mLogica’s Autonomous Modernization Factory, powered by LIBER*M, STAR*M, CAP*M and TRAK*M, and utilizing training data acquired over 20 years, applies the dark-factory model one stage at a time: verifiable work runs unattended; judgment comes from expertise and experience. Each project keeps its own scope, budget and approvals.
Intake & Assess
AI-assisted analysis maps dependencies, complexity and business rules. Experience sets scope and priorities.
Plan & Design
Experience shapes the target architecture, migration approach, delivery plan and acceptance criteria.
Transform
Purpose-built AI and deterministic pipelines convert. Experience resolves every exception.
Prove & Verify
AI speeds test creation; the platform rates each result equivalent, divergent or indeterminate. Experience resolves the rest.
Cut Over & Operate
Deployment checks are automated; you authorize release.
Agents propose, the Validation Engine decides, you approve release. Each stage runs with less supervision only as its evidence allows.
The outcome: higher efficiency and quality, governed risk, experience focused where it matters and faster time to market.
Best suited use cases: Architected and designed for modernizing Mainframe and distributed legacy applications and workloads to a Cloud native platform.
