and scaled production AI systems. We’re tech-agnostic — no reseller kickbacks, no pushing the tool that’s easiest to sell. We build it, deploy it, and stay until your team runs it confidently without us.
Engagements start with a 1–2 week operations audit of your desk workflows ($2,500–$5,000). Builds are scoped and priced before work begins and typically run $8,000–$25,000, delivered in 3–6 weeks.
Yes — screening summaries, candidate communication, and submittal prep are built on the ATS you already run instead of adding another platform.
We build assistance, not automated decision-making: summaries inform a recruiter’s judgment and never rank, score, or reject on their own. That design distinction is what keeps the system on the right side of automated employment decision rules, and it’s documented in writing.
Book a free 30-minute operations call. No pitch — just an honest look at your workflow.
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