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Company Description
AIRLOC is an agentic AI platform purpose-built for executive search teams to dramatically compress the first 45 days of a retained search into minutes, without displacing the human judgment and relationships that define great recruiting. Designed and trained by industry veterans who deeply understand retained search workflows, AIRLOC mirrors the way elite researchers and partners think and operate, beginning with a human-led, AI-guided intake to capture scope, benchmark criteria, competencies, cultural fit, must-haves, and nice-to-haves. From this intake, AIRLOC generates a client-ready Search Strategy Report and immediately executes a methodical research plan, sourcing far beyond LinkedIn and internal databases to produce ranked, rated, and scored longlists aligned to the brief. The platform expands candidate universes by mapping talent a level above and below the target role to support calibration, reduce bias, and increase diversity, while also delivering AI-generated target company lists and role-specific market intelligence. Built to keep recruiters fully in control, AIRLOC never contacts clients or candidates; instead, it accelerates time-to-value by enabling teams to present a thoroughly researched longlist the same day, shortening cycles by up to six weeks and helping firms place candidates up to 40% faster. Offered on-demand and per-search (no search = no fee), AIRLOC scales capacity without additional headcount, standardizes research quality across teams, and enables consistent execution at unlimited scale. With secure Google login, exportable and editable reports, and iterative regeneration based on richer context, firms preserve their brand voice and methodology while leveraging unbiased, strategy-led AI. AIRLOC serves retained executive search firms, solo recruiters and boutiques, in-house executive talent teams, and research functions seeking more scale, consistency, and reachultimately enhancing client experience, accelerating delivery, and giving search partners a defensible competitive edge.
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