Las Vegas, NV April 30, 2026 --(PR.com)-- mLogica LLC today launched its AI-Powered + Deterministic Modernization platform, directly addressing what Gartner identifies as the core failure mode in 2026 mainframe exit programs: the overestimation of generic generative AI. Where generic AI produces non-deterministic output that cannot be certified before cutover, mLogica’s LIBER*M platform applies purpose-built Small Language Models (SLMs) trained on real enterprise production code, COBOL, Assembler, Assembler TPF, PL/I, Easytrieve, Telon, JCL, SAS, Rexx, IMS, Db2, and more, through deterministic pipelines that produce identical, auditable results on every run.
“Mainframe exit programs have failed at rates above 60 percent for 25 years. Rewrite or Reimagine has previously failed 90 percent of time. The pattern is always the same: the promised solution has no knowledge of your production estate,” said Amit Okhandiar, President and CEO of mLogica. “Built on our expert systems based highly automated rules engines with decades on training data, our SLMs are trained on actual enterprise production code, not internet descriptions of it. That is the difference between a model that can certify its output and one that cannot.”
Governed AI at Every Stage
LIBER*M delivers three governed stages: Understand (AI assisted automated estate discovery ...
