From experimenting to running AI in production.
AI Agent Development & Generative AI
We design, build, and operate AI agents, automation systems, and RAG (internal knowledge search) that embed generative AI such as Claude and OpenAI models into real business workflows.
Overview
Move from trying generative AI in a chat window to running it every day inside real workflows. We design and build AI agents together with the cloud foundation that runs them safely.
Document generation (quotations, reports), inquiry handling, data extraction and classification, internal knowledge search (RAG), and agents that work across multiple tools — we choose the architecture that fits your operation.
Our CEO teaches and speaks on Claude Code and Agent Skills, and we bring current practice — MCP, Agent Skills, tool integration, evaluation and guardrails — into client work.
What we offer
AI agent and automation development
Task-specific agents built on Claude / OpenAI APIs, with tool integration (MCP), workflow orchestration, and connections to Slack / Teams / existing systems.
RAG (internal knowledge search)
Knowledge search across internal documents, manuals, and past projects, including retrieval-quality evaluation and tuning.
PoC and feasibility studies
Short 1–2 month PoCs to validate impact and feasibility, with security and cost design aimed at production from day one.
Cloud foundation for agents
Agent runtime on AWS and other clouds with credential management, isolated execution, audit logging, and cost visibility.
How it works
- STEP 1
Discovery
Map the workflow and expected impact; decide the scope for AI.
- STEP 2
PoC
Build small, validate accuracy, impact, and cost.
- STEP 3
Production build
Build the production system including security and operations.
- STEP 4
Operate and improve
Continuously improve quality and experience based on usage.
FAQ
Which generative-AI models do you support?
Anthropic Claude, OpenAI (GPT models), and Google Gemini, including enterprise access via AWS Bedrock or Azure OpenAI with no training on your data. We pick the model that fits your use case and budget.
Will our data be used to train AI models?
We use API access or enterprise plans where inputs are not used for training, and define data residency and access control at design time.
Related news
- Talks & events
CEO Motoki Arai spoke at AI BRIDGE KUMAMOTO 2026 on running AI agents in the cloud
On September 5, 2026, CEO Motoki Arai spoke at “AI BRIDGE KUMAMOTO 2026 — Bringing the power of AI to Kumamoto,” explaining how to run AI agents in cloud environments: architecture, benefits, and caveats.
- Media
Our CEO appeared on the 134K-subscriber YouTube channel of CPA “Inochan-sensei”
CEO Motoki Arai appeared on CPA Yoshiro Inoshita's YouTube channel (134K subscribers) in the video “A CPA is stunned watching AI produce a quotation in seconds,” demonstrating AI in practice and discussing today's software-development landscape.
- Talks & events
CEO Motoki Arai spoke at the MIRAICHI seminar “Introduction to Agent Skills”
Spoke at the MIRAICHI online seminar “Growing Claude Code into Your Own — Introduction to Agent Skills,” covering how Agent Skills work, how to design them, and security considerations.
Talk to us about AI Agent Development & Generative AI
AI agents, cloud, or software — reach out by form or email. We work remotely with clients across Japan.
Initial consultation and quotes are free
Hamamatsucho Diamond Bldg. 2F, 2-2-15 Hamamatsucho, Minato-ku, Tokyo 105-0013, Japan