Astrognosy AI Confidential — March 2026
Investor Brief — AI Fund Application

Astrognosy AI

The Context Layer for the Agentic Internet

Pacific is infrastructure for how AI agents share, verify, and exchange learned context across organizational and architectural boundaries — without moving raw data.

Pacific Platform  ·  Four Filed Patents  ·  Five Domains
astrognosy.ai  /  pcfic.com
Astrognosy AI The Problem
02 / Problem

Every AI agent has two
knowledge states.

  • Training weights — static, months-old, expensive to update
  • Context window — ephemeral, dies with the session, never shared
Nothing in between.
  • No persistent, shareable, cross-agent learned context
  • Every agent is a silo — intelligence does not compound
  • Sharing embeddings or behavioral data violates privacy law at competitive boundaries

This is not a model problem. It is a protocol problem.
The web solved information silos in 1991 with HTTP + HTML. The agentic internet needs the same architectural primitive — built for reasoning, not documents.

Astrognosy AI The Transition
03 / Context

The web is ending.
Not dying — ending.

Browsers navigate between documents. Agents navigate between reasoning. The infrastructure for that transition does not exist yet.

Web Stack (1991–2024)
Addressing DNS / URL
Transport HTTP / HTTPS
Document HTML / CSS / JS
Discovery PageRank / SEO
Security SSL / TLS / Certs
→
Pacific / Agentic Stack
Addressing reason:// URI namespace
Transport WARF P2P exchange protocol
Document PSV + reasoning graph
Discovery Wharf leaderboard (structural convergence)
Security HMAC + empirical non-invertibility
Astrognosy AI The Technology
04 / Technology

Position-Sensitive Vector
PCF Engine

  • Sequential data compressed to a structural fingerprint
  • Works on any sequential domain: network packets, sensor readings, language, CPU instructions
  • Zero labeled training data required
  • CPU-only execution — no GPU dependency
  • Edge-deployable, stateless, deterministic
PSV Core Formula
σk  =  mean(PMIk) std(PMIk) + ε
k = position offset  |  PMI = pointwise mutual information  |  ε = 0.01
Key Properties
r = 0.0149
Non-invertibility  (threshold 0.05, margin 3.35×)
F1 = 1.0
Zero-shot cross-condition transfer (WARF P2P)
5 domains
No retraining across cybersecurity, IoT, NLP, silicon, robotics
Astrognosy AI Benchmarks
05 / Evidence

Proven across five domains.
One engine.

All products run on the same PCF engine — covered under Patent 2, Sections 1.1–1.5. No fine-tuning. No domain-specific retraining. No labels.

Product Domain Benchmark Dataset Result Note
Laminar Cybersecurity — NIDS CICIDS2017 F1 = 0.929 No labeled training required
Laminar Network anomaly UNSW-NB15 F1 = 0.798 Zero-shot generalization
Compass LLM routing Internal — 720 corpus 25% GPU reduction Threshold 0.70 validated
Beacon Industrial IoT / bearing CWRU Bearing F1 = 0.832 3-signal: Ball 0.758, IR 0.911, OR 0.819
Wharf Multi-agent arbitration WARF P2P Protocol F1 = 1.0 (zero-shot) B↔A parity, both directions

One engine. Five domains. No retraining. No labels. The architecture that generalizes this way is not an accident — it is the core IP claim.

Astrognosy AI Protocol Stack
06 / Architecture

Pacific is infrastructure,
not an app.

The correct analogy is not SaaS — it is TCP/IP. The value compounds with every node that joins the network.

Web Layer Pacific Equivalent Strategic Property
DNS reason:// URI namespace Agent-addressable reasoning graph
HTTP WARF P2P exchange protocol Transport-agnostic, schema-defined PSV exchange
HTML PSV + reasoning graph format The document is the compressed signal
PageRank Wharf leaderboard Structural convergence — math, not social
SSL / TLS HMAC-signed ads + non-invertibility Privacy is architecturally guaranteed, not policy-based

The network effect is mathematical, not social. Every agent that joins makes every other agent smarter. The moat does not depend on user acquisition — it depends on protocol adoption.

Astrognosy AI Defensibility
07 / Moat

Non-invertibility is the
architectural prerequisite.

Any competitor sharing learned context with embeddings or behavioral data hits privacy law at competitive boundaries. We don't — because raw data never moves.

The PSV is the reasoning. The reasoning is the product. The privacy IS the product.

GDPR and U.S. state privacy laws are an accelerant, not a headwind. Every regulatory tightening raises the cost of every alternative architecture.

Patent Portfolio
Patent 1
Filed Feb 2026
PCF core math — U.S. 63/978,633 (42 claims)
PSV formula, position-sensitive compression primitive
Patent 2
70 claims
Cross-domain applications — NLP, cybersecurity, IoT, silicon, robotics.
Signal C three-OR architecture, kurtosis bearing detection
Patent 3
47 claims
Wharf arbitration + advertising auction
Multi-agent verification, structural ad auction
Patent 4
25 claims
WARF P2P exchange protocol
Non-invertible PSV exchange, zero-shot cross-condition transfer
Astrognosy AI Revenue Model
08 / Business Model

The advertising model for
the agentic internet.

Real-time bidding rebuilt on structural privacy guarantees. Google's auction optimizes for clicks. Ours optimizes for structural truth.

User Agent
Edge device
generates PSV
→
PSV Signature
Non-invertible
Pearson r = 0.0149
→
Wharf Auction
Competing
advertiser agents
→
PCF Scores
relevance ×
honesty × bid
→
Placement
Winner serves.
Raw data: never transmitted.

The key architectural property: User PSV never transmitted to any advertiser. Not policy-gated — architecturally impossible. This is the only ad auction that can operate across competitive AI infrastructure boundaries without violating GDPR.

RTB
Real-time bidding architecture
0
Raw behavioral data transmitted
PCF
Structural truth scoring — the referee
Open
WARF spec — open standard, Astrognosy owns broker infra
Astrognosy AI Products
09 / Products

Pacific Product Suite —
Live, Beta, and Designed.

Product Domain Status Pitch
Laminar Cybersecurity (NIDS) Beta Enterprise NIDS. F1 = 0.929. No labels. No retraining. 38/38 tests passing.
Compass LLM Query Routing Live Cut LLM inference costs 25% day one. Grows as corpus matures. Never worse than baseline.
Beacon Industrial IoT / Edge Design Predictive maintenance, edge-deployable, multi-sensor anomaly detection.
Wharf Multi-Agent Arbitration Live (local) 3 competing Claude Haiku agents. PCF arbitrates. Leaderboard tracks structural accuracy.
reason:// Agent Addressing Built Agent URI namespace + PSV reasoning exchange. The DNS of the agentic internet.
Forge CPU / Silicon Validation Roadmap Chip behavioral validation, pipeline hazard detection. Patent 2 § 1.2.
Live demo available
pcfic.com
Astrognosy AI Timing
10 / Why Now

The window is
open right now.

  • Browser → agent transition is underway. Every major AI company is building agents. The protocol layer is undefined. First-mover on protocol means network effect compounds from day one.
  • Andrew Ng's Context Hub (6K+ stars in days) validates: the agent-to-agent sharing problem is now publicly named. chub solves the documentation layer. We are building the reasoning layer.
  • The privacy regulatory environment (GDPR, CCPA, emerging AI governance) makes raw behavioral data sharing increasingly untenable across competitive boundaries. Non-invertible PSV is the only architecture that works.
  • CPU-native execution means the product runs on existing enterprise hardware. No GPU procurement cycle. No cloud dependency. Deploys into infrastructure that already exists.
  • Patent priority dates are being established now. The core math (Patent 1) was filed February 2026. The protocol stack (Patents 2–4) is filing in March 2026. The window for prior art establishment closes as the space fills.
Astrognosy AI The Ask
11 / Partnership

Partnership + capital to
build the layer.

We are not asking for money to figure out if this works. The math is done. The benchmarks are real. The IP is filing. We are asking for capital to execute.

  1. File and prosecute patent portfolio — Patents 2, 3, and 4 are drafted and ready (70 + 47 + 25 claims). Legal costs are the critical path item right now.
  2. Deploy Laminar to enterprise — Production-ready, 38/38 tests passing, API built. Needs sales motion and SOC 2 process, not more engineering.
  3. Launch Compass to LLM operators — Live API, validated GTM numbers (25% GPU reduction at threshold 0.70). Needs operator-tier contracts and integration support.
  4. Build the broker agent + auction infrastructure — The revenue model requires the Wharf auction node in production. Architecture is designed. Implementation is next.
  5. Establish WARF as an open standard — Publish the protocol spec, launch the public GitHub repo, and begin standards-body engagement. Astrognosy owns the broker. The moat compounds with every node that joins.
Astrognosy AI Astrognosy AI — March 2026
12 / Close

"The web solved information silos. Nobody has solved reasoning silos. We have the math, the IP, and the working infrastructure. The transition is happening with or without the right protocol. We are building the right protocol."

Jake Westerbeck
Founder — Astrognosy AI
jakewesterbeck@gmail.com  /  pcfic.com
Patent 1 Filed
U.S. 63/978,633
February 2026
Patents 2–4
142 total claims
Filing March 2026
Benchmarks
CICIDS F1 = 0.929
5 domains validated
Non-Invertibility
Pearson r = 0.0149
3.35× margin vs. threshold
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