Wayvee’s core product is the Wayvee sensor — a 4D radar smart-shelf device that receives radio signals and applies machine-learning algorithms to generate real-time retail metrics such as C-SAT, dwell time, engagement, average customer speed and purchase intent. The system exposes insights via a data dashboard and includes alerting so retailers can respond immediately when satisfaction drops. The company emphasizes privacy by avoiding cameras and microphones, collecting anonymous radio-signal–derived signals rather than identifiable personal data. Wayvee has moved from R&D into pilots, securing initial pilot projects in August and running a notable sneaker-store pilot that linked customer speed to conversion and informed staffing changes. Its algorithms have evolved to surface additional signals — including inferred purchase intent and missed-sale opportunities — which the team says could enable dynamic pricing use cases. Financially, the company has just closed a $5M Pre-Seed and is preparing to kick off a Seed round as it targets U.S. pilot customers.

Total raised

$5M

Funding rounds

1

Latest round

Seed

Latest activity

Nov 2024