Cogxi

As generative AI technology rapidly spreads, enterprises are
applying diverse AI technologies — AI Agents, RAG, sLLMs, and more —
to their operations. CogXi is an Agent Orchestration Platform that
integrates these technologies so enterprises can build and operate
AI services more easily and quickly.

The Agent Orchestration Platform

CogXi

With the advancement of LLMs and sLLMs, generative AI is
creating real business value across diverse industries.
CogXi helps enterprises build and operate generative AI services easily and reliably.

Data
Orchestrator
Customer DNA
Management
Agent
Orchestrator
Bot Service
Management
CogXi
1

Text Generation & GenAI Configuration Tools

CogXi improves the performance of VectorDB and chunking/indexing algorithms for Text Generation LLMs and RAG configuration, providing tools that let enterprise clients easily configure and operate GenAI technology.

2

Enterprise AI Agent & Virtual Assistant Platform

CogXi provides tools that let enterprise clients easily configure and operate 'AI Agents', 'virtual assistants', and 'task-support agents,' improving productivity and management efficiency.

3

Agent-Based AI Platform

CogXi develops and combines individual agents so 'chatbots', 'AI Assistants', and 'virtual assistants' can be easily implemented and managed, efficiently handling diverse business requirements.

4

Bot User Management Technology

CogXi manages conversation history and user feedback in an integrated way through short/long-term memory and context management for users. It provides chatbot service features built on Customer DNA architecture-based 'Bot User' management technology and Agent workflows, delivered via web application and API.

Key Features & Technologies

Key Features & Technologies of Cogxi

Standardization
Architecture
Scalability
Security
Convenience
Flexibility
Maintainability
Reliability
Standardization
  • Provides open API and developer SDK in REST form centered on the Service Orchestration Engine (SOE), with Docker container configuration management
Architecture
  • MSA-based application orchestration structure supporting multiple Foundation Models (F.M.) and Multi-Agent workflows
Scalability
  • Provides tools for expanding generative chatbots, not just conventional chatbots
  • Supports the industry-standard MCP (Model Context Protocol)
Security
  • Masks input information when personal information is included in a user query
  • Masks input via a secure keypad when sensitive information is entered on a mobile device
Convenience
  • Provides design tools and components for easily designing conversation flows
  • Provides a chatbot preview and developer debugging tools for intuitively grasping conversation flow
Flexibility
  • Checks prior conversation history through seamless agent handoff without switching chatbot screens
  • Supports flexible Web/App integration using the chatbot SDK
Maintainability
  • Provides diverse user history, including management of user conversation journeys
  • Provides per-user versioning and permission management for agents and tools, including change history, deployment history, and rollback
Reliability
  • Captures input/output information for the entire workflow occurring between Human – Agent – F.M. – Tools
  • Ensures reliability of information sources and response generation through tracking and management of messages/logs