Escape legacy lock-in with AI. Analyze. Automate. Deliver — end to end.

DX Cliff ReadyCOBOL·Java·Python SupportOn-Premise CompatibleJapanese-First Design
Do any of these sound familiar?
  • Nobody truly understands what's inside the system
  • No specs exist — every change feels risky
  • Impact scope is unclear with every modification
  • We want to modernize, but lack the time and people

FARE, NEXA, and SYNCA solve all of these together.

FARE

AI Reverse Engineering

Legacy System Analysis Service

SYNCA

AI Quality & Change Impact

AI Quality Assurance & Change Impact Service

NEXA

AI Engineering Automation

Development Automation Service

78%

Code Analysis Accuracy

3–5×

Faster Development

70–80%

Cost Reduction

OUR SOLUTIONS

FABBI Solutions

Fabbi is a technology company that supports the analysis, evolution, and reconstruction of enterprise systems using generative AI at its core.

FARE

Fabbi AI Reverse Engineering

AI analyzes your running source code and auto-generates design documents, system structure, and business logic. Supports COBOL-to-Java and on-premise-to-cloud migration — making your legacy systems understandable and migration-ready in minimal time.

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SYNCA

AI Quality & Change Impact Analyzer

Drive AI-generated code quality risk to near zero with integrated quality assurance and change impact visualization. AST analysis, runtime behavior monitoring, and automated bug fixing guard enterprise development quality and safety.

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NEXA

Next-gen AI Engineering Automation

From requirements definition and basic design, auto-generates code and tests. A service that connects design to implementation via AI, simultaneously improving development speed and quality.

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ABOUT US

About Fabbi

We provide AI solutions that are practical in real-world settings — addressing challenges such as black-boxing due to insufficient documentation, opacity of impact scope during changes, and balancing development speed with quality.

Fabbi's solutions cover the system lifecycle across three phases. This enables maximizing ROI and development productivity while minimizing risk.

78.59%

AI分析精度

60%+

工数削減

3〜5x

開発速度向上

INTEGRATED PLATFORM

FARE, SYNCA, and NEXA solve challenges from legacy to new development end-to-end

FARE analyzes existing source code and visualizes design documents, structure, and business logic. SYNCA analyzes change impact and clarifies fix points and quality risks. NEXA generates code and tests from requirements and design, accelerating development.

PRICING

Pricing Plans

Start with a free PoC to see the results. Then we'll propose the optimal plan for you.

POC / DEMO

Free

Covered by FABBI

  • FARE code analysis demo
  • Impact scope report (sample)
  • Product walkthrough
  • Rough estimate sheet
Try for Free
Recommended

Standard

Custom Quote

Monthly / per project

  • Full FARE, SYNCA, NEXA access
  • Dedicated customer success manager
  • Regular reports & progress tracking
  • COBOL, SAP, Java support
  • SLA 99.5% guarantee
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Enterprise

Custom Quote

For enterprise clients

  • Dedicated cloud environment
  • On-premises deployment available
  • System-specific customization
  • CISO-level security reporting
  • Dedicated project manager
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Tasks that take 4–12 months manually are completed in just days. Achieve 60% effort reduction and cost savings of millions of yen.

OUR TEAM

Our Team

Reliable technology starts with reliable people.

At Fabbi, experienced engineers and internationally recognized university professors and researchers in AI participate, driving technology development from both research and implementation perspectives.

NGUYEN TRI DZUNG
Vietnam TOP 20 CTO & AI (2021)

NGUYEN TRI DZUNG

Nguyen Tri Dzung

Chief Technology Officer (CTO)

2012 Joined KAYAC Inc.

2014 Joined DeNA Co., Ltd.

2018 Director & CTO, Fabbi

2020 Director & CTO, Fabbi

Profile
TRAN DINH TUAN
Associate Professor, Shiga University

TRAN DINH TUAN

Tran Dinh Tuan

Chief Product Officer (CPO)

2014 Ph.D., Ritsumeikan University

2020 Assistant Professor, Ritsumeikan University

2025 Assoc. Professor, Shiga University Data Science

2025 CPO, Fabbi Corporation

Profile
LE DINH XUAN BACH
Associate Professor, University of Melbourne

LE DINH XUAN BACH

Le Dinh Xuan Bach

Chief AI Officer (CAIO)

2013 Ph.D Carnegie Mellon University, USA

2019 Associate Professor, University of Melbourne, Australia

2025 CAIO, Fabbi Corporation

Profile

FAQ

Frequently Asked Questions

CONTACT

Contact Us

Experience the results with a free PoC

Download Resources

Download FARE, NEXA, and SYNCA product materials for free.

Free Consultation & Demo Booking

Our experts will discuss your system challenges and provide optimal recommendations.

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