Proof for modernization, not just generated code.

Selected programs across defense, federal, and enterprise — including engagements where prior vendors failed, timelines had already collapsed, or LLM tooling had stalled at the hard 20%. Results validated against original-system behavior; supporting detail available under NDA.

What proof does Holonic provide?

Holonic produces proof artifacts that help modernization teams understand which source behaviors were preserved, which behaviors were intentionally changed, which semantics require review, and how generated target components trace back to the original system.

13×
Faster delivery than the prior-vendor baseline on a federal program.
2M LOC
Production COBOL parsed and decomposed inside the first month.
$3M+
Documented cost savings against incumbent modernization estimates.
85% vs 40%
Holonic vs. IBM watsonx Code Assistant in a head-to-head COBOL bake-off.
Selected programs

Where conventional tooling ran out of runway.

Some programs are named where the client has approved attribution; others remain anonymized at the client level. Engineering detail, conversion accuracy, and timeline comparisons are accurate as delivered. Named references available under NDA.

CASE 01 / DEFENSE
Major defense contractor · mission-critical

Embedded real-time software modernization

~9k LOC · C + Assembly → Modern C + Assembly 2 mo delivered on an accelerated timeline for new multi-core processor architecture

Full functional equivalence validated end-to-end with complete chain-of-proof traceability across mixed-language embedded code. Target architecture supported from day one — not adapted to after the fact.

CASE 02 / FEDERAL
Federal agency · prior vendor failures

Self-modifying Assembly to Java

Self-modifying Assembly → Java 2 mo delivered where every prior vendor had failed

Static and dynamic analysis modeled runtime self-modification behavior. The agency now owns a maintainable, auditable Java codebase instead of code that rewrites itself at runtime.

CASE 03 / U.S. AIR FORCE
U.S. Air Force · with SI partner

Legacy UI modernization at scale

108 kLoC AngularJS → Angular 17 6 mo vs. a 2-year estimate, with 60%+ savings against a $2M budget

361 components. 99.9% conversion accuracy. Zero regression. 20,000+ lines eliminated for a 24% smaller codebase. No disruption to active operations during the transition.

CASE 04 / FEDERAL
Major federal agency · intractable code

Rule engine modernization, fully documented

Ruby on Rails + Drools → Java Spring Boot 3 mo an 18-month project delivered in 3, with 67% cost savings

Sole developer retired and unreachable. No documentation. Declared intractable by other vendors. CodeIntent® extracted business logic directly from source and produced the first-ever technical documentation as a parallel deliverable.

CASE 05 / GOVERNMENT SI
Government systems integrator · 2M LOC

Two million lines of COBOL to Java

2M LOC COBOL (150 processes) → optimized Java $2.5M saved against a $3.5M estimate; full program live in 18 months vs. a 4-year baseline

Entire codebase parsed and decomposed within the first month. All 150 processes validated. Delivered optimized, idiomatic Java — not transliterated COBOL — restoring competitive parity for the SI.

CASE 06 / ENTERPRISE
Major fintech provider · competitive bake-off

Legacy COBOL to idiomatic Java

Legacy COBOL → clean idiomatic Java 85% effective coverage in hours, vs. IBM watsonx Code Assistant at 40% after months

Semantic intent mapping produced clean, maintainable Java that matched client style — no "JOBOL," no COBOL-style Java leakage. Decisive head-to-head result against generic LLM tooling.

Client signal
"Working with Holonic Technologies has been an exceptional experience. Their dedication and expertise were key in making the project a success."
Rajiv Gidadhubli Chief AI Transformation Officer, Alpha Omega
Languages mastered

10+ legacy language families. Source & target coverage across the stack.

COBOL FORTRAN PL/SQL TAL C C++ Assembly Self-modifying Assembly Ruby / Drools ASP AngularJS → Java → Modern C / C++ → Angular 17 → Spring Boot
The pattern

Hard cases. Months, not years.

The common element across these engagements is not the source language or the target stack. It is the hard 20% — the part of legacy modernization where LLM tooling, offshore teams, and rip-and-replace programs have historically stalled or failed.

Self-modifying assembly. Unreachable subject-matter experts. No documentation. Mixed-language embedded code. Two million lines of COBOL across 150 processes. The CodeIntent® turns those from intractable into deterministic.

Talk to Holonic

See it on your codebase.

Tell us about the codebase. We'll show what the CodeIntent® for it looks like, and what reaching cutover would require.