Parser-Driven Migration Platform

Migrate Your Legacy Code
to Modern Platforms.

MigryX converts legacy ETL and analytics code into production-ready Python, Snowflake, and Databricks — +95% deterministic parsing accuracy, full column-level lineage, with optional AI augmentation up to 99%.

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Tell us what you'd like to see — we'll demo a live migration of your code.

View detailed migration specs & comparison →
Trusted by enterprise data teams worldwide
Fortune 500 Financial Services Healthcare Government Insurance
Free Resources
Download Our Migration Guides
Learn how MigryX automates legacy migration with +95% parser accuracy
MigryX Brochure (PDF) MigryX Booklet (PDF)

How Parsing + AI Work Together

Two engines. One outcome: migration accuracy that traditional tools can't match.

📁

Legacy Code

SAS, Talend, Alteryx, DataStage, Informatica, ODI

🔎

Precision Parser

Custom-built AST for each technology. +95% accuracy.

Deterministic
🧠

Merlin AI

Understands context, resolves ambiguity, infers intent. Boosts to 99%.

Optional AI

Production Code

Python, PySpark, Snowflake, Databricks, dbt

+95%
Parser Accuracy
25+
Technologies Parsed
85%
Faster Migrations
15+
SQL Dialects

Parsing gets you to 95%.
Optional AI pushes to 99%.

MigryX works without AI — deterministic parsers deliver +95% accuracy on their own. For edge cases like ambiguous macros, undocumented transformations, and implicit type coercions, the optional Merlin AI layer can resolve what parsers miss.

  • Contextual Resolution — Resolves macro variables, implicit joins, and environment-dependent logic that deterministic parsers miss
  • Semantic Understanding — Infers business intent behind transformations, not just translating syntax
  • Auto-Documentation — Generates human-readable documentation, data dictionaries, and STTM mappings
  • Continuous Learning — Improves accuracy as it processes more of your codebase, adapting to your patterns
merlin_ai_output.py
# Source: PROC SQL (SAS)
# AI resolved: &env_schema macro → 'prod'
import pandas as pd
 
def transform_claims(df):
  # AI inferred: inner join intent
  result = df.merge(
    ref_table, on='claim_id',
    how='inner'
  )
  return result
Conversion Accuracy 99.2%

Built for enterprise migration at scale

Purpose-built deterministic parsers producing auditable, production-ready code with full lineage.

The MigryX Platform

Migration is more than code conversion. Discover, trace, and validate every transformation end-to-end — powered by parsing and AI.

From legacy to production in four steps

A proven methodology refined across enterprise engagements — powered by precision parsers.

1

Discover

Upload your codebase. Compass maps every dependency, table, and transformation.

2

Parse + Convert

Precision parsers translate each program with +95% accuracy. Optional Merlin AI resolves edge cases.

3

Validate

Automated data validation ensures output parity between legacy and modern code.

4

Deploy

Ship to Snowflake, Databricks, or any cloud — with full lineage documentation.

See full methodology, impact metrics & comparison →
🚀 For Decision Makers

Your competitors are already modernizing. Are you?

Every month on legacy platforms costs you in licensing, talent, and opportunity. See exactly how MigryX accelerates your timeline.

60–85%
Cost Reduction
4–8x
Faster Than Manual
+95%
Parser Accuracy

15–30 minute demo tailored to your stack. No slides — live migration of your code.

Stop maintaining legacy.
Start shipping modern.

See how precision parsing converts your exact codebase — live, in 15–30 minutes.

Schedule a Demo → Contact Sales
📄 Download Brochure (PDF) 📄 Download Booklet (PDF)