Description
Common Computer Inc. positions itself as an alternative to SaaS-based AI tools for enterprises that cannot use cloud services due to security or regulatory constraints (closed networks, no data export). Its flagship offering, "AI Network Enterprise," is built on three pillars: MCP for integrating fragmented internal ERP and enterprise systems on-premise; A2A (Agent-to-Agent) protocols enabling autonomous agents to self-distribute, negotiate, and recover from failures without human instruction; and a Knowledge Graph that structures organizational knowledge into a reusable, continuously self-learning asset with claimed ~98% accuracy. The platform lets people, autonomous agents, and enterprise data operate together within a firewall, with agents accessible via @-mentions in tools like Slack, and documents from Notion/M365 automatically becoming structured, searchable knowledge rather than static files. The company reports performance metrics such as running on a single GPU, 3.2x faster average response than ChatGPT, +15% search accuracy versus Google Drive, and zero external data transmission (air-gapped). Case studies include SK Networks' Walkerhill hotel (WISE decision-support system and an AI guide chatbot), Kakao Pay Securities' AI Contact Center, and InBody's personalized healthcare AI guide using body-composition and health data. Its clients are primarily large enterprises in regulated or security-sensitive industries such as hospitality, finance, and healthcare in South Korea.