Zenus offers an ethical facial analysis platform that uses AI‑driven computer vision to extract aggregate, privacy‑preserving metrics such as impressions, dwell time, age/sex demographics, and sentiment from video feeds in retail stores, trade shows, and virtual events. The solution processes data on‑edge without storing raw facial images, delivering real‑time dashboards and Return‑On‑Engagement reports that help brands and event organizers optimize layouts, marketing activations, and exhibitor performance.
Funding
$6.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
LSFounders
Product
Problem
Retail brands and event organizers lack scalable, privacy‑preserving methods to measure real‑time consumer and attendee reactions, such as foot traffic, dwell time, demographics, and sentiment, without collecting personally identifiable facial data.
Solution
Zenus provides an ethical facial analysis platform that uses AI‑driven computer vision to extract aggregate behavioral metrics from video feeds in retail stores, trade shows, and virtual events. The system detects faces with over 95% accuracy, even with masks, and anonymously derives impressions, dwell time, age/sex demographics, and sentiment indicators. Data is processed on‑edge and aggregated in the cloud, ensuring no personal images are stored, thereby complying with privacy‑by‑design principles. Clients receive dashboards and “Return‑On‑Engagement” reports that visualize traffic patterns, booth performance, and product interaction effectiveness, enabling data‑backed decisions on layout, marketing activations, and exhibitor strategies. The platform also includes tools for camera placement planning and automated lead capture for exhibitors.
Target Audience
Primary customers are retail brands seeking in‑store consumer insights and event organizers, exhibitors, and sponsors who need anonymized attendee engagement analytics for live or virtual events.
Features
- Real‑time face detection and demographic estimation with >95% accuracy, mask‑compatible
- Privacy‑first processing that never stores raw facial images, adhering to GDPR‑compatible standards
- Metrics suite covering impressions, dwell time, positive sentiment, and demographic breakdowns
- Coverage Estimator tool to plan optimal camera deployment based on floor‑plan uploads
- Automated lead capture and dynamic display integration for exhibition booths
- Cloud‑hosted analytics dashboard with customizable “Return‑On‑Engagement” reports
- API access for integration with existing event or retail management systems