Shimbiri Marine Intelligence
Enterprise-Grade AI Platform for Marine Operations
Enterprise System Architecture
Distributed, scalable, production-ready infrastructure
Data Ingestion Layer
High-throughput NMEA 2000/0183 processing with redundant pathways and automatic failover. Handles 50Hz sensor streams from 200+ data points per vessel.
Stream Processing
Apache Kafka-based event streaming with Rust processors for ultra-low latency. Distributed across multiple availability zones with automatic replication.
AI Orchestration
Multi-model architecture routing queries to specialized AI engines. Gemini for manuals, Claude for reasoning, GPT-4 for conversation, Llama for edge.
Vector Database
Pinecone-powered semantic search across 2M+ pages of technical documentation. Distributed pods with automatic scaling and sub-second retrieval.
Time Series DB
TimescaleDB for high-resolution telemetry storage with automatic compression and retention policies. Optimized for marine operational patterns.
Edge Deployment
Containerized edge computing for vessel-local processing. Quantized Llama 3.1 70B for offline capability with automatic cloud sync when connected.
Self-Evolving Neural Architecture
The crown jewel of marine AI - a system that learns from every wave, every engine cycle, every journey
Layer 1: Sensory Ingestion
Layer 2: Pattern Recognition
Layer 3: Knowledge Synthesis
Layer 4: Evolutionary Adaptation
Knowledge Accumulation Over Time
Real-Time Data Pipeline
From sensor to insight in milliseconds
System Performance Metrics
Validated through 2 years of ocean testing
Technology Stack
Production-tested, enterprise-grade components
AI & Machine Learning
Data Infrastructure
Marine Systems
Infrastructure
Built by sailors who code. Not coders who sail.
Every line tested on the ocean. Every pattern learned from real failures.