The easy paths get converted first
The obvious code moves quickly. The hardest semantics, edge cases, runtime behavior, and undocumented business rules are left for later — and "later" rarely arrives.
Legacy systems that stalled for years. Modernized in months — with proof for cutover.
CodeIntent® extracts a deterministic semantic model of your legacy system, generates the modern target, and preserves the chain of proof required to reach cutover.
13×
Faster than
original estimates
original estimates
Millions
Of LOC modernized across
mission-critical systems
mission-critical systems
$3M+
Saved across
recent programs
recent programs
60%+
Average cost &
timeline reduction
timeline reduction
Selected programs across defense, federal, and enterprise — including engagements where prior vendors failed and timelines had already collapsed.
Two problems. One missing layer.
The legacy code you can't finish modernizing. The AI tooling you can't govern.
Both are symptoms of the same gap: there is no deterministic, semantic understanding of what your code actually does — independent of the syntax it was written in. Modernization programs stall because no one can prove what changed. AI agents introduce risk because no one can audit what they touched. Same root cause. Same answer.
The villain
Parallel run becomes permanent.
The new system exists. The old system keeps running. Nobody has enough evidence to trust the replacement, so the cutover slips — and slips again. Modernization budgets that were supposed to end in 18 months become permanent line items. Meanwhile, your developers' AI tooling is touching the legacy and the modern side without an audit trail. The legacy mainframe is still answering production traffic five years after the program "shipped."
Review becomes the bottleneck
When teams cannot trace what changed — by human or by AI — modernization turns into a human inspection project. Months of engineering review without a verdict the business can act on.
The shift
A semantic foundation under both problems.
"Show me, deterministically, what was preserved, what changed, and who or what changed it."
Every modernization program collapses to that question. The same canonical model that makes the modernization answer deterministic is the model that makes the verification answer deterministic. Extract once, from any legacy system. Modernize on purpose. In the LLM-assisted workflows that follow, every proposed change can be traced and verified against the same semantic foundation.
Extractthe semantic intent
Modernizethe architecture
Verifywhat AI changes next
Where LLMs fit
LLMs do the speed work. CodeIntent® does the proof.
Most buyers, SIs, and hyperscalers are already committed to LLM-based modernization workflows. CodeIntent® is the deterministic layer those workflows need to reach production cutover.
LLMs do
CodeIntent® does
Generate candidate code quickly
Supplies deterministic semantic context
Refactor obvious paths
Preserves source-to-target traceability
Propose architecture changes
Verifies preservation / change decisions
Accelerate developer work
Escalates unresolved semantics instead of guessing
Power agents and copilots
Creates an audit trail of what changed and why
Holonic does not ask enterprises to abandon LLM modernization. CodeIntent® gives LLM modernization the semantic foundation, verification loop, and governance record required to reach production cutover.
Who it is for
For environments that cannot afford ambiguity.
High-stakes codebases where partial conversion, probabilistic errors, or missing auditability are unacceptable.
CIOs & CTOs
Stalled programs that need to reach cutover.
Leaders responsible for legacy programs where generated code is not the deliverable — production cutover is. CodeIntent® closes the proof gap that keeps modernization budgets becoming permanent line items.
Systems integrators
Federal, defense, and enterprise programs where delivery evidence matters.
SI teams running modernization, transformation, and cloud-migration programs where the customer requires chain-of-proof and not just converted code. CodeIntent® sits underneath the delivery model, not alongside it.
Regulated organizations
Compliance, traceability, and AI-era governance.
Banks, payment processors, federal agencies, and regulated enterprises where AI-assisted change against legacy code must produce an audit trail. The same semantic model that powers modernization carries the governance record.
What you get
Three properties. One platform.
Modernization that actually reaches cutover
Most modernization tools generate confident output for the obvious code and defer the rest. CodeIntent® handles the under-documented edge cases, the self-modifying assembly, the undocumented business rules, and the language families where probabilistic tools break.
Why this matters
The hard 20% is what keeps modernization programs alive past their deadlines.
Governance underneath your AI investment
In governed modernization workflows, LLMs, copilots, and AI agents can propose changes against the CodeIntent® layer — not just the syntax. CodeIntent® preserves semantic traceability and verifies what changed against source intent.
Why this matters
Your developers get the speed of AI. Your CISO gets the audit trail. Same platform.
Deterministic, by construction
CodeIntent® is not probabilistic. Same source produces the same CodeIntent®. Same CodeIntent® produces the same target. The generated artifact — and every change proposed against it — carries a chain of proof back to source.
Why this matters
Audit-ready by default. Regulated industries, federal programs, mission-critical systems.
The same artifact powers both products. One CodeIntent®, two outcomes.
Inside CodeIntent® →
Talk to Holonic
See CodeIntent® on your codebase.
In a technical deep dive, we show how the model, review mechanics, and traceability would apply to a representative slice of your environment.