Software Re-engineering with AI
Modernize legacy software systems using ML-guided fuzzing, binary code similarity, and LLM-assisted refactoring for comprehensive system transformation.
Proven foundations for modern web products
AI-Powered Legacy Software Transformation
Our software re-engineering service combines cutting-edge AI techniques to analyze, understand, and modernize complex legacy systems. From ML-guided fuzzing for vulnerability discovery to LLM-assisted refactoring, we provide comprehensive solutions that traditional approaches cannot match.
Core AI Capabilities
Our comprehensive suite of AI-powered tools and methodologies for software re-engineering provides unmatched accuracy and efficiency in legacy system modernization.
ML-guided Fuzzing (NEUZZ Family)
Advanced neural network-guided fuzzing techniques for comprehensive code coverage and vulnerability discovery.
Key Features
- NEUZZ-family neural fuzzing implementation
- Coverage-guided neural network training
- Automated seed generation and mutation
- Real-time feedback learning systems
- Cross-platform fuzzing capabilities
Benefits
Binary Code Similarity via Deep Learning
State-of-the-art deep learning models for binary code analysis and similarity detection using CFG and Transformer embeddings.
Key Features
- Control Flow Graph (CFG) embeddings
- Transformer-based similarity models
- Cross-architecture binary comparison
- Automated function recognition
- Semantic code analysis
Benefits
SBOM-first Modernization
Software Bill of Materials driven modernization approach using CycloneDX for comprehensive dependency management.
Key Features
- CycloneDX SBOM generation and analysis
- Dependency vulnerability scanning
- Automated modernization planning
- Risk assessment and mitigation
- Regulatory compliance tracking
Benefits
LLM-assisted Refactoring
Large Language Model powered code transformation and intelligent refactoring for legacy system modernization.
Key Features
- Intelligent code pattern recognition
- Automated code translation
- Performance optimization suggestions
- Best practice implementation
- Documentation generation
Benefits
Our Technical Process
A systematic approach to software re-engineering that combines AI intelligence with proven methodologies.
1. Analysis
Comprehensive legacy system analysis using AI-powered code understanding tools.
2. ML Application
Deploy ML-guided fuzzing and binary similarity analysis for deep system understanding.
3. Transformation
LLM-assisted refactoring and automated code transformation with SBOM management.
4. Validation
Comprehensive testing and validation to ensure zero-downtime migration.
Ready to Transform Your Business with AI?
Join hundreds of companies that have already revolutionized their operations with our AI-driven re-engineering solutions.
Trusted by leading companies worldwide
Email Us
nikflipflop@gmail.com
Call Us
+380-50-97-38-170
Visit Us
Bannyi Lane, 1
Kharkiv, 61000, Ukraine