The Lifter: An Agentic AI-Powered Application Modernization Platform
Indium Software · Operations & Productivity
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 2 captures on record
What the publisher says
As described on AWS Marketplace.
In software, two things are certain: Technical Debt and Taxes.
Most enterprises understand Technical Debt. What they underestimate is
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the “Reverse Engineering Tax” they pay on it— every sprint, every feature
upgrade, every modernization phase.
**3 Modernization Traps Most Enterprises Fall Into - **
Reverse Engineering Tax - Months are lost to system discovery and legacy analysis, as teams repeatedly reverse engineer what existing systems actually do.
Data Context Loss - Data moves, but business meaning breaks – leading to downstream failures, rework, and operational risk.
Confidence in Testing - Tests look green in QA reports, but don’t reflect real system behavior, creating false confidence before production
**Enter… The Lifter** - An on-prem, agentic AI platform purpose-built to understand complex enterprise systems before they are changed, so modernization becomes predictable, not speculative.
Eliminate the Reverse Engineering Tax - Modernization stalls when teams don’t understand what they’re carrying forward. Legacy Lifter automates code archaeology across large, undocumented codebases — mapping dependencies, execution paths, and embedded business logic, including black boxes, before any change is made. Teams reduce assessment cycles from months to weeks, surface hidden risk early, and improve productivity by 5x.
Prevent Context Loss - Data migrations fail when context is lost. Data Lifter analyzes legacy schemas, transformations, and hidden data dependencies across cloud and hybrid environments—maintaining semantic integrity across data modernization.
Teams reduce manual migration effort by ~40%, minimize rework, and avoid downstream failures caused by lost business meaning.
Replace Coverage with Confidence - Just passing automated testing does not guarantee production safety. Test Lifter applies AI-driven test generation, impact based regression, and self-healing capabilities to validate modernization outcomes against real system behavior. Teams cut test cycles by up to 70% while ensuring changes hold up in production.
**AWS Services Used** - EC2, ECS , Bedrock, Amazon RDS
Highlights
Highlighted by the publisher on AWS Marketplace.
Problems surface in Weeks, not Months. 6-12 months of manual archaeology compressed into weeks. 1/3rd of developer time reclaimed from understanding legacy code. Shared system understanding replaces tribal knowledge. Modernization decisions driven by evidence, not guesswork.
Eliminate the Reverse Engineering Tax by reclaiming 1/3rd of developer time. Prevent Context Loss During Data Migration and surface problems in weeks, not months. Get Coverage Confidence by reducing flaky tests, by 40%.
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