Years of manual reverse engineering performed in days.
The only end-to-end AI-native platform that transforms undocumented legacy data pipelines—Informatica, DataStage, SSIS, and PL/SQL—into modern, cloud-native ELT.
Free assessment for up to 5 filesThe Data Modernization Crisis
Stop playing "digital archeologist" with your data pipelines. Most enterprise data projects stall because it takes 6–12 months just to manually document how your legacy pipelines actually work.
Informatica & DataStage
SSIS & Talend
Hand-coded PL/SQL & SAS
Legacy Tableau & Qlik Reports
One Platform. Full Lifecycle Coverage.
Four Intelligent AI Modules working together to modernize your entire data estate.
Landing Zone & Journey Selection
Intelligent detection of 20+ formats (COBOL, SSIS, SQL). AI determines the best modernization pathway with 98% accuracy.
AI-Powered Reverse Engineering
Automated Data Lineage traces data flows from source to destination, eliminating 70–80% of manual analysis effort.
Project Management Integration
Automatically generates 90% of modernization user stories. Direct bidirectional sync with Jira, Azure DevOps, and Rally.
Forward Engineering & Code Generation
Generates production-ready cloud-native code (Java, C#, Python) for Snowflake, Databricks, and AWS/Azure/GCP.
Purpose-Built for Data Workloads
Clear migration paths from legacy to modern for every layer of your data estate.
Modernize with Predictable ROI
Quantified Outcomes: Manual vs. AI-Native Modernization
| Metric | Traditional Approach | Accelyst Platform | Improvement |
|---|---|---|---|
| Assessment Duration | 6–12 Months | 2–4 Weeks | 90% Faster |
| Documentation Effort | 40% of Project | 8% of Project | 80% Reduction |
| Code Generation | 18–24 Months | 4–6 Months | 75% Faster |
| Modernization Success | 40–60% Failure | Under 15% Failure | 3x Success Rate |
| Cost Overruns | 35–50% Typical | Under 10% | Predictable |