SignalBrain-OS

Deterministic Autonomy on Local Silicon

The first AI kernel that uses topology instead of neural networks for O(1) structural recognition.

5 Domains · 42 Tests · 15 Patents · Sub-5ms Edge Latency · Zero Cloud Dependency

What is SignalBrain-OS?

SignalBrain-OS is a deterministic autonomy kernel that uses H₀ persistent homology (topological data analysis) to create structural fingerprints from raw sensor data — not neural network inference.

This gives it three properties no other AI framework has:

Property	What It Means
O(1) Recall	Recognizes any previously seen pattern in constant time via hash lookup, regardless of database size
Deterministic	Same input → same fingerprint → same decision. Every time. Auditable.
Edge-Native	Runs on local silicon. Zero cloud dependency. Works air-gapped (DDIL)

The core insight: Topology is invariant to noise, rotation, and scale. A LiDAR point cloud, CT scan, radar return, or network flow all have measurable topological structure. SignalBrain-OS exploits this to achieve structural recognition faster than any neural network.

5 Proven Domains

Domain	Engine	Latency	Key Capability	Proof
🤖 Robotics	Apex17 Spatial	35ms CUDA	1M point cloud → topological scene identity	run_robotics_proof.py
💊 Healthcare	Apex17 Clinical	4.1ms	CT/MRI/ECG/Labs → 3-agent council → acuity score	run_clinical_proof.py
🎯 Defense & ISR	Apex17 ISR	4.5ms edge	SAR/SIGINT/IMINT → emitter fingerprint → ROE-auditable	run_isr_proof.py
🔐 Cybersecurity	Apex17 Cyber	2.5ms edge	NetFlow/DNS/EDR → zero-day topology → NIST-auditable	run_cyber_proof.py
📈 Markets	Regime Detector	0.16ms CPU	OHLCV → regime fingerprint → O(1) regime recall	run_canonical.py

Every claim is backed by a runnable proof script. See proof-artifacts/ for the complete test suite.

How It Works

Raw Sensor Data → H₀ Persistent Homology → 64-bit Fingerprint → O(1) Hash Recall → Council Consensus → Policy Gate → Decision
     │                    │                       │                    │                    │               │            │
  LiDAR/CT/SAR     Topological features    Deterministic hash    SceneMemory/        3-agent debate    Apex17       Auditable
  NetFlow/OHLCV    Birth-death pairs       Locality-sensitive    RegimeMemory/       Consensus ≥2/3    Policy       trace
                                                                 EmitterMemory                        Compiler

The Pipeline (Sub-5ms)

Signal Ingest — Raw sensor data (LiDAR, CT scan, radar, NetFlow, market data)
H₀ Topology Extraction — Persistent homology computes connected components and persistence diagrams
Fingerprint — Topology compressed into deterministic 64-bit hash via locality-sensitive hashing
O(1) Memory Recall — Hash lookup in domain-specific memory store (constant time, regardless of DB size)
Council Consensus — 3-agent modality-gated council debates and votes (≥2/3 required)
Policy Gate — Apex17 compiler enforces domain-specific rules (ROE/FDA/NIST)
Decision + Audit — Deterministic output with full provenance chain

SignalBrain-OS vs. Everything Else

Capability	SignalBrain-OS	LangChain	AutoGPT	CrewAI	Anduril Lattice
Deterministic Replay	✅ Merkle-anchored	❌	❌	❌	❌
O(1) Recall	✅ Hash table	❌ O(n)	❌ O(n)	❌ O(n)	❌
Edge-Native (No Cloud)	✅ Local silicon	❌ Cloud API	❌ Cloud API	❌ Cloud API	✅
Policy Compiler	✅ Apex17	❌	❌	❌	Partial
Sub-5ms Latency	✅ All domains	❌ seconds	❌ seconds	❌ seconds	Partial
Topology-Based	✅ H₀ PH	❌ Neural	❌ Neural	❌ Neural	❌ Neural
Patents Filed	15	0	0	0	Classified
Cross-Domain (5+)	✅	❌	❌	❌	Defense only
Auditable (ROE/FDA/NIST)	✅	❌	❌	❌	ROE only

Run the Proof Suite

# Clone the repo
git clone https://github.com/whitestone1121-web/Signalbrain-OS.git
cd Signalbrain-OS

# Run all domain proofs
python3 proof-artifacts/benchmarks/run_robotics_proof.py
python3 proof-artifacts/benchmarks/run_clinical_proof.py
python3 proof-artifacts/benchmarks/run_isr_proof.py
python3 proof-artifacts/benchmarks/run_cyber_proof.py
python3 proof-artifacts/benchmarks/run_canonical.py

# Expected: 42/42 tests passing, 100% success rate

Patent Portfolio

15 patent claims across 4 categories. Every patent maps to a production-deployed subsystem.

Category	Count	Coverage
GPU Infrastructure	5	O(1) scheduling, VRAM state management, persistent kernel
Data & Signal	5	Topological encoding, Merkle audit, replay tokens
Governance	3	Apex17 policy compiler, council consensus, sentinel validation
World Index	2	Cross-domain structural memory, O(1) recall architecture

View full patent portfolio →

Architecture

┌─────────────────────────────────────────────────────────────┐
│                     SignalBrain-OS Kernel                     │
├──────────────┬──────────────┬──────────────┬────────────────┤
│  Apex17      │  H₀ Topology │  O(1) World  │  GPU Council   │
│  Policy      │  Engine       │  Index       │  Consensus     │
│  Compiler    │  (PH + LSH)  │  (Hash Table)│  (3-agent)     │
├──────────────┴──────────────┴──────────────┴────────────────┤
│                    Domain Adapters                            │
├──────────┬──────────┬──────────┬──────────┬─────────────────┤
│ Robotics │Healthcare│ Defense  │  Cyber   │    Markets      │
│ (LiDAR)  │(CT/MRI)  │(SAR/SIG) │(NetFlow) │   (OHLCV)      │
└──────────┴──────────┴──────────┴──────────┴─────────────────┘

Links

Resource	URL
🌐 Website	signalbrain.ai
🚀 Live Demo	signalbrain.ai/demo
📊 Performance	signalbrain.ai/performance
🔬 Technology	signalbrain.ai/technology
📄 Whitepaper	signalbrain.ai/whitepaper
📋 Patents	signalbrain.ai/patents

Sovereign intelligence infrastructure. Not another wrapper.

whitestone1121-web/Signalbrain-OS