The latest on emergency management technology, AI research, preparedness strategies, and ZoneCastAI platform updates.
When 100mph winds drove the Palisades fire into densely populated neighborhoods in January 2025, county-wide Wireless Emergency Alerts told 4 million people to "monitor conditions" — but couldn't tell any individual family whether to evacuate or shelter in place. We analyzed the alert data and modeled how AI-personalized geospatial intelligence could have closed the gap.
A deep dive into the transformer architecture behind ZoneCastAI's social signal intelligence pipeline and why unstructured text is the fastest signal.
Our predictive models are showing above-average fire risk across the Pacific Northwest and Northern Rockies this summer. Here's what that means for your preparation plan.
Our latest release introduces device-to-device mesh networking that extends alert delivery even when cell towers are down. Here's how it works under the hood.
A post-incident analysis of how ZoneCastAI's predictive flood modeling and community reports provided critical early warning during the February 2026 Gulf Coast flooding.
We're honored to announce our selection as a technology partner in the Department of Homeland Security's Science & Technology Directorate program for next-generation emergency alerting.
When people are terrified, every UI decision matters more. Our design team shares the research behind ZoneCastAI's high-stress interface patterns.
The internet was built without authentication. We mapped every trust boundary between your device and your destination — and what should be protecting you at each one. Toggle between personal and enterprise security postures.
Our security team's full briefing on the current threat landscape — from social engineering lures to MFA bypass techniques — annotated with academic research on cybered conflict and STES resilience.
Read the Briefing →