Decoding Earth's Seismic Language
PARSEC transforms how we understand earthquakes. By analyzing 25+ physics parameters per event from energy release patterns to wave propagation signatures, we create unique 128-bit fingerprints that capture the complete physics of each earthquake. This enables instant pattern matching across millions of events, revealing insights invisible to traditional seismic systems.
The Breakthrough
Traditional earthquake catalogs store basic measurements: magnitude, location, depth, time. We discovered that earthquakes speak a richer language, one that includes stress drops, rupture complexity, seismic efficiency, and tectonic signatures. Our physics engine extracts this complete story, then encodes it into searchable binary patterns using principles from quantum information theory.
Beyond Current Technology
Complete Physics Analysis
While USGS provides magnitude and location, we calculate energy release, stress drop, rupture area, wave velocities, and 20+ additional parameters—all in under 1 second.
Pattern Recognition
Our binary fingerprints enable instant similarity search. Find all earthquakes matching a specific physics pattern in milliseconds, not hours.
Pattern Families
Earthquakes naturally cluster into families based on their physics. We automatically identify these patterns, revealing hidden relationships in global seismic activity.
Zero Training Required
Unlike ML approaches, our physics-first method works immediately. No training data needed, no black boxes—just fundamental seismic physics.
Real-World Applications
Our technology transforms earthquake analysis across multiple domains:
- Early Warning Systems: Identify precursor patterns by matching against historical events
- Insurance Risk Assessment: Instantly analyze regional seismic patterns for accurate modeling
- Scientific Research: Discover new relationships in global earthquake behavior
- Emergency Response: Assess event severity using complete physics, not just magnitude
The Technology
At the core of PARSEC is a unique approach: we treat earthquakes as physical phenomena with discoverable patterns, not random events. Our system:
- Analyzes raw seismic data through our physics engine
- Extracts 25+ parameters capturing complete earthquake physics
- Encodes these into 128-bit binary fingerprints
- Enables hardware-speed search using XOR operations
- Reveals pattern families and anomalies automatically
Open Source Technology
Experience the core technology behind PARSEC with Tejas, our open-source demonstration that showcases the revolutionary encoding capabilities. Tejas proves our approach outperforms BERT, Elasticsearch, and traditional search systems, achieving ~1.2ms query encoding with ~4M pattern comparisons per second on a single CPU core.
Try Tejas on Hugging Face
Search across the entire Wikipedia-2022 article titles using our quantum-inspired binary encoding. See how semantic fingerprinting enables instant, meaningful search without AI training or complex infrastructure.
While Tejas demonstrates our general-purpose encoding on text data, PARSEC applies this same breakthrough to earthquake waveforms—a patented application that transforms seismic analysis through physics-first intelligence.
Get Started
Whether you're a seismologist seeking deeper insights, an insurance company needing better risk assessment, or a government agency improving early warning systems, PARSEC can transform your earthquake analysis capabilities.