Deterministic AI for governed code modernization
Holonic is the deterministic control layer for software change. CodeIntent modernizes mission-critical systems and shows, across the entire codebase, what was preserved, what changed, what's new, and what still needs review. Every artifact comes with source-traceable evidence.
Source-derived
Deterministic
Every artifact dispositioned
Zero unexplained
Delivered in the highest-consequence environments
Where projects stall
AI Generates Code.
Holonic gets it accepted.
For enterprise-level software, AI can produce most of a modernized codebase quickly before the project inevitably stalls. The last parts of the project are the hardest and most time consuming parts:
missing features
unresolved behavior
edge-case semantics
lack of traceability
the evidence a reviewer needs to sign off.
That is where an enterprise pays twice — once in schedule, once in unexplained change after cutover. CodeIntent closes that acceptance gap across the full system.
“Each of these tools, ours, our competitors’, our partners’, gets us to about 80–85% coverage. Holonic’s deterministic approach fits into that 20% where we’re missing.”
— Senior agentic engineering leader, global systems integrator
We recover the entire system’s operational intent first.
That makes every change accountable.
CodeIntent builds a deterministic, source-derived, language-independent representation of what a system does, then shows what was preserved, what changed and why, what is new, and what still needs a human to look at it.
01
Deterministic transformation
The same input produces the same output, every time. Nothing is left to a probabilistic guess.
02
Source-traceable equivalence
Every line of output can be followed back to the source construct it came from. Equivalence is demonstrated, not asserted.
03
Bounded review
Where source is genuinely ambiguous, we hand over a specific, finite list to resolve instead of burying it inside code that looks finished.
04
Explicit refusal
Where behavior cannot be determined, we say so. That is the difference between a system a buyer can trust and one that only looks finished.
The governed baseline your modernization stack is missing
Holonic is the governed baseline that lets an enterprise keep using the LLM or agent of its choice, with a way to check what it produced before anyone has to trust it on faith.
Category
Examples
What it does, and where it stops
Frontier LLM agents
Claude Code · Copilot · Blitzy ·
Moderne · Mechanical Orchard
Probabilistic output over raw code. Reaches about 80%, then stalls in manual cleanup with no reliable way to tell which part is wrong.
Legacy translators
Syntax converters
Modern code wrapped around old structure. The liabilities move forward with the syntax.
Systems integrators
Labor at scale
Linear, slow, expensive to repeat on the next system. Doesn’t produce a governed baseline that outlives the engagement.
Static analysis / graphs
CAST · CoreStory · Blu Age
Describe the code. Do not transform it or govern it. Mapping structure does not demonstrate equivalence.
Holonic CodeIntent
Deterministic control layer
Builds the source-derived model of what the system does, then transforms and governs it. Preserved, changed, removed, inferred, refused, or flagged — every artifact accounted for.
Wherever AI touches your code, something has to verify it.
Modernizing a legacy system. Adopting agents for new development. Governing changes your team didn’t write by hand. Different starting points, same requirement: evidence you can trust before it reaches production.
Federal & Defense
Systems where an undetected change in production is unacceptable.
Lead on deterministic transformation and the chain of evidence. Air-gapped deployments run with a local assisting model, with no external API.
Systems Integrators
A deterministic accelerator that gives you a software-like delivery profile.
We partner through SIs, not against them. Show your client where AI tools stop and where governed evidence starts.
Regulated Industries
For commercial teams that need a defensible record before a system change can be accepted, without the classified handling federal work requires.
Make modernization and AI-assisted change reviewable across banking, insurance, healthcare, and payments, where examiners and auditors expect evidence, lineage, and a name attached to every decision.
Entperise & Cloud Teams
Already running AI coding tools, and not looking for another code translator.
We complement the AI coding tools you've already adopted. We don't compete with your assistant of choice, we make its output something a team can verify and govern before it reaches production.
Proof points
Proven where the code cannot be wrong.
Raytheon Technologies
Mission-critical embedded systems, Phase I delivered. Capability in the highest-consequence environment we serve.
U.S. Air Force · via Alpha Omega
AngularJS → Angular 17, ~75% faster than alternative quotes. Automated, deterministic, equivalence demonstrated at speed.
Multi-state government
~2 million lines of COBOL → Java. Completed ahead of projection with enterprise-scale consistency.
Undisclosed enterprise
Self-modifying assembly → Java. Succeeded where multiple prior vendors could not. Hardest-case capability.
Undisclosed enterprise
An intractable rules engine multiple vendors had passed on. Delivered in a fraction of the projected timeline.
See CodeIntent Studio
Bring the system you can’t afford to get wrong.
In a technical walkthrough, we show how the model, review mechanics, and traceability apply to a representative slice of data similar to your own environment.
Deterministic conversion demo on a real code sample
Live trace: source → intent → target → evidence
Dispositioned scope ledger with every artifact accounted for
Deployment options, including air-gapped
Request my demo →
Under NDA on request. No sales pitch, just a working session.