Technical Specifications
System Architecture
AI Engine Core: Developed in Python and Rust for deterministic behavior and low-latency inference. Utilizes gRPC for cross-agent communication and protobuf serialization for compatibility.
On-Chain Layer: Built on BNB, using Anchor framework smart contracts to handle proofs, validator rewards, and consensus checks. Transaction throughput: 65,000 TPS (theoretical), with adaptive batching to prevent congestion.
Telemetry Agent: Written in Go for system-level performance, supporting Linux, macOS, and Windows. Default memory footprint: <80 MB; average CPU load: 1.5–2.2%.
Data Transport: TLS 1.3 + AES-256-GCM, ephemeral session key rotation every 15 minutes. Support for QUIC/HTTP3 in enterprise deployments.
Infrastructure
AI Detection Models
LatticeAI v1.3 — hybrid anomaly detection (autoencoders + gradient boosting)
Blockchain Anchor
BNB mainnet with fallback to testnet (cross-compatible for enterprise private chains)
Storage
Encrypted S3-compatible object store for temporary proof holding (<24h retention)
Deployment Options
Docker containers, Helm charts for Kubernetes, Windows installer package (.msi)
Monitoring Stack
Prometheus + Grafana for node health metrics
Version Control
GitHub Enterprise with signed commits and CI/CD pipelines using GitHub Actions
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