Case Study: Zocal achieves high-precision real-time social proximity with Clavis

Zocal achieves 95% geofencing accuracy with Clavis

Zocal, formerly known as MochaMeet, faced the challenge of overcoming the "Social Paradox," where users were digitally active but isolated in the real world. Their goal was to create a hyper-local social platform that fostered spontaneous, real-world meetups. The technical hurdles included building a battery-efficient, high-precision location engine for real-time proximity tracking and solving the "Icebreaker" problem to facilitate safe and relevant connections. They partnered with Clavis to develop a full-stack mobile solution to address this.

Clavis engineered a privacy-first mobile app featuring a proprietary geofencing engine and a proximity-based matchmaking algorithm that filtered connections by location and shared micro-interests. The solution included secure temporary chat, vetted meeting venues, and granular privacy controls. As a result, Clavis delivered a platform with 95% geofencing accuracy, less than 2ms location sync latency, and an 85% improvement in battery efficiency, enabling Zocal to scale its service across multiple cities.

Zocal