Gestualy

Gestualy is an innovative AI-powered gesture recognition system designed to transform how businesses gauge customer sentiment in real-time. By leveraging computer vision and machine learning, it captures and interprets natural human gestures, such as thumbs up, thumbs down, or hand waves, to provide instant, quantitative feedback on customer satisfaction. This eliminates the traditional friction and delay associated with surveys, enabling companies to obtain actionable insights the moment an interaction occurs. The core value proposition lies in its ability to deliver accurate, passive measurement that feels intuitive and non-intrusive to customers, turning everyday gestures into a powerful data stream for business intelligence.

Key features: The platform offers real-time gesture detection through standard cameras, allowing deployment in physical locations like retail stores, banks, or event venues. It can distinguish between multiple gesture types and associate them with specific service points or time periods. For example, a customer giving a thumbs-up after a purchase at a checkout counter is instantly logged as positive feedback for that transaction and staff member. The system includes a dashboard for visualizing satisfaction trends, heat maps of high and low sentiment areas, and automated reporting. It also supports integration with existing customer relationship management (CRM) or point-of-sale (POS) systems to enrich customer profiles with behavioral data.

What sets Gestualy apart is its focus on passive, zero-effort feedback collection. Unlike competitors that might rely on tablet-based surveys or QR codes, Gestualy requires no active participation from customers—they simply react naturally. Technically, it uses edge computing to process video feeds locally, ensuring low latency and addressing privacy concerns by not storing identifiable video data. The AI models are trained on diverse datasets to recognize gestures across different cultures and lighting conditions accurately. Integrations are available via API, allowing businesses to feed gesture data into their analytics platforms or trigger real-time alerts for managers when negative feedback is detected.

Ideal for retail chains, hospitality venues, banking branches, and event organizers seeking to measure on-site customer experience without disrupting service flow. Specific use cases include monitoring queue sentiment in a bank, evaluating product demonstration reactions in a store, or gathering attendee feedback at a conference. Industries with high customer interaction volumes, such as quick-service restaurants or public transport hubs, can use it to identify service pain points instantly and coach staff accordingly.

Pricing follows a freemium model: a free tier is available for basic gesture tracking with limited data history, while paid plans start at approximately $49 per month per camera for advanced analytics, historical data retention, and premium integrations. Enterprise pricing is customized based on the scale of deployment and required features.