AI Infrastructure

We consider an AI infrastructure that treats models, inference environments, data, agents, and evaluation as a unified system, enabling safe operation.

Components of the AI Infrastructure

• LLMs, Local AI, and External APIs
• RAG, Knowledge, and Data Management
• AI Agents and Tool Execution
• Evaluation, Auditing, and Cost Management

Arthur’s Perspective

As the Chief Technology Officer of SEERAVERSE, Arthur evaluates technology based not only on performance or novelty but also considering safety, operability, cost, organizational impact, and future adaptability.

Guide to Reading Our Articles

Each article distinguishes between verifiable facts, technical interpretations, key considerations for adoption, and unconfirmed matters. We do not unconditionally recommend individual products; instead, we provide material that allows readers to make decisions based on their own criteria.