Syno Compute X offers an Edge AI platform that unifies industrial data from diverse protocols for real-time analysis and decision-making. Its X·Neurons platform enables AI agents to process data locally, breaking down silos and optimizing operations in manufacturing, smart buildings, and smart grids.
Funding
Funding not disclosed
Founders
Product
Problem
The proliferation of diverse industrial protocols and legacy systems creates data silos, hindering real-time analysis and intelligent decision-making. This lack of interoperability increases integration costs and complexity, limiting the effective deployment of AI and IoT solutions in manufacturing, smart buildings, and smart grids.
Solution
Syno Compute X provides an Edge AI platform, X·Neurons, designed to unify disparate data sources and enable intelligent decision-making at the edge. The platform leverages federated computing and learning to process data locally, enhancing speed and security. It integrates AI agents with real-time data processing capabilities, breaking down protocol barriers for seamless connectivity and optimized edge operations. This approach ensures data integrity and facilitates the development of robust AI models tailored for industrial environments.
Target Audience
The primary target audience includes enterprises in manufacturing, smart building management, and smart grid operations seeking to implement advanced AI and IoT solutions for enhanced efficiency and data-driven decision-making.
Features
- **X·Neurons Platform**: An AI expert system-driven edge computing platform for manufacturing, smart buildings, and smart grids.
- **Edge AIoT Capabilities**: Real-time data analysis at the edge, reducing cloud dependency and improving operational efficiency.
- **Expert System Integration**: Incorporates domain knowledge and AI self-learning for dynamic control strategy optimization.
- **Low-Latency Computing**: Achieves millisecond-level decision-making and stable data transmission for time-sensitive applications.
- **Protocol Adaptation**: Supports over 80% of industrial market communication protocols, enabling seamless data integration from heterogeneous sources.
- **Zero Trust Security Architecture**: Implements end-to-end encryption, point-to-point authentication (ECDiffie-Hellman), and continuous verification mechanisms.
- **Federated Learning**: Enables collaborative AI model training across distributed edge devices without sharing raw data, preserving privacy.
- **Federated Computing**: Optimizes resource utilization and load balancing across edge nodes through distributed computation.
- **Active-Active High Availability**: Ensures continuous system operation and data integrity through redundant, active-active cluster configurations.
- **No-Code AI Development**: Provides a user-friendly interface for AI application development with integrated expert systems for control optimization.