
Arbor provides AI voice interviews that turn frontline employee and customer conversations into operational insights.
Arbor's platform centers on Umi, an AI researcher that runs natural voice interviews with frontline employees, managers, and customers. Teams design interviews, share them by link or QR code, and collect conversations that Umi transcribes and organizes.
Umi synthesizes responses into themes, reports, dashboards, recommendations, and proactive alerts. Arbor positions it for operations, people and HR, customer experience, executive transformation, and safety use cases across logistics, construction, manufacturing, hospitality, and retail.
Arbor competes in AI-moderated research, where platforms run automated interviews and synthesize qualitative insights at scale for enterprise teams. Its 2026 funding announcement frames a large opportunity in capturing conversational insights that traditional surveys and consultants miss.
The company targets operationally complex sectors such as logistics, manufacturing, retail, hospitality, and construction. It frames demand as coming from enterprises seeking faster, cheaper alternatives to manual interviews and consulting engagements.
Arbor focuses on frontline employees and customers rather than only professional research panels, and reports early-customer participation rates above 85 percent. Its conversations can be anonymous, which the company says encourages candor that traditional surveys miss.
The platform is positioned for enterprise operations, with SOC 2 Type 2 certification, end-to-end encryption, security monitoring, and GDPR and CCPA compliance described on its security page. It targets operationally complex industries where offline conversations hold insights executives rarely see.