AI Agent / RAG / LLM Integration

AI Solution Development

LLM features, AI agents and AI search over your own documents — from prototype to production.

Features

Key features

01
AI agents & multi-agent systems
We design and build agents that execute tasks autonomously — production-grade systems with tool calling, workflow orchestration, and state management.
02
RAG (Retrieval-Augmented Generation)
RAG pipelines that retrieve from internal docs and knowledge bases to improve LLM accuracy — including vector DB selection, chunking strategy, and reranking.
03
LLM integration & fine-tuning
Model selection across OpenAI / Anthropic Claude / Google Gemini / open-source models, API integration, and fine-tuning where needed.
04
AI architecture consulting
We help with strategy for embedding AI into existing systems, cost optimization, and security/compliance design (APPI, GDPR).

Deliverables

Tech stack

Engagement

Project-based
We take on everything from requirements to delivery. Fixed price or milestone-based.
PoC / prototype
A proof of concept in 2–4 weeks to validate technical risk at low cost.
Advisory / consulting
Monthly architecture reviews, tech selection, and code reviews.

We quote based on project size and complexity. A PoC starts around ¥500,000, and a full AI system from around ¥3,000,000.

* Final quotes are provided after an inquiry and a meeting.

FAQ

Can you work with LLMs other than OpenAI?

Yes — Claude, Gemini, and local LLMs (Llama, Qwen, etc.). We propose the best model for your requirements, cost, and compliance.

How is data handled?

For sensitive data, we can design everything to stay inside your cloud (within your VPC), with safeguards per Japan’s APPI.

Requirements hearing, tech selection, rough estimates — all free to discuss.