Protecting children from exploitation, abuse, and the risk of going missing.
Built the world's largest missing child alerting system—generating over 6 billion media impressions and helping close more than 2,000 cases since 2019 using custom AI facial recognition and geo-targeted alerts.
The Case Management system was rebuilt on a cloud-based infrastructure and launched globally, allowing administrators and agents to create new cases. The team built GMCNgine, an AI search engine that uses custom facial recognition software to find missing children by comparing saved images against those from the dark web and other big data sources. The team collaborated with Internet Alerts, using geo-targeting and dynamic ad insertion to get missing children alerts in front of the right communities at critical times. Those efforts helped 19 countries develop Rapid Emergency Child Alert Systems similar to AMBER Alerts in the U.S.









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