Pacific by Astrognosy AI
4 Patents Filed Compass Live Laminar Live

Astrognosy AI

The Infrastructure Layer
for Verifiable 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.

25%
GPU Cost Reduction
F1 0.969
Best Security F1
~1.5ms
Detection Latency
0
Training Samples
4
Patents Filed
Network Security · By Pacific

Laminar

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.

Brute Force
F1 0.969
CICIDS2017 · real traffic
DDoS
F1 0.949
CICIDS2017 · real traffic
Port Scan
F1 0.932
CICIDS2017 · real traffic
Detection Latency
~1.5ms
CPU-only · no GPU required
Zero training samples in all detection tasks. Results on real CICIDS2017 dataset.

Five Products. One Engine.

From LLM cost reduction to chip validation to robotic sensors — one domain-agnostic engine powers every product on the Pacific platform.

Compass
LIVE

Compass

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.

25% GPU cost reduction · day one · validated
75% routing precision at go-to-market threshold
Self-building corpus · zero human labeling
Never worse than baseline · only improves
Try Compass →
🛡️
BETA

Laminar

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.

BruteForce F1=0.969 · DDoS F1=0.949
PortScan F1=0.932 · DoS F1=0.910 · Web F1=0.885
~1.5ms latency · CPU-only · zero training
Product Page →
🏗️
DESIGN

Stratum

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.

TIER-III/IV structural design scoring
4 layers: physical, thermal, power, network
Design-phase · no CFD runs required
Explore Stratum →
⚙️
SILICON

Forge

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.

Tape-out validation · Intel / Xeon
Structural signature vs. golden reference comparison
Zero labeled defect data required
Explore Forge →
🤖
ROBOTICS

Beacon

PCF-powered anomaly detection for robotic sensor fusion. LIDAR, IMU, encoders, and cameras — behavioral anomalies surface without rules, without retraining, on the edge CPU.

LIDAR · IMU · Encoder · Camera
Edge-deployable · no cloud dependency
Obstacle, drift & degradation detection
Explore Beacon →
COMING SOON

Wharf

The port where AI agents offload query cargo for selection. PCF provides objective structural scoring — winner determined by convergence, not authority.

Competitive multi-agent verification
Cryptographically auditable decisions
Built on the Pacific Platform
Notify me when live

One Engine. Many Applications.

The same underlying technology works across application domains without retraining or domain-specific models.

Natural Language

  • Fact verification against reference corpora
  • Contradiction detection across sources
  • LLM hallucination reduction
  • Content moderation at scale

Cybersecurity

  • Network intrusion detection (zero training)
  • DDoS, brute force, port scan, web attacks
  • Zero-day detection via structural anomaly
  • Kill-chain correlation

Hardware Verification

  • CPU instruction stream hazard detection
  • Spectre-class side-channel probing
  • ISA compliance verification
  • Intel AVX-512 & AMD EPYC optimized

Robotics / AV

  • Multi-sensor fusion confidence scoring
  • GPS-denied localization confidence
  • Sensor failure isolation
  • Safety level classification (L0–L3)

Industrial IoT

  • Predictive maintenance (SCADA/ICS)
  • Degradation trend prediction
  • Anomaly detection without labeling
  • SWaT dataset validated

AI Infrastructure

  • Autonomous RL corpus expansion (VASE)
  • Hybrid CPU/GPU routing layer
  • EU AI Act Art. 13 audit trail
  • Deterministic cache: 60–83% hit rate

15 Years of Research.
Now Protected.

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 →

4
Patents Filed (2010–2026)
15+
Years of Prior Art
5
Protected Product Verticals
2010
US20100131900A1 — Frequency-Based Language Analysis
Predictive input, OCR enhancement, compression and translation via corpus frequency analysis. Foundational statistical token co-occurrence prior art.
View on Google Patents ↗
2015
US9122318B2 — Reducing Keyboard Data Entry Errors
Dynamic statistical key prediction and visual distinction using corpus-learned positional likelihoods. Error minimization via structural next-token scoring.
View on Google Patents ↗
February 2026
Patent 1 — PCF Core Framework (Non-Provisional)
Positional Correlation Fields for CPU-native verification. Structural signature computation, dual-signal anomaly detection, hybrid routing, deterministic caching. 42 claims.
U.S. Prov. No. 63/978,633 · Filed Feb 9, 2026
March 2026
Patent 2 — Domain-Agnostic PCF + VASE Agent
Extends PCF to NLP, cybersecurity, hardware telemetry, robotics, and IoT. Autonomous RL corpus agent (VASE) and edge deployment. 66 claims.
U.S. Provisional · Filed March 2026
March 2026 — Filed
Patent 3 — Wharf Protocol
Multi-agent competitive verification using PCF structural convergence as objective arbitration. Agents offload query cargo for selection — winner by convergence, not authority. 50 claims.
March 2026 — Filed
Patent 4 — WARF P2P Protocol
Peer-to-peer reasoning exchange between autonomous agents. Non-invertible PSV signature transfer, zero-shot knowledge parity verification. 25 claims.
Inventor: Jacob Westerbeck  ·  Company: Astrognosy AI

Ready for Pilots & Partnerships

Astrognosy AI is working with AI companies, security firms, hardware manufacturers, and investors to bring the Pacific Platform to production. Acquisition inquiries welcome.

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