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Most hiring software finds the candidates you ask for.
But what if you're asking for the wrong person?
Lantern AI, founded by Thomas Chan and Justin Tang, is building an AI hiring manager for the question that comes before the search: who should you actually hire?
It learns what strong talent looks like at your company, then searches 50+ data sources for people a keyword match on the job description would miss.
As hiring managers react to its picks, Lantern sharpens its sense of what they want. And when their requirements don't match the talent market, it pushes back instead of just following the brief.
That's the interesting part. Sometimes the best candidate misses a box or two; sometimes the person a company thinks it needs isn't the one who'd help it most. A great headhunter knows when to challenge the brief, and Thomas and Justin are building that judgment into the software.
"Turn your taste into hires."
🎙️ Thomas Chan & Justin Tang, Co-Founders, Lantern AI on Fondo START
01:27 Thomas introduces Lantern's AI hiring manager and personalized talent discovery.
01:53 Explains why static job descriptions can overlook exceptional candidates.
02:39 Justin describes Lantern's interactive approach to learning hiring preferences.
03:26 Thomas explains how Lantern challenges unrealistic hiring requirements.
04:17 Discusses Lantern's sourcing strategy using 50+ data providers.
05:19 Shares how AI is influencing demand for engineering talent.
06:43 Explains why companies need to rethink hiring as technology evolves.
08:25 Describes how Lantern evaluates candidates beyond their resumes.
09:48 Explains how AI can assess supporting evidence of candidates' work.
10:24 Discusses how Lantern helps hiring managers streamline recruiting.
Check out www.lantern.md
