AI Adoption & DX
"We want to adopt AI but don't know where to start." "We're not leveraging our internal data." For companies facing these challenges, we provide end-to-end support from AI consulting to product implementation and operational assistance.
Common challenges you might face
From generative AI implementation to business process automation
Unsure how to leverage AI
You're considering adopting generative AI but can't determine which tools or methods are best for your company, leaving projects stuck at the PoC stage.
Internal data remains untapped
Internal knowledge and documents are scattered, making it time-consuming to find the information you need. There's no AI-powered search and utilization infrastructure.
Business digitalization isn't progressing
Manual and paper-based processes persist, and DX of ERP and workflows hasn't advanced. Integration with existing systems is also a challenge.
Proven results
Proposed solutions
The best products and services for this challenge
Consulting services
RAG Development
RAGBuild RAG (Retrieval-Augmented Generation) systems to maximize the use of your internal knowledge with AI. Achieve high-accuracy information retrieval and operational efficiency.
Internal Knowledge Search
Vectorize scattered documents and enable instant search using natural language.
Secure Environment
Build closed RAG environments on AWS Bedrock / Azure OpenAI, eliminating data leakage risks.
Continuous Accuracy Improvement
Continuously improve search accuracy through feedback loops. AI grows as you operate.
Generative AI Consulting
Generative AIBuild safe generative AI environments leveraging your internal data, delivering AI assistants and workflow automation directly linked to business improvement.
Business-Specific AI Assistant
Build AI assistants that generate accurate answers based on your internal data.
Workflow Automation
Automate routine tasks like meeting minutes, report generation, and data analysis with AI.
From PoC to Production
Start with a small PoC and gradually scale. Verify cost-effectiveness before transitioning to production.
AI-Driven Development Support
AI-Driven DevSupport in-house system development leveraging AI technology. Provide consistent development support from PoC to production environments.
AI-Powered Dev Efficiency
Dramatically improve development speed with AI code completion and test automation.
Training Programs
Systematically acquire AI-driven development skills through e-learning formats.
Self-Sustaining Organization
Break free from external dependency and build an internal team capable of continuous AI development.
LLM Observability
LLM OpsTrack LLM usage, costs, and quality in real-time. Visualize AI ROI and optimize operations.
Usage & Cost Tracking
Visualize LLM usage and costs by model and department in real-time dashboards.
Quality Monitoring
Continuously monitor AI output quality through response scoring and hallucination detection.
Operational Optimization
Analyze the optimal cost-to-quality balance and recommend model selection and prompt improvements.
Case studies & portfolio
Customer success stories and development projects
Case studies
Japanese Startup
Challenge
Product documentation and internal knowledge were scattered, slowing onboarding for new employees.
Solution
Built a RAG system to make internal knowledge searchable and AI-accessible in natural language.
Result
New employee onboarding reduced from 3 months to 1 month
Major Education Service Provider
Challenge
Urgently needed to move in-person training online, but the existing LMS lacked video streaming and AI capabilities, leading to high dropout rates.
Solution
Built an AI-powered LMS with HLS video streaming, AI learning progress tracking, and drag & drop curriculum design.
Result
Course completion rate improved from 45% to 78%. Training content production time reduced by 50%
Global Logistics Company
Challenge
Warehouse management, dispatching, and invoice processing were all manual, causing chronic human errors and overtime.
Solution
Built an AI workflow automation platform integrating multiple AI providers to automate business processes.
Result
70% reduction in processing time. Monthly human errors reduced to nearly zero
Mid-Size Accounting Firm
Challenge
Manual journal entry input for 200 client companies, with over 100 hours of monthly overtime during peak season.
Solution
Built an accounting system with RAG-powered AI journal entry suggestions, automatically recommending optimal account categories from historical data.
Result
65% reduction in journal entry time. Peak season overtime reduced to under 20 hours/month
Major Staffing Agency
Challenge
Recruitment market analysis was done manually, spending 20 hours per week from data collection to report generation.
Solution
Built an AI recruitment analytics platform automating job data collection, structuring, and competitive analysis.
Result
Report generation automated: 20 hours/week reduced to 2 hours. Data coverage expanded 3x
Video Streaming Startup
Challenge
Video content production and delivery took 2 weeks per video, with manual subtitle and chapter creation as the bottleneck.
Solution
Built a video management system integrating HLS streaming with AI transcription and automatic chapter generation.
Result
Video publication lead time reduced from 2 weeks to 3 days. AI subtitle accuracy over 95%
Development portfolio
Subscription-Based Next-Gen LMS
A next-generation subscription-based learning management system with RAG (Retrieval Augmented Generation) and advanced assessment capabilities. Admin panel provides user/subscription management and email campaigns.
- High-precision content search via RAG
- Automated subscription billing and management
- Email campaign delivery
Enterprise Workflow Automation Platform
A multi-step workflow automation platform integrating multiple AI providers. Enterprise-grade infrastructure with scheduled execution, conditional branching, and error handling with retries.
- Multi-AI provider support (OpenAI, Claude, Gemini)
- Scheduled execution and multi-step workflows
- Enterprise-grade error handling and retries
AI Workflow Integration Platform
Integration platform for Dify AI workflows. Seamlessly embeds AI workflows into business systems through MCP (Model Context Protocol) support, JWT authentication, and webhook integration.
- Native integration with Dify AI workflows
- MCP protocol support
- Secure connections via JWT auth and webhooks
MCP Server & RAG Search Engine
A Model Context Protocol compliant JSON-RPC 2.0 server and high-precision RAG search engine. Core infrastructure for LLM agents to securely access internal data.
- MCP-compliant JSON-RPC 2.0 server
- High-precision RAG with vector search
- Secure integration with LLM agents
Considering AI adoption or DX?
From AI implementation to data utilization and business process automation, we propose the optimal solution tailored to your challenges.
Free consultation. We'll respond within 24 hours.