12 patentable innovations. Estimated IP portfolio value: $12.5M.
| # | Innovation | Status | Est. Value |
|---|---|---|---|
| 1 | SIGIL Chain for AI Audit | Provisional ready | $2.5M |
| 2 | BFT Council for AI Governance | Provisional ready | $2.0M |
| 3 | Noise→Intuition Pipeline | Novel | $1.5M |
| 4 | Bio-Cyber Swarm Pheromones | Novel | $1.5M |
| 5 | MCP Tunnel Architecture | Novel | $1.0M |
| 6 | Open Ontology Defence | Provisional ready | $1.0M |
| 7 | 5D Sovereign Simulation | Novel | $0.8M |
| 8 | Multi-Domain Intuition Layer | Novel | $0.6M |
| 9 | Article 50 Passport Protocol | Provisional ready | $0.5M |
| 10 | Pheromone Decay Reinforcement | Novel | $0.4M |
| 11 | Waggle Dance Protocol | Novel | $0.4M |
| 12 | Sovereign Compute Mesh | Novel | $0.3M |
| TOTAL ESTIMATED IP VALUE | $12.5M | ||
Abstract: A method for generating immutable, Ed25519-signed cryptographic receipts for every AI decision in a distributed system. Each receipt contains a timestamp, action description, confidence score, and the digital signature of the issuing agent. Receipts form a hash-chained sequence anchored periodically to a public blockchain (Bitcoin) for external verifiability. This provides legally-defensible proof that an AI system made specific decisions at specific times, with specific inputs.
Novel claim: No existing system applies cryptographic audit chains to AI governance decisions with blockchain anchoring. Palantir's audit is centralized and non-cryptographic. Anduril's is proprietary and unsigned.
Abstract: A Byzantine Fault Tolerant (BFT) consensus mechanism adapted for AI governance. A council of 33 independent AI agents (hives) votes on every escalation decision above a confidence threshold. A quorum of 22-of-33 is required for action. This prevents any single AI agent from taking unauthorized action and provides mathematical proof of consensus.
Novel claim: BFT consensus has never been applied to AI safety governance. Existing approaches use human-in-the-loop or single-model safety filters. DEFONEOS distributes trust across 33 independent models.
Abstract: A multi-layer architecture that transforms raw sensor noise into actionable intelligence through four stages: Noise (raw signal ingestion), Frequency (pattern emergence detection), Intuition (subconscious knowing via simultaneous neural model activation), and Intelligence (actionable decision with BFT consensus). The intuition layer uses 14 neural models processing all signals simultaneously, producing a "gut feeling" before conscious analysis can explain why.
Abstract: A digital pheromone system enabling autonomous AI swarm agents to communicate through environmental markers rather than direct messaging. Six pheromone types (trail, alarm, target, danger, food, advisory) are Ed25519-signed, TTL-decaying markers deposited in a shared spatial registry. Agents read nearby pheromones to coordinate behavior without central control.
Abstract: A covert communication substrate using the Model Context Protocol (MCP) as a tunneling mechanism. Self-propagating "worm" agents establish onion-routed multi-hop tunnels across networks, with dead-drop capability for asynchronous communication. Tunnels are SIGIL-signed and authenticated, providing covert-yet-auditable communication channels.
Abstract: An open-source alternative to Palantir's proprietary Ontology. Objects (entities), Links (relationships), Actions (operations), and Functions (business logic) are defined in open RDF/OWL format. Compatible with SPARQL queries. Defence-grade semantic infrastructure that any government can inspect, modify, and own.
Abstract: A continuous simulation engine operating across five dimensions: X (longitude), Y (latitude), Z (altitude), T (time), C (cyber). Spawns worlds, runs offensive and defensive scenarios, SIGILs results, and learns. Not a sandbox — a persistent, self-improving simulation environment.
Abstract: A neural architecture that processes signals from multiple defence domains (land, sea, air, space, cyber, EW) simultaneously and generates intuition when cross-domain patterns converge. Unlike single-domain anomaly detection, this layer recognizes that 7 weak signals from different domains converging in one area indicate a coordinated event.
Abstract: A cryptographic passport for AI systems complying with EU AI Act Article 50 transparency requirements. The passport contains system metadata, training data provenance, model architecture, known limitations, and a SIGIL chain of all decisions. Portable across jurisdictions. Issued via article50_passport_issue tool.
Abstract: A time-decay model for digital pheromones where marker strength follows an exponential decay curve (TTL: 48h default). Pheromones can be reinforced by subsequent agents visiting the same location, creating emergent path optimization similar to ant colony optimization but for AI defence agents.
Abstract: Adapted from honeybee communication, a protocol where AI agents that discover high-value targets perform a "waggle dance" — a structured broadcast containing direction (bearing), distance (radius), quality (confidence), and type (target classification). Other agents that receive the waggle dance can autonomously decide whether to investigate.
Abstract: A heterogeneous compute mesh combining Apple Silicon (M4 primary, M2 edge), GCP VM (cloud mirror), and edge devices (Jetson, RPi, ESP32) into a single logical substrate. The mesh self-heals, auto-scales, and routes inference workloads to the optimal compute node based on latency, capability, and sovereignty requirements.
DEFONEOS uses a defensive patent strategy: we patent to prevent competitors from patenting our innovations, not to restrict use. All patents will include a royalty-free license for UK government and NATO use. Open source implementations remain free for all.
This is the difference between DEFONEOS and Palantir: Palantir's IP is a weapon. Ours is a shield.