Huge Diamond
Network Service Corp.,
ANA, AI Network Assistant
ANA is a core system of AI Network Assistant which is built for AI agents framework. The detail componets about ANA are:
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Intuit Training Sentence Pre-Compiled Database, ICSDB.
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Intuit Process Unit for user's sentence interpreter, IPU.
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Job Process Unit, JPU.
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GPT Connector Unit, GCU.
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Local Retrieval Augmented Generation, Local RAG.
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Multiple Components SWARM Mechanism.
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Multiple function agents for Schedule, Video-Builder, QA Service, etc.
Based on these major functions, the ANA can provide many difference applications, such as Medical Care Service, or ISO-27001 AI Consulting Service, or more. The ANA also supports different user's interactive methods such like Instant Message System(Telegram, WhatsApp, Messenger, Singal, Zalo, etc.
Turbo AI (Pre-compiled AI Suite)
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Rapid AI Service Deployment: Quickly establish and implement enterprise-level AI services.
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Cost-Effective Hardware: Supports Nvidia-Spark DGX series, significantly reducing AI hardware costs by eliminating the need for high-end, expensive equipment.
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Simplified AI Service Building: Unique pre-compiled AI service technology, bypassing complex AI-LLM training processes for easier AI service deployment.
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Developer-Friendly ANA Sample Code: Provides ANA sample code for rapid AI service application.
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Comprehensive API Libraries: Offers API libraries for developers by using Python, C#, C/C++, and Java.
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Scalable AI Capabilities: API libraries support MCP protocol and Multiple Agents architecture for expanded AI functionality.
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Extensive LLM Support: System supports GGUF files, enabling the use of a wide variety of existing LLM multi-modal AI services.
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Flexible LLM Deployment: API libraries support both local and cloud-based LLMs, balancing security and convenience.
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Robust Debugging Tools: Provides developers with internal AI system debugging tools and multi-language (Chinese, English, Japanese) messages for stable AI service performance.
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Enhanced AI Service Expansion: Enables developers to focus on their domain expertise and integrate more AI-Agents, expanding AI service capabilities (e.g., security vulnerability scanning, security patrolling, HR AI, business assistants, etc.).
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Optimized AI Development for SMBs: Reduces AI deployment costs and improves efficiency for small and medium-sized enterprises.
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Turbo-AI suite scheduled for release in Q1 2026 under the Apache License.
MultiComponents SWARM System
A SWARM system is an TCP/IP message switching system for different agents. These agents are made by different purposes with Python, Java or C/C++/C#. Developers can use SWARM system to send/recevie/transfer their messages in a localhost or different hosts.
This SWARM system uses simple method to transfer messages between different agents (programs). For example, developer can design an agent to read an email system and transfers this mail content to a Log-Agent and a GPT-Agent to process the reaction. Another example is an UI agent recieives a message from user's input text, and sends the message to a GPT-Agent to process user's content.
SWARM system can be used for multiple hosts and transfers messages between different hosts, different agents (programs). This SWARM system allows developers define their own commands to extent their TCP/IP methods.
Case Study - Network PCAP Analysis Materials
To find out the network traffic which can lead us to understand the footprints of cyber attacking. Not only to sniffer a network but also to trace the track of user behavior.
We provide a lot of Network Behavior Analysis Studying Cases. Just like NSPA trainning courses, our course material files can be used as a passive network sniffer/packet capturing tool in order to analyze the abnormal behavior of network traffic. These materials and methods can also help you analyze PCAP files to find out malicious behavior from network environment.