Edge AI
Researching AI that runs on edge devices and validating practical deployment and operations in real-world environments.
→EDGE AI / ON-PREMISES GENERATIVE AI / HYBRID CLOUD
Researching Enterprise-Ready
Edge AI Through
Hands-On Practice.
EDGE AI LABORATORY researches and validates Edge AI architectures that combine On-Premises Generative AI, AI Agents, Data + AI, RAG, Hybrid Cloud, and Zero Trust, with a focus on security, operations, and practical enterprise use.
Edge AI Architecture
We design and validate enterprise AI environments by combining model runtimes, enterprise data, RAG, AI agents, networking, authentication and access control.
RESEARCH AREAS
Research Areas
We evaluate technologies from a vendor-neutral perspective, focusing on what enterprises actually need.
On-Premises Generative AI Infrastructure
Researching secure on-premises and local generative AI platforms for enterprise use.
→AI Agents
Designing and validating AI agents that autonomously support enterprise business processes.
→Hybrid Cloud
Exploring vendor-neutral infrastructure architectures that combine on-premises and cloud environments for the AI era.
→Data + AI / Knowledge (RAG)
Researching secure and effective ways to connect enterprise data and knowledge to generative AI and turn data into valuable answers and insights.
→OUR PRINCIPLESStart with the problem,
Start with the problem,
not the product.
EDGE AI LABORATORY is not built to promote any specific vendor or product. We evaluate the right combination of technologies based on objectives, constraints, security, and operational requirements.
01
Vendor Neutral
Independent technology evaluation without vendor lock-in.
02
Hands-on
Emphasis on insights and lessons learned through real implementation.
03
Enterprise Ready
Enterprise perspectives that include security and operations.
PROJECTS
Validation Projects
We combine technologies in working environments to validate architectures and operational approaches for enterprise use.
On-Premises Generative AI Infrastructure
Building on-premises generative AI infrastructure and validating security, performance, and operational characteristics.
Local LLMData + AIRAGEnterprise AI
Business Support AI Agents
Researching AI agents that assist with email, documents, knowledge search, and other business processes.
AI AgentWorkflowAutomation
AI Infrastructure Architecture
Designing flexible AI platforms that combine cloud and on-premises resources without dependence on a single vendor.
Hybrid CloudSecurityOperations
LAB NOTES
Lab Notes
Hands-on build procedures, validation results, and operational lessons are published on Ameba Blog.
EDGE AI / ARCHITECTUREValidating Enterprise-Ready Edge AI
View Articles ↗INFRASTRUCTUREValidating Enterprise-Ready Edge AI
Through Hands-On Practice
We share insights from building, validating, and operating the technologies behind enterprise AI, including On-Premises Generative AI, AI Agents, Zero Trust, and Data + AI.
Designing Enterprise Generative AI Infrastructure
Read →DATA + AI / RAGConnecting Enterprise Data and Knowledge to AI
Read →PUBLICATIONS
Published October 23, 2026 · Practical AI Series Vol.1
Difyではじめる オンプレミス生成AI構築入門
A practical introduction to building on-premises generative AI with Dify and Ollama
By Noboru Ugajin · Japanese-language edition
Build a local generative AI environment step by step, from Ubuntu Server and Docker to Ollama, Dify workflows and retrieval-augmented generation (RAG), using screenshots, commands and configuration examples.
Chapters 1–6 provide the foundation. Later chapters explore model routing, email classification and summarization, enterprise operations, and remote access with Cloudflare Zero Trust.
Kindle eBook · Written in Japanese. This is not an English translation.
See Amazon.co.jp for current pricing, availability and reading options.
PROFILE
Noboru Ugajin
宇賀神 登 · うがじん のぼる
Founder / Senior IT Consultant
EDGE AI LABORATORY
While working in the design, implementation, and operation of enterprise IT infrastructure, I research Edge AI, On-Premises Generative AI, AI Agents, and Hybrid Cloud. I share practical approaches to enterprise AI based on hands-on implementation and validation.
01
Senior IT Consultant
Supporting the design, implementation, and operational improvement of enterprise IT infrastructure.
02
Edge AI Researcher
Continuously implementing and validating Edge AI and Generative AI technologies.
03
Technical Author / Speaker
Sharing practical knowledge through blogs, books, and technical presentations.
RESEARCH INTERESTS
CONTACT
info@edgeai-lab.com →Technology Exchange, Writing & Speaking
For technical discussions, speaking requests, collaboration, or other inquiries, please contact info@edgeai-lab.com.