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Purpose-Built AI for
Emergency Intelligence

Our multi-model architecture was designed from the ground up for one mission: turning raw emergency data into personalized, actionable intelligence faster than any human analyst.

The ZoneCast Intelligence Pipeline

Every alert passes through a three-stage AI pipeline before reaching your device. Each stage adds context, validates accuracy, and personalizes the response — all within 14 milliseconds.

Stage 1: Ingestion & Fusion

Our data fabric simultaneously monitors 140+ feeds: IPAWS, NWS, USGS seismic networks, social media firehose (X, Reddit, NextDoor), local news APIs, traffic sensors, IoT weather stations, and crowd-sourced reports. A transformer-based fusion model cross-references signals to build a unified threat picture.

Stage 2: Validation & Enrichment

A multi-head attention model validates each alert against corroborating sources, eliminating false positives with 99.4% precision. Validated alerts are enriched with geospatial context: your exact location, building type, household profile, mobility constraints, and local resource availability.

Stage 3: Personalized Delivery

A lightweight inference model on your device generates your personalized response plan — nearest shelters, optimal evacuation routes (accounting for real-time traffic), emergency contacts, and step-by-step guidance — in under 3ms on-device.

AI infrastructure

Core AI Capabilities

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Natural Language Processing

Custom fine-tuned LLMs parse unstructured emergency communications — 911 dispatch transcripts, social media posts, scanner traffic — extracting threat type, severity, location, and trajectory from informal human language.

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Spatial Intelligence

Our geospatial model maps threats to 3D building footprints at 1-meter resolution. Combined with real-time occupancy estimation, we deliver floor-level guidance for high-rise buildings and campus environments.

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Predictive Modeling

Trained on 15 years of FEMA incident data (2.3M events), our temporal models predict how emergencies evolve — providing 10-30 minutes of advance trajectory warning beyond official forecasts.

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Anomaly Detection

Unsupervised models continuously scan sensor networks for statistical anomalies that precede emergencies — detecting infrastructure failures, chemical releases, and seismic precursors before traditional monitoring systems.

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Social Signal Intelligence

Real-time sentiment and event detection across social platforms identifies emerging situations 15-30 minutes before official channels. Multi-source corroboration eliminates misinformation and hoaxes.

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On-Device Inference

Critical response planning runs locally on your device via a 12MB quantized model — ensuring guidance works even when cell service is degraded or unavailable during disasters.

Satellite data feeds

Data Sources & Partnerships

ZoneCastAI's intelligence is only as good as its data. We maintain direct integrations with federal, state, and commercial data providers:

  • FEMA IPAWS — Integrated Public Alert and Warning System
  • NWS — National Weather Service real-time feeds
  • USGS ShakeAlert — Earthquake Early Warning
  • NOAA — Satellite imagery and ocean buoy networks
  • EPA — Toxic Release Inventory facility monitoring
  • State and local 911/CAD systems (22 states)
  • Commercial satellite providers (Planet Labs, Maxar)
  • IoT sensor networks (700,000+ devices)
  • Social media APIs (X, Reddit, NextDoor)

AI That Protects

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