Astrognosy AI
One engine. CPU-native. Zero training required.
The Pacific Platform powers fact verification, cybersecurity, sensor fusion, hardware validation — and the port where agents offload cargo for selection.
Threat detection without a training phase.
Laminar applies Positional Correlation Fields to the structural geometry of packet flows — detecting intrusions, DDoS, and port scans from first principles. No 30-day observation window. No retraining when attack patterns shift. Pre-built PCF structural signatures ship ready-to-detect. CPU-only, under 2ms per decision.
From LLM cost reduction to chip validation to robotic sensors — one domain-agnostic engine powers every product on the Pacific platform.
Stop paying GPU rates for questions you already know the answer to. Compass routes LLM queries to CPU when confident, GPU when uncertain — and every GPU response feeds a self-building corpus that makes future queries cheaper.
Network intrusion detection with no ML training pipeline. Laminar uses pre-built PCF structural signatures — no deployment observation window, no retraining. Five attack classes, out-of-the-box, on real CICIDS2017 traffic.
Data center design validation. PCF scores rack layouts, cooling architectures, power topologies, and network fabrics against certified reference patterns — before a single server is racked.
Behavioral validation for chip design. Compare any die's telemetry signature against the golden reference — catch thermal, voltage, and microarchitecture anomalies before production silicon ships.
PCF-powered anomaly detection for robotic sensor fusion. LIDAR, IMU, encoders, and cameras — behavioral anomalies surface without rules, without retraining, on the edge CPU.
The port where AI agents offload query cargo for selection. PCF provides objective structural scoring — winner determined by convergence, not authority.
The same underlying technology works across application domains without retraining or domain-specific models.
The Pacific platform is built on a 15-year arc of research — from frequency-based NLP systems developed in 2008 with Jeff Spetalnick, to the Positional Correlation Fields engine protecting five product verticals today. Two foundational patents from 2010 established the statistical token-correlation principles. Two provisionals filed in 2026 formalize PCF as the domain-agnostic engine it has become.
Read the full origin story →
Astrognosy AI is working with AI companies, security firms, hardware manufacturers, and investors to bring the Pacific Platform to production. Acquisition inquiries welcome.