Fountain turns high-volume frontline hiring into an agent workflow
Fountain built an AI Recruiter that auto-screens candidates and runs voice interviews on Claude, cutting manual screening roughly in half and doubling conversion for employers like rideshare firm Alto.
Fountain, a hiring platform for high-volume frontline employers in rideshare, logistics and retail, built an AI Recruiter as a multi-agent system on Claude via the API. The agents auto-screen candidates around the clock, run conversational voice interviews and drive onboarding checklists, layered onto the existing applicant tracking system rather than replacing it. Vendor-reported outcomes: about 50% less manual screening effort, 30 to 40% faster onboarding and roughly 2x candidate conversion. A named customer, rideshare firm Alto, doubled driver hiring and lifted applicant conversion from 38% to 55% while cutting time-to-hire by three days. For a mid-market employer the decision here was not buying a generic chatbot, it was embedding narrow agents into an existing workflow on a managed model layer.