Seiscast
Seiscast is an AI-driven seismic forecasting platform that provides real-time earthquake probability assessments and alerts.
Profile
AI platform that predicts earthquake probabilities using multiple environmental data sources
Seiscast is an AI-driven seismic forecasting platform that provides real-time earthquake probability assessments and alerts. Founded by a team of geophysicists and data scientists, the company emerged from academic research on multi-factor seismic analysis, combining seismic, planetary, marine, solar, and historical data. Their system processes 2.3 million training records to deliver predictions with 84.7% overall accuracy and an average 68-hour lead time.
The platform serves both public safety agencies and private sector clients, offering three core products: Predictions for probabilistic forecasts, Analytics for risk assessment, and Alerts for real-time notifications. Seiscast's model weights seismic data most heavily (40%) but incorporates lesser-known factors like lunar tidal forces (15%) and solar activity (15%), a approach that has drawn both interest and skepticism from traditional seismology circles. The company operates without disclosed funding but has gained traction in high-risk regions like the San Francisco Bay Area, where it provides 72-hour probability windows for M5.2+ events. Recent focus includes refining false positive rates (currently 12.3%) and expanding coverage to underwater seismic zones following the 2025 Tonga eruption.
Who buys this
- Municipal emergency management agencies
- National disaster preparedness organizations
- Energy and infrastructure companies with seismic risk
- Reinsurance firms modeling catastrophe bonds
- Research institutions studying predictive seismology
Strengths and what to watch
Strengths
- Proprietary multi-factor model incorporating non-traditional data sources like solar activity
- Demonstrated 84.7% accuracy across 2.3M historical event records
- Operational lead time of 68 hours exceeds conventional seismic early warning systems
Watch for
- 12.3% false positive rate risks alert fatigue among emergency responders
- No published peer review of methodology despite academic origins
- Concentration risk in California market leaves revenue vulnerable to quiet seismic periods
Key Information
- Founded
- 2012
- Headquarters
- Doraville
Frequently Asked Questions
How does Seiscast predict earthquakes?
Seiscast uses AI to analyze seismic, planetary, marine, solar, and historical data. Their model weights seismic data at 40% but includes unconventional factors like lunar tides (15%) and solar activity (15%). The system processes 2.3 million training records to generate probabilistic forecasts with 68-hour average lead times.
How accurate is Seiscast's earthquake prediction?
Seiscast reports 84.7% overall accuracy across 2.3 million historical event records. The platform averages 68-hour advance warnings but has a 12.3% false positive rate. Performance varies by region, with demonstrated effectiveness in California for M5.2+ quakes. Accuracy claims remain unverified by independent peer review.
What organizations use Seiscast's earthquake forecasts?
Primary users include municipal emergency agencies, national disaster organizations, and infrastructure companies. Reinsurance firms employ it for catastrophe bond modeling, while research institutions study its predictive methods. The platform serves high-risk areas like the San Francisco Bay Area with 72-hour probability windows.
What makes Seiscast different from traditional earthquake warnings?
Unlike conventional seismic alerts, Seiscast incorporates non-traditional data like solar activity and lunar tides. Its AI processes multiple environmental factors simultaneously, providing probabilistic forecasts rather than last-second warnings. The 68-hour average lead time significantly exceeds traditional systems' detection-based alerts.
Does Seiscast work for underwater earthquakes?
Seiscast expanded to underwater seismic zones after the 2025 Tonga eruption, though performance data isn't publicly detailed. The platform's marine data integration (10% weighting) theoretically supports submarine quake prediction, but accuracy likely differs from land-based events given distinct geological characteristics.
Why do some seismologists doubt Seiscast's approach?
Skepticism stems from its unconventional data weightings (15% lunar tides, 15% solar activity) and lack of peer-reviewed validation. Traditional seismology prioritizes geological data, while Seiscast's multi-factor model remains proprietary. The 12.3% false positive rate also raises concerns about practical emergency response utility.
Sources
- seiscast.com — Core product offerings and live prediction interface
- seiscast.com — Risk assessment methodology and weighting factors
- seiscast.com — Alert system functionality and update frequency
- seiscast.com — Model performance metrics including accuracy and false positive rates