Zenus develops an edge-computing hardware and software platform that analyzes video on-site to produce demographic, attention and mood reports without identifying individuals. The company processes video locally on small boxes built in Texas so video is not recorded or stored, which the team says reduces data volumes from gigabytes per day to roughly one megabyte per hour and cuts cloud costs. Zenus pivoted from event-admission facial recognition to anonymous facial analysis to address privacy concerns and to focus on retail, conferences and research use cases. Its reports are intended to help clients A/B test displays, measure conversions and understand customer attention and moods while avoiding identity tracking. The startup emphasizes a cautious, trust-building approach—its devices cannot retrieve recorded footage even if an incident is captured. Zenus has nine employees (mostly remote), is hiring for three positions, and recently raised a seed round to fund product development and go-to-market efforts.

Total raised

$3M

Funding rounds

1

Latest round

Seed

Latest activity

Oct 2022