Rapid legacy modernization with AI

Deep analysis in days. Full transformation in weeks. AI-powered modernization for COBOL, Java, .NET, and beyond

Modernization used to cost more than keeping legacy alive.

AI changed the math.

Capabilities: Codebase Archaeology; Architecture Analysis; Migration Planning; Incremental Rebuild

The landscape

Legacy maintenance eats the budget your competitors spend on building. What moved is the cost of understanding: reading a system that took a manual team four months now takes days, which puts modernization below the price of standing still.

68%
of companies say legacy blocks AI adoption
$1.52T
tech debt accumulated in the US
79%
of IT budget consumed by maintenance
70%
of Fortune 500 software is over 20 years old
60%
struggle to find legacy developers

Shift

So we start by reading, not rewriting. AI-assisted discovery pulls out the business logic, the dependencies and the tribal knowledge buried in COBOL, Java and .NET, and only then do we rebuild, incrementally, every capability tracked, every change governed, the system serving traffic throughout. You see working software in weeks instead of waiting on a big-bang cutover.

Dimension	Before	After
Discovery	months	days
Knowledge	lost	extracted
Execution	large teams	small teams
Testing	bottleneck	automated
Docs	missing	generated
Integration	manual	auto-discovered