Candidate Sourcing That Runs Itself
We send you high-quality candidates daily, learn what you like, and improve automatically — so you can focus on closing placements, not finding people.
We look at your roles, placements, and positioning to understand exactly what you recruit for.
You get a curated batch of candidates — not scraped lists, but profiles that actually match your world.
Tell us what’s good, what’s not, and what’s perfect.
Our system adapts to your preferences and quickly dials in exactly what you’re looking for.
Real examples of how the system finds, scores, and explains candidates — so you can see the thinking behind every recommendation.
“Matches tenure pattern (5+ yrs mid-market PE), holds the exact title, 3 mutual connections with your last 2 placements. Previously at Deloitte Corporate Finance — fits the advisory-to-buyside trajectory your client prefers.”
The problem: A 2-person healthcare staffing agency was spending 4+ hours daily on Indeed, LinkedIn, and nursing job boards. They knew exactly what a good travel nurse looked like — but couldn’t search fast enough to keep up with demand.
What happened: Within 72 hours of onboarding, the system delivered its first batch of 23 candidates. After one round of feedback (“more ICU experience, less med-surg”), day-two accuracy jumped significantly. By week two, the owner was reviewing candidates over coffee instead of sourcing until lunch.
Result: Sourcing time dropped from 4 hours/day to 30 minutes. Two additional placements in the first month from candidates they would have missed.
When you reject a candidate, the system doesn’t just remove them. It asks why and adjusts dozens of signals:
“Too junior. We need someone who’s managed a team of 10+, not individual contributors.”
“Increasing weight on management experience signals. Filtering for team-size mentions in profiles. Deprioritizing IC roles even at senior titles. Tomorrow’s batch will reflect this.”
This compounds. After a week of feedback, the system knows your preferences better than a job description ever could.
The system doesn't just search — it maps the entire talent landscape. Every candidate, every connection, every pattern. Zoom, pan, and click to explore.
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This isn't a one-shot search tool. It's a system that learns your preferences, your clients' tastes, and the patterns behind every successful placement.
Every morning, you get a ranked shortlist — sourced from across the entire internet, scored on dozens of signals.
Accept, reject, or shortlist. Every signal — even "not quite right" — teaches the model what you're really looking for.
The graph tightens. Scoring recalibrates. Tomorrow's candidates are closer to what you actually want. It compounds forever.
We don't just search LinkedIn. We built a candidate intelligence system that scans every corner of the internet, learns what a great hire looks like for each role, and gets better every single day.
The system scans LinkedIn, company websites, Instagram, GitHub, industry directories, and public databases simultaneously. Surfaces candidates your team would never find manually.
The system learns what makes a great candidate for each role — skills, trajectory, company pedigree, tenure patterns. Every placement teaches it what to look for next.
Every morning, your team gets a curated shortlist of new candidates ranked by fit. No searching. No scrolling. Just the people worth calling.
When you accept, reject, or place a candidate, the system adjusts. It learns your clients' preferences, your agency's winning patterns, and sharpens its targeting automatically.
Goes beyond the resume. Pulls compensation data, project history, social presence, mutual connections, and career trajectory to give your recruiters the full picture before the first call.
Need to understand a talent market before pitching a client? The system maps the entire landscape — who's where, who's movable, and what compensation looks like — in minutes, not weeks.
What agencies see after switching to Cynthia.
We handle everything from strategy to deployment. You stay focused on running your agency.
We learn how your agency places candidates — what roles, what industries, what makes a great fit. We study your past wins to train the system from day one.
We deploy your research engine trained on your placement history, your ideal candidate profiles, and your clients' preferences. It starts scanning immediately.
Your team gets daily candidate briefings. Every accept, reject, and placement feeds back into the model. It's not a static tool — it's a system that compounds in value.
We'll show you exactly how the system finds candidates your team would miss — and how it gets smarter with every placement.