AI Solutions
From Claude, ChatGPT, and Gemini integration design to RAG systems, AI agents, and in-house enablement.
An official Anthropic partner that takes AI past the PoC stage.
Certified for our track record in Claude integration, RAG, and agent development.
We Run Our Own Products
We build and operate AI products like the AI Calls phone assistant in production.
Verification architectures and implementation guides are public on our blog.
Bilingual JA / EN
Requirements, development, and documentation in both Japanese and English.
Not generic "AI consulting." Four focused service areas, each with clearly defined deliverables.
We benchmark Claude Enterprise / API, ChatGPT, and Gemini, then design the model choice and architecture that fits your workflows, data, and security requirements. Prompt design and usage guidelines are included, so your teams can use AI with confidence.
We build search systems where AI answers with cited sources from your internal documents: policies, meeting notes, manuals. Retrieval accuracy is measured quantitatively before anything goes to production, with special attention to Japanese-language edge cases.
Using MCP (Model Context Protocol), we connect AI to accounting SaaS and internal systems so routine work runs autonomously. Critical operations always require human approval: human-in-the-loop by design.
With an AI-native development process built around Claude Code, we take products from prototype to production with a small team on a short timeline. Delivery is not the end: we stay until your in-house team can run and extend the system independently.
Proof
No invented case studies with inflated numbers. Here is what we actually run in production and publish in the open.
Our Product
A SaaS where AI handles first-line phone response. We designed it, built it, and run it in production ourselves, with continuous improvement. What we propose to clients is what we have already tested on ourselves.
Visit the service siteField Test
We connected Claude to the official freee MCP server so AI executes journal entries and invoicing, and published the setup and reasoning as an article.
Read the articlePublished Research
We built an automated evaluation platform for non-deterministic AI agents, borrowing techniques from semiconductor verification, and published the design on our blog.
Read the articleWe learn your current workflows, data, and system landscape, and give you an honest assessment of whether AI is the right tool for the problem. This stage costs nothing.
We validate impact with a minimal build. Accuracy, cost, and operational load are measured in numbers, so you have real evidence to decide whether to proceed or stop.
We implement at production quality: integration with existing systems, permissions and security, and monitoring. Staged releases keep the impact on daily operations low.
We keep accuracy high as models update and your business changes. Technology handover for in-house operation happens in this stage.
Pricing is quoted per project, based on data readiness, the number of connected systems, and security requirements. Standalone PoC engagements are welcome.
Every project is quoted individually, because cost depends on the state of your data, the number of systems we connect to, security requirements, and the scope of ongoing support. If you want to start small, we also take on standalone PoC (proof-of-concept) engagements. A free consultation is the fastest way to get a realistic estimate.
From the first conversation to the start of a PoC is typically 1 to 2 weeks, and the PoC itself takes 2 to 6 weeks. Production implementation ranges from a few weeks to several months depending on the systems involved. We give you a schedule estimate in the first consultation.
Enterprise APIs for Claude and ChatGPT can be contracted so that your data is never used for model training. Beyond that, we design access controls, audit logging, and internal usage guidelines as part of the engagement, and we can select cloud environments (including specific regions) to match your compliance requirements.
It depends on the use case. We are an official Anthropic partner, but we benchmark Claude, GPT, and Gemini against your actual business data and recommend based on measured accuracy, cost, and speed. We can also build vendor-neutral architectures where the model can be swapped later.
Not at all. We support organizations at every level: briefing materials for executives, training for business teams, and hands-on enablement for development teams. Our scope of work is not "deliver a tool and leave" but "get your team to the point where they can run it themselves."
Yes. Our standard approach starts with a minimal PoC so you can judge accuracy and cost with real numbers before committing to production investment. And if the PoC shows the economics do not work, we will tell you that directly.
In a free consultation we look at your workflows and data, then tell you honestly whether AI can solve the problem. If it is not a fit, we will say so.
