Technical Specifications
A deep dive into the InteliMARIS architecture, roadmap, and core technologies.
Product Roadmap
Our product development follows a strategic, phased approach to deliver a complete system for marine vessel monitoring. Each phase builds on previous work, focusing on specific capabilities that enable the next stage of development.
Phase 1
Core Infrastructure
Building the foundation with sensor devices, data infrastructure, and initial AI capabilities.
Devices
IoT sensors and monitoring hardware
Data Cluster
Centralized data storage and processing
AI
Core intelligence and analytics engine
Phase 2
Management Tools
Deploying administrative interfaces and lightweight client applications.
Thin Clients
Lightweight interfaces for monitoring
Admin Portal
Comprehensive system management
Phase 3
User Experience
Developing primary user-facing applications and online presence.
App
Mobile application for end users
Website
Web platform and customer portal
Phase 4
Market Growth
Expanding user base and enhancing marketing capabilities.
Marketing
Growth and customer acquisition
Users
Expanded user base and communities
Goldilocks AI Alerts
Traditional Fixed Thresholds
Fixed temperature threshold: 80°F
Generates ~147 alerts/day High false positive rate
AI-Driven Dynamic Zones
Context-aware dynamic thresholds
Generates only 12 alerts/day Context-aware precision
AI Training Benefits
- Learns from historical patterns and seasonal variations
- Considers device-specific operating conditions
- Adapts thresholds based on maintenance schedules
- Continuously improves with each new data point
Technology Stack
Tech Stack Overview
Our technology stack is designed as a layered architecture, ensuring modularity, scalability, and maintainability. Each layer serves a distinct purpose, from user interaction at the top to foundational security and cloud infrastructure at the bottom.
How Layers Fit Together:
The App layer provides the user interface, consuming services from underlying layers. The Chat layer offers a natural language interface, often powered by the AI layer. The AI layer itself processes data stored and managed by specialized databases, performing complex analytics. All these services are hosted on our Cloud infrastructure, which provides APIs, ensures real-time data flow, and offers observability into system performance. Finally, the Auth layer underpins the entire stack, managing secure access and permissions across all components and for all users. Data flows upwards from sensors and databases through the AI and Cloud layers to be presented in the App or queried via Chat, with Auth ensuring security at every step.
App
The user-facing application layer, built with modern web technologies for a responsive and interactive experience. It provides interfaces for users and administrators to interact with the system and visualize data.
Chat
A conversational interface layer leveraging Large Language Models (LLMs) to enable users to ask questions and receive information in natural language. This simplifies data access and system interaction.
Technologies
- LLM Model
Features
- Plaintext Q&A
AI
The core intelligence layer where Machine Learning (ML) and Deep Learning (DL) models process data from various sources to provide predictive analytics, anomaly detection, and other smart features.
Technologies
- TSDB
- Postgres
- IoT DB
Features
- ML model
- DL model
Cloud
The infrastructure layer, managed and orchestrated using cloud-native tools. This ensures scalability, reliability, and efficient deployment and operation of the entire system, providing robust real-time data handling and APIs.
Technologies
Features
- API
- Observability
- Robust real-time data
Data Flow Architecture
User Interfaces & Visualizations
Data Processing & Analysis
Data Storage & Infrastructure