Mainframe Modernization
LegacyOS AI
Evidence-first discovery for COBOL and legacy-system modernization work.
LegacyOS AI helps teams examine COBOL and legacy-system estates through evidence-first discovery, documentation, retrieval, and readiness checks before any modernization claim is made.
The problem, and the approach.
The problem
Legacy modernization projects fail when teams guess at system behavior, underestimate dependencies, or treat a demo conversion as production readiness. COBOL estates need careful discovery, traceability, and validation before a migration plan is credible.
The approach
LegacyOS AI is positioned as a modernization readiness and discovery system. It supports corpus ingestion, source-aware retrieval, documentation, dependency exploration, and validation planning. Public claims stay scoped to technical intake and local-lab evidence unless external validation and real system access have been completed.
What the platform does.
The working surface of the platform — the capabilities a team relies on day to day.
Corpus ingestion
COBOL and related artifacts can be organized into a searchable modernization workspace.
Source-aware retrieval
Answers and summaries are tied back to the files and snippets that support them.
Dependency discovery
Programs, copybooks, jobs, and data relationships are examined for modernization planning.
Documentation drafting
Technical notes and modernization-readiness artifacts can be drafted for human review.
Validation planning
Local-lab passes are separated from real external validation so readiness claims stay honest.
Synthetic corpus support
A legal synthetic COBOL corpus can be used for demos and tests when real client code is unavailable.
From start to outcome.
Ingest
Legacy artifacts are loaded into a controlled discovery workspace.
Retrieve
Questions are answered with references back to source material.
Map
Dependencies and high-risk areas are surfaced for reviewer attention.
Document
Modernization notes and readiness findings are drafted.
Validate
Claims are checked against available evidence before being promoted.
What sets it apart.
Evidence-first positioning: no production-readiness claim without validation evidence.
Built around modernization discovery rather than one-click code conversion.
Source traceability keeps reviewers anchored to the actual estate.
Synthetic-corpus support enables demos without exposing client code.
Who it serves
- Teams preparing COBOL or mainframe modernization assessments
- System integrators that need evidence-backed discovery artifacts
- Operators comparing migration paths before committing budget
- Technical reviewers who need source traceability, not vague AI summaries
Built with
LegacyOS AI is moving toward stronger external-validation workflows and clearer modernization evidence packets that can stand up to technical and procurement review.
Important — scope & affiliation
LegacyOS AI supports discovery and readiness work. It does not claim production migration completion, live mainframe access handling, security certification, or external validation unless those have been separately completed and documented.
Explore the rest of the portfolio.
Evaluate LegacyOS AI with our team.
Request a briefing for a walkthrough of the platform — its architecture, its roadmap, and how it would fit your operation.