VScout — Describe the role. We'll handle the rest.

Recruiting software is a $40B+ market. Greenhouse, Lever, Workday — these platforms exist to manage the hiring process. They track candidates, schedule interviews, send emails, and generate reports. They are, at their core, databases with workflows built on top.

The problem: the hiring process they manage shouldn't exist in its current form. Recruiters spend 70–80% of their time on administrative work — writing job descriptions, screening resumes, scheduling calls, sending follow-ups. These are exactly the tasks AI can do better, faster, and without fatigue.

Legacy ATS tools were built to organize human recruiters, not to replace the work. When you build AI-first from day one, the question changes: instead of "how do we track what recruiters are doing?", it becomes "what does hiring look like when the AI does the sourcing, screening, and scheduling?"

VScout is an AI recruiting agent. You describe the role — seniority, skills, culture fit, deal-breakers — and VScout handles the sourcing, initial screening, interview scheduling, and candidate communication. Humans stay in the loop for final decisions. Everything else is handled.

Recruiting software wasn't broken — it was wrong from the start. It was built to help humans do a job that AI can now do entirely. Greenhouse helps recruiters track what they're doing. VScout eliminates the work that needed tracking.

The structural advantage of building AI-native: VScout doesn't need to maintain an ATS workflow engine, candidate stage pipelines, or recruiter seat licensing. The pricing model, the UX, and the value proposition are all different when you start from the premise that AI does the work.

Greenhouse has $110M in ARR and thousands of enterprise customers who rely on it for process compliance. Those are also the reasons Greenhouse can't rebuild itself. VScout has no such constraint — and every new feature it ships widens the gap.