About Propel-Lab
Propel-Lab LLC is an AI/LLM technology company founded in 2025, headquartered in Fukuoka, Japan. We leverage AI and Large Language Models to engineer next-generation business models.
Vision
Reinvent how companies operate through AI-native systems.
Company Info
- Company
- Propel-Lab LLC
- Location
- Fukuoka, Japan
- Founded
- April 2025
- Founder
- Ken Imoto
- Focus
- AI / LLM / Agent Engineering
Services
LearningMate
Educational Content & Publishing
Planning, producing, and selling educational content focused on LLM technologies. Published books on Claude Code, Context Engineering, and LLMO in both Japanese and English via Kindle and Zenn.
AI-Loop
Marketing Automation
SNS automation and content marketing support powered by LLM agents. Data-driven content strategy, cross-platform performance analytics, and automated post generation.
AutoCrew
Business Automation Consulting
Multi-agent system architecture and business process automation using LLMs. Leveraging MCP (Model Context Protocol) and CLI Skills for advanced agent design and workflow optimization.
Yureru
Music & Creative
A music project that captures fleeting emotional moments through music, words, and visuals. Featuring virtual singers Yumei and Silk Reign — 409+ tracks published, 3,815+ YouTube subscribers.
Founder
Ken Imoto
AI Systems Engineer
Propel-Lab was founded by Ken Imoto, an engineer exploring how AI, automation, and agent-based systems can redesign modern business operations.
His work focuses on building AI-native organizations powered by LLMs, automation, and distributed agents. With 8+ years of experience spanning Android/Web development, edge computing, and robotics, he now leads research in AI agent design, context engineering, and LLM Optimization (LLMO).
- ▸ Former robotics engineer: Pepper × SLAM (Aldebaran co-development / SoftBank live deployment)
- ▸ Managed 5 parallel projects with AWS/Azure/Firebase simultaneously
- ▸ Achieved 300% productivity boost in TypeScript dev via LLM × Context Engineering
- ▸ Kindle author: 4 books (Practical Claude Code / LLMO — bilingual JP/EN)
- ▸ Qiita: 39,000+ PV (SSH security 18K PV / CLAUDE.md defense 8K PV)
Publications
Practical Claude Code
Context Engineering for Modern Development
How Claude Code's design philosophy and CLAUDE.md patterns achieved a 300% productivity boost in TypeScript development.
LLMO — Three Paths for AI to Discover Your Content
LLM Optimization Guide
A practical guide to LLMO: structured data, llms.txt, and Markdown delivery — making your content discoverable by ChatGPT, Claude, and Gemini.
MCP Security in Practice
Complete Guide for Production Deployment
Security best practices for deploying Model Context Protocol in production environments.
Claude Code QuickStart
Get Started Fast
A free quick-start guide to Claude Code for developers looking to integrate AI into their workflow.
Contact
Interested in our services? Have questions about AI agent design, LLMO, or our publications?
We'd love to hear from you.