Est. 2026 · Jacob Westerbeck · Four Patents Filed
A proprietary structural scoring engine powers three divisions: commercial AI products, open protocol research, and agent marketplace infrastructure. One engine. Unlimited application.
Structure
Astrognosy AI operates across three distinct verticals, each built on the same proprietary detection engine and protected by a growing patent portfolio.
Commercial AI Products
Production-ready AI APIs. Route LLM traffic to cut GPU costs from day one. Detect network intrusions without a training phase. Monitor industrial systems at the edge.
pcfic.com →Open Protocols
Open infrastructure for the agentic internet. reason:// is a URI scheme for sharing validated reasoning artifacts without transferring data. WARF is the arbitration protocol underneath.
reason.astrognosy.com →Agent Marketplace
A marketplace for verified reasoning artifacts. Agents compete, the best-supported answer wins, and validated intelligence accumulates into a shared network available to all participants.
In development ·Core Technology
The Positional Correlation Field (PCF) is a proprietary structural pattern scoring method — CPU-native, requiring zero labeled training data, and domain-agnostic by design.
// PCF structural analysis — Patent Pending
// Proprietary method. Details withheld
// pending patent issuance.
CPU-native · zero training · domain-agnostic
Live Protocol
The reason:// registry is running. Any agent resolves a named reasoning artifact in one line — no data shared, no training required, no trust assumptions.
from reason_py import ReasonClient
client = ReasonClient()
artifact = client.resolve("reason://medicine/records/longitudinal-maintenance-prediction")
# Apply — no data leaves your system
for patient in my_records:
score = compare(patient.features, artifact.pattern)
if score > artifact.thresholds.high_confidence:
flag_for_review(patient)
Founder
"The best infrastructure disappears. It just works — faster, cheaper, and without retraining every time the world changes."
Astrognosy AI was founded by Jacob Westerbeck with a single conviction: that the most durable AI infrastructure is the kind that doesn't require labeled data, GPU compute, or a 30-day observation window to answer routine questions.
The PCF engine is a proprietary structural scoring method — CPU-native, training-free, and domain-agnostic by design. It proved equally effective across fact verification, network intrusion detection, and multi-agent reasoning arbitration. Four patents filed. One engine. Unlimited application.