Case Study: a mass shooting & civil unrest service provider improves threat detection and emergency response with OWL Intelligence Platform

A OWL Intelligence Platform Case Study

Preview of the Mass Shooting & Civil Unrest Service Provider Case Study

Mass Shooting & Civil Unrest Prevention with OWL Intelligence Platform

The customer, a mass shooting and civil unrest service provider, faced the complex challenge of preventing and responding to rapidly unfolding high-risk incidents in an urban environment. They required a solution for real-time intelligence gathering, geospatial awareness, and multi-agency collaboration. To meet this need, they partnered with OWL Intelligence Platform and leveraged its OWLcity and Real-Time Intelligence Algorithms.

OWL Intelligence Platform implemented a comprehensive solution, integrating data from social media, law enforcement databases, and tips to power an AI-driven early warning and risk-scoring system. During a crisis, the platform provided live tracking and automated response coordination. The results included a 30% faster threat detection rate, a 50% improvement in law enforcement response times, and an 80% increase in investigation accuracy, enabling the customer to proactively prevent crime.


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