PERFORM VARYING → for (int i = 0;
MOVE WS-REC TO → output = records[i];
EXEC CICS SEND → response.send(data);
SELECT * INTO → db.query(model).all()
Sub Calculate() → def calculate():
Deterministic transpilation that transforms COBOL, VB6, SAS, and legacy databases into modern, production-ready code. No AI. No hallucinations. Same input, same output — every time.
Built for the sectors where correctness is non-negotiable
Three steps from legacy burden to modern codebase
Bring your legacy source in — direct file upload, a repository, or a database extract. Processing runs in-memory; nothing is stored or retained.
A deterministic engine parses your code, analyzes dependencies, resolves dialect-specific constructs, and generates modern, idiomatic output. No AI, no guessing — pure rules-based transformation.
Download your modernized codebase complete with unit tests, integration tests, documentation, dependency graphs, and Docker configs. Ready for production from day one.
Seven specialized engines — plus Torsova, our COBOL sister engine
Powered by Torsova
Deterministic COBOL modernization with byte-exact parity, delivered through our sister platform Torsova — a 6-stage pipeline with CICS handling and security hardening, built for the largest COBOL estates.
See it at torsova.com → LanguageVisual Basic 6 → Python (FastAPI)
Full-fidelity migration preserving forms, modules, and logic. Escape the VB6 runtime before it escapes you.
Request a demo → LanguageSAS → Python + pandas
Transpiles DATA steps, 26 PROC transpilers, and macro systems. Eliminate seven-figure SAS licensing without sacrificing rigor.
Request a demo →Stored Procedures → Modern services
Converts T-SQL and PL/pgSQL stored procedures into clean FastAPI microservices — verified against real PostgreSQL and SQL Server engines. Untangle decades of logic locked in the database.
Request a demo → DatabaseMS Access → PostgreSQL + FastAPI
Transforms Access databases into modern web applications — schema, queries, and logic preserved. Kill the .accdb, keep the workflow.
Request a demo →Real Data → Safe Synthetic Data
Generates deterministic synthetic test data (CSV, SQL, JSON, even EBCDIC / COMP-3) and scrubs sensitive values while preserving the exact byte layout — test with real-shaped data, expose no real record.
Request a demo → DataSynthetic Data → Real Values
The reverse of SynthData: restores real production values back into a modernized database from encrypted backups and mapping files — closing the scrub-and-restore loop with byte-identical fidelity.
Request a demo →Built for the organizations where failure is not an option
No LLMs. No hallucinations. No temperature knobs. Every transpilation is reproducible, auditable, and testable. Run it a thousand times — get the same output a thousand times. Your compliance team will thank you.
Your source code is processed in-memory and deleted immediately upon completion. We never store, log, cache, or train on your code. Period.
The engines run entirely offline with zero external API calls and zero cloud dependencies. Deploy behind your firewall, inside your SCIF, or on a submarine. They don't need to phone home.
Correctness is checked against external oracles — real PostgreSQL, SQL Server, and IBM COBOL — not self-reported metrics. Generated code ships with test suites, docs, dependency graphs and Docker configs.
PERFORM VARYING WS-IDX FROM 1 BY 1
UNTIL WS-IDX > WS-COUNT
MOVE WS-RECORD(WS-IDX) TO WS-OUTPUT
WRITE OUTPUT-RECORD
END-PERFORMfor (int idx = 0; idx < record_count; ++idx) {
output = records[idx];
write_record(output);
}Start with a demo. Scale when you're ready.
Proof of Concept
Sliding Scale
Example pricing:
10,000 lines = $2.90/line · 50,000 lines = $2.50/line · 100,000 lines = $2.00/line
Volume & On-Premises
Fundamentally different. LAZARUS uses a deterministic, rules-based transpilation engine — not a large language model. The same input always produces the exact same output. Every transformation is auditable, testable, and reproducible. There are no hallucinations, no probabilistic guesses, and no prompt engineering. When your auditors ask "why did it generate this code?", you get a definitive answer — not a shrug and a temperature setting.
Yes. We operate on a strict zero-retention policy. Your source code is processed entirely in-memory and deleted immediately upon completion. Nothing is stored, logged, cached, or used for training. For organizations with the highest security requirements, the engines support full on-premises, air-gapped operation.
Seven specialized engines: LAZARUS VB6 (Visual Basic 6 → Python), LAZARUS SAS (SAS → Python + pandas), LAZARUS StoredProcs (T-SQL / PL-pgSQL → FastAPI services), LAZARUS Access (MS Access → PostgreSQL + FastAPI), LAZARUS Reports (Crystal Reports → Python), LAZARUS SynthData (real data → safe synthetic data), and LAZARUS Genesis (synthetic data → real values). COBOL modernization is handled by our sister engine, Torsova. Each engine is purpose-built for its source platform — not a generic translator with a language flag.
Correctness is verified against external oracles — real PostgreSQL, SQL Server and IBM COBOL — not self-reported metrics. Every transpilation generates comprehensive test suites — unit tests, integration tests, and behavioral equivalence checks — so you can validate correctness independently. We also provide detailed diff reports mapping every source construct to its generated counterpart, giving your team full traceability from legacy to modern.
Yes. The Enterprise tier includes full on-premises deployment with no external dependencies. The engines operate entirely offline — no API calls, no telemetry, no license servers. This makes LAZARUS suitable for classified environments, regulated industries, and any organization that requires complete control over where their code is processed.
A complete, production-ready project. You receive: the modernized source code with idiomatic patterns and clear naming conventions; a full unit test suite; integration tests verifying behavioral equivalence with the original; inline documentation; dependency graphs showing module relationships; and Docker configs for containerized deployment. It's not a prototype — it's a deliverable.
Modernize your legacy systems deterministically — without a single hallucination.