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 |
Built for the Logic Your Industry Runs On
Regulatory calculations in banking, rating rules in insurance, governed lineage in healthcare, plant-specific exceptions in manufacturing, and policy logic in the public sector — every industry buries its most critical rules in legacy systems. See how Accelyst recovers, modernizes, and validates them for yours.
Risk and Regulatory Reporting Modernization
Modernize the ETL, BI, and legacy code behind finance, risk, liquidity, and regulatory reporting while preserving calculation logic and lineage.
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Policy, Billing, and Claims Platform Modernization
Modernize data pipelines, operational reporting, and legacy applications across policy, billing, and claims without losing product rules.
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Governed Data and Analytics Modernization
Modernize legacy integration, analytics, and application assets behind clinical, commercial, and operational reporting with governed lineage.
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ERP and Operations Modernization
Modernize ERP integrations, plant and logistics data flows, and operational reporting while protecting plant-specific rules and continuity.
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Program and Case Management Modernization
Modernize legacy program, case, revenue, grant, and regulatory reporting workloads while preserving policy rules and service continuity.
Explore use caseAll Industry Use Cases
See how one AI-native approach adapts to the rules, data, and controls of each regulated industry.
View the overview