Sovereign infrastructure for regulated mobile AI — from agent runtime to device attestation.
Enterprise AI Infrastructure. Post-Quantum Secure. Compliance-Native.
Deploy autonomous AI agents with complete data sovereignty. No cloud dependencies. No compromises.
Agent Execution Pipeline
A full runtime with cost accounting, HITL gates, PII evaluation, and constitutional constraints — not a wrapper around an LLM SDK.
- Core loop state machine: plan → tool-execute → reflect → budget-check → stream
- Constitutional AI constraints enforced in the pipeline, not by prompt
- Token budget gates prevent agents from overrunning cost limits
- Human-in-the-loop checkpoints for high-stakes decisions
- Sub-agent delegation protocol with fan-out and collective reasoning
Context Assembly
Before any LLM call, a 7-provider pipeline assembles context and three post-processing stages filter it. The model sees a curated, policy-filtered window.
- Seven context providers: RAG, graph-RAG, document retrieval, customer data, compliance state, financial context, ontology
- Neo4j ontology-aware reasoning on top of vector RAG for richer context than embeddings alone
- Security filter removes PII and enforces access boundaries
- Prioritizer re-scores by keyword relevance and recency
- Token budget enforcer ensures the assembled context fits model limits
Compliance as Code
20+ regulatory frameworks modeled as code with enforcement handlers, evidence collection, and scoring. Compliance is enforced at runtime, not audited after the fact.
- GDPR, HIPAA, SOC 2, NIST 800-171, FedRAMP, ISO 27001, CMMC, and 13+ more frameworks
- Each framework has enforcement handlers that block non-compliant actions in real time
- Automated evidence collection tied to every agent action
- POAM tracking and SPRS scoring for continuous compliance posture
- Audit trail with cryptographic integrity — every decision is traceable
Trust & Identity
Three interlocking trust layers: privilege-based access control, self-sovereign identity for agents, and hardware device attestation.
- PBAC (Policy-Based Access Control) — privilege checks, never role identity
- SSI (Self-Sovereign Identity) — DID-based cryptographic identities for agents, not just humans
- Device attestation via Apple App Attest and Google Play Integrity with server-issued nonces
- Non-human principals are first-class — agents carry verifiable credentials
- Master key material never touches JavaScript on either endpoint
Post-Quantum Cryptography
NIST-standardized algorithms at Level 3 and Level 5 security. Defense-in-depth dual-layer: TLS 1.3 outside, post-quantum AWP inside.
- Level 5: ML-KEM-1024 key exchange and ML-DSA-87 signatures for sovereign and defense workloads
- Level 3: ML-KEM-768 key exchange and ML-DSA-65 signatures for standard enterprise deployments
- XChaCha20-Poly1305 payload encryption for every frame
- Same Rust code on both phone and server — no JavaScript in the crypto path
- Runs on hardware as small as an ESP32-S3 with 2.1s cold boot
AethyrWire Protocol
Custom binary-framed transport where every session is cryptographically bound to a verified device identity and a tenant boundary.
- 638-byte binary header carrying the sender's identity hypervector
- Every session cryptographically bound to device identity and tenant boundary
- Attestation-gated by Apple App Attest and Google Play Integrity
- Defended against confused-deputy and replay attacks at the auth boundary
- TCP-based with post-quantum encryption per frame, TLS 1.3 outer layer
MCP Integration & Learning Loop
Model Context Protocol as the universal tool bus, plus RLHF in production — the system extends and improves from its own operation.
- MCP clients (Node, Stdio, External), session manager, tool bridge, and discovery cache
- Every external integration registers through MCP — tools discovered at runtime, not hardcoded
- RLHF feedback from human reviewers feeds preference pairs and principle extraction
- Adapter promotion with safety dialogs — atomic updates, not gradual drift
- Batch orchestration and fine-tuning triggers run in the learning loop
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