AI Proof Pricing Book a demo

Hard sources — not covered by free tools

Also parsed — certify what free tools miss

Targets

Warehouses

Runtimes

After migration

MigryX AI

Parsers where it must be exact. AI where it helps.

Deterministic parsers rewrite SAS, mainframe batch, and legacy ETL. MigryX AI takes the blocks they cannot resolve, and every change it makes is checked row by row before anyone accepts it.

One loop

Convert. Validate. Fix. Re-check.

Nothing is accepted until the outputs match the original. Databricks is the first target for SAS and mainframe batch.

  1. Convert

    Source-specific parsers rewrite the code deterministically, to Databricks first.

  2. Validate

    Data Matching compares the target output to the original, row by row.

  3. Fix

    MigryX AI reads the exception report and proposes a fix for the blocks that differ.

  4. Re-check

    The fix is validated again. It is accepted when it matches, or it goes to an engineer.

What MigryX AI actually does

It sits inside the conversion. It does not replace the parser, and it does not paste your code into a chat window.

Reads the estate, not one file

Macros, PROCs, copybooks, and how files call each other. Suggestions use that context, so a fix in one program does not break the next.

Works from the exception report

When a block fails parity, MigryX AI reads the mismatch and the logs and proposes a change. The parser output stays the baseline.

Your model, or one you already pay for

Point MigryX AI at a hosted model or at a private model in your own environment. Air-gapped estates can also run with AI turned off. The parsers still convert and validate.

Models

Use the model your security team already approved.

MigryX AI calls the endpoint you choose. A private model inside the enterprise is fine. The parser output is still checked row by row, whichever model proposed the change.

Databricks first

SAS and mainframe batch land as native Databricks code.

PySpark, Delta, and Workflows, with the same row-level check whether a block came from the parser or from MigryX AI.

  • SAS programs, macros, and DI Studio jobs
  • Mainframe batch: COBOL, copybooks, and JCL
  • Alteryx, DataStage, Informatica, Talend, and ODI on the same engine
Proof is the deliverable

Auditors get the exception report and the parity result, not a claim that an AI was confident. If a row does not match, it is not accepted.

SAS and mainframe to Databricks →

See it on one file

Send a program and get a coverage report plus a converted sample. Or bring a workload to a 30-minute demo.