Our Methodology

A proven AI-driven process for re-engineering

Six phases that turn legacy systems into modern, secure, and intelligent platforms — without disrupting your operations.

Core Principles

Four commitments that define how we work.

ML-Guided

Machine learning accelerates every phase — from code similarity analysis to automated test generation and defect detection.

SBOM-First

Every component — software, firmware, or hardware — is tracked in a Bill of Materials from day one. CycloneDX for complete supply-chain transparency.

Zero-Downtime

Incremental modernization ensures your critical operations never stop. We migrate and upgrade while the system keeps running.

Security-Embedded

Security is built in, not bolted on. ML-guided fuzzing finds vulnerabilities traditional testing misses, throughout the lifecycle.

The Six Phases

From Discovery to Evolution

Discovery & Analysis

1–2 weeks

We deep-dive into your legacy system, codebase, firmware, or hardware. ML-assisted code analysis and binary similarity tools map the full architecture.

Architecture auditRisk assessmentBinary/code similarity mapProject roadmap

AI-Assisted Design

2–3 weeks

Design the target architecture using AI-guided recommendations. LLM-assisted refactoring plans and computer-vision PCB layouts are generated here.

Target architectureRefactoring planPCB reconstruction modelMigration strategy

Implementation

Ongoing

Incremental, zero-downtime modernization. ML-guided fuzzing continuously validates security. CycloneDX SBOM tracks every component across the supply chain.

Modernized code/firmwareCI/CD pipelinesAutomated test suitesComponent SBOM

Validation & Testing

1–2 weeks

Comprehensive validation including ML-guided fuzzing, automated test coverage, safety compliance (ISO 26262, IEC 62443), and defect detection (AOI for electronics).

Test coverage reportSecurity auditCompliance certificationPerformance benchmarks

Deployment

Phased

Zero-downtime migration with rollback safety. Gradual rollout with real-time monitoring. Over-the-air update capability for embedded devices.

Production deploymentMonitoring dashboardRollback planOTA infrastructure

Support & Evolution

Ongoing

Continuous monitoring, anomaly detection, and iterative improvement. Predictive maintenance and ongoing AI model refinement for sustained performance.

24/7 monitoringAnomaly detectionQuarterly reviewsModel retraining

Results That Speak

Measurable outcomes from our methodology across projects.

Code similarity accuracy

Maintenance cost reduction

Firmware function ID rate

Component identification

Ready to start your project?

Let's map out your re-engineering journey with our proven six-phase methodology.

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