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Jobs at Common Computer Inc

Common Computer Inc. is a Seoul-based enterprise AI company that builds "AI Network Enterprise," an on-premise platform connecting autonomous AI agents, internal systems, and organizational knowledge without relying on external SaaS. Its solution combines agent-to-agent (A2A) collaboration, MCP-based integration with internal ERP/systems, and knowledge graph technology to deliver secure, accurate AI automation for enterprises operating in closed/air-gapped network environments. Clients include large Korean enterprises such as SK Networks (Walkerhill hotel), Kakao Pay Securities, and InBody.

Job market intelligence

Common Computer Inc. market pulse

Daily demand, hiring breadth, and normalized monthly compensation for jobs in this pillar.

Open jobs
2

As of 2026-08-13

Hiring companies
1

Distinct employers

New this week
2

+2 vs prior week

Job velocity
Low activity

7 days vs previous 7 days

Median pay
Not enough salary data

Hidden until 10 samples (0 available)

Opportunity activity

Open roles, employers, and newly listed jobs by day

Monthly pay range

USD-converted median and 25th–75th percentiles

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We publish pay trends once at least ten jobs in this pillar contain comparable USD salary data.

Earlier dates are reconstructed from each job’s first and last observed dates; new daily samples are exact snapshots.

Common Computer Inc. logo
Common Computer Inc.

Common Computer Inc. is a Seoul-based enterprise AI company that builds "AI Network Enterprise," an on-premise platform connecting autonomous AI agents, internal systems, and organizational knowledge without relying on external SaaS. Its solution combines agent-to-agent (A2A) collaboration, MCP-based integration with internal ERP/systems, and knowledge graph technology to deliver secure, accurate AI automation for enterprises operating in closed/air-gapped network environments. Clients include large Korean enterprises such as SK Networks (Walkerhill hotel), Kakao Pay Securities, and InBody.

Seoul, KR
About Common Computer Inc.

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.

About Common Computer Inc.

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.

View organization details

Common Computer Inc. is a Seoul-based enterprise AI company that builds "AI Network Enterprise," an on-premise platform connecting autonomous AI agents, internal systems, and organizational knowledge without relying on external SaaS. Its solution combines agent-to-agent (A2A) collaboration, MCP-based integration with internal ERP/systems, and knowledge graph technology to deliver secure, accurate AI automation for enterprises operating in closed/air-gapped network environments. Clients include large Korean enterprises such as SK Networks (Walkerhill hotel), Kakao Pay Securities, and InBody.

View all 31 skills
View organization details

Common Computer Inc. is a Seoul-based enterprise AI company that builds "AI Network Enterprise," an on-premise platform connecting autonomous AI agents, internal systems, and organizational knowledge without relying on external SaaS. Its solution combines agent-to-agent (A2A) collaboration, MCP-based integration with internal ERP/systems, and knowledge graph technology to deliver secure, accurate AI automation for enterprises operating in closed/air-gapped network environments. Clients include large Korean enterprises such as SK Networks (Walkerhill hotel), Kakao Pay Securities, and InBody.

View all 26 skills