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exaBase Studio

An AI service development and operations
platform for the enterprise

From idea to production

Clients

  • Dai-ichi Life Insurance
  • Fukuoka Financial Group
  • Mizuho Leasing
  • docomo business
  • Saitama Prefecture
  • SMBC Nikko Securities
  • Tohoku Electric Power
  • Yamaguchi Financial Group
  • Seibu Railway

Includes some customers from trial / PoC engagements

NEWS

Introduction

  • LLM evolution > business system evolution

    LLMs are evolving rapidly and dramatically expanding the potential to improve enterprise operations — yet the gap with real-world system development keeps widening.

  • Wanting to act on field feedback vs. how hard it is to land changes

    Teams want to act on user feedback and improve incrementally, but redesigning a production system or its infrastructure is a heavy lift. Many enterprises are stuck in a "we want to improve, but we can't" dilemma.

  • What is the right way to start?

    Designing AI-powered applications fully on paper is rarely the right move. You want to try things small and stack up results steadily — so where exactly should you begin?

Bring practitioners and developers closer with platform engineering

Design patterns and flexible infrastructure

Try and change quickly, grounded in simple design patterns. We've designed a development and operations platform whose infrastructure flexes alongside your application changes.

Introducing exaBase Studio

A platform that accelerates AI service development and operations through proven patterns and incremental improvement

  1. 1

    System design

    Useful design patterns

  2. 2

    Incremental

    Speedy value delivery

  3. 3

    Cloud native

    Highly efficient operations

Key capabilities

exaBase Studio is a Kubernetes-based, cloud-native development and operations platform that automates everything from system design to building production environments.

  • 01GUI-based system design

    • Design data and processing flow visually
    • Get a clear view of balance across microservices
    • Reactive components that support expressive design tailored to your operations
  • 02One-click infrastructure

    • Ship what you build straight to the field
    • Automated Kubernetes runtime setup on multi-cloud / private cloud
    • Automatic resource optimization based on your system design
  • 03Plug in models and try them right away

    • Pick any model and embed it into your app
    • Supports application development with your own API keys
  • 04Production readiness and operations support

    • Log and status monitoring
    • Private cloud edition available
    • Application operations support via professional services
  • 05System design templates for AI services

    • System design templates for AI services
    • System design examples grounded in best practices

Template examples

  • LLM Chat UI

    Generative AI chat application

    Stores conversation and like history for admin review. Add governance features that block specific chats from reaching the model — freely.

  • RAGOps

    RAG starter kit

    Comprehensive RAG tuning capabilities built in. Capture tacit operational knowledge in production data — realize a "RAG you can grow."

  • LLM Chain

    An app that orchestrates multiple LLMs to handle different tasks

    LLMs collaborate and process tasks step by step, enabling complex workflows.

Why exaBase Studio

Enabling AI service development inside enterprise organizations

  • Lighten the load on developers

    • System design through infrastructure setup — completed without going through a platform team
    • Even complex infrastructure topologies are built in one click
  • Free your platform team from operations toil

    • Delegate authority to developers while preserving governance
    • Reduced effort through automated infrastructure setup
    • Optimized team capacity through automated monitoring and operations
  1. Incremental development
  2. Infrastructure standardization
  3. Monitoring and operations support
  4. Quick start from templates
  5. Accumulate and reuse internal assets
  6. Easy rollout across the entire organization

Enjoy Engineering!

インクリメンタルなAIサービス開発へ

Contact

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