Artificient Mobility Intelligence

Artificient Mobility Intelligence is a data analytics platform that collects and interprets mobility data from smartphones and connected vehicles. It translates raw location and movement information into actionable business insights for insurance companies, fleet operators, and urban transport authorities. The platform covers four main areas: connected insurance (usage-based policies and automated claims), car rental and sharing (damage prevention and customer engagement), logistics and gig fleets (safety and compliance), and urban transport (travel mode detection and mobility patterns).

The system runs on a proprietary mobile-first platform called GIZO, which uses a custom geo engine to process sensor data from phones without needing expensive OBD hardware. Artificient claims this approach cuts costs by up to 90% compared to traditional telematics solutions. The platform is built on academic research and consistently outperforms native Android/iOS frameworks on reliability metrics. Users can configure workflows, analytics, and compliance settings to match their specific regional and operational requirements.

Insurance companies use Artificient to price policies based on actual driving behavior and automate claim handling. Car-sharing operators rely on it to detect risky driving and prevent damage. Fleet managers use it to monitor driver safety and meet regulatory standards. Urban planners analyze the data to understand how people move through cities and plan infrastructure improvements. The platform is designed for teams in product, digitalization, and engineering roles who need accurate, cost-effective mobility intelligence.