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> lateral vs candidate-labs
Candidate Labs delivers manual"engineering-quality" sourcing. Lateral delivers the same rigor with an AI engine and your FDR — at scale.
Meet Your FDR →Candidate Labs positions itself as"engineering-quality" sourcing — treating candidate research with the same rigor engineers apply to code. They charge per candidate delivered and focus on deeply researched profiles. For companies that need a handful of highly vetted candidates for specific roles and are willing to pay per profile, Candidate Labs brings a thoughtful, quality-first approach to sourcing.
Manual sourcing doesn't scale. Quality is great when you need 5 candidates. But when you're hiring across multiple roles or need volume, a manual research model hits a ceiling fast.
No AI engine. Candidate Labs relies on human researchers, not AI-native infrastructure. No automated enrichment, no multi-channel experiments, no systematic optimization of what sourcing approaches work best.
No FDR model. You get sourced candidates, but not a Forward Deployed Recruiter managing your full pipeline — outreach, engagement, scheduling, pipeline management. There's a gap between"here are profiles" and"here are interested, qualified candidates."
Built by a team to source, enrich, and engage across 20+ channels. Runs experiments at scale — not manual research that caps out at a few profiles per week.
Your Forward Deployed Recruiter goes beyond sourcing — managing outreach, enrichment, and pipeline to deliver qualified interested candidates. You handle interviews and offers. Learn more →
See every sourcing experiment, every enrichment signal, every pipeline metric. Know exactly which channels and approaches deliver the best candidates.
Get engineering-quality rigor with AI-native scale. Your Forward Deployed Recruiter delivers qualified interested candidates — not just profiles.
Talk to Lateral →