Modernize mission systems without losing control.
CodeIntent® builds a deterministic, source-derived model of your legacy system, regenerates it into the architecture you actually want, and proves equivalence line-by-line. Inside your enclave. On your authority to operate.
Air-gapped · on premise · IL5 / IL6 capable · Direct, OTA or via your prime
Data sovereignty, by design
Your source, your weights, your authority.
You should not have to choose between modernization speed and program security. CodeIntent® was built so the answer is both because the transformation engine is deterministic, not a third-party LLM acting on your code.
Runs inside your enclave
Deploys on premise, in your IL5/IL6 cloud, or fully air-gapped. Source, artifacts, and telemetry never leave the boundary you control.
Your code is not training data
No model training on your source. No outbound calls. No third-party LLM in the transformation path. Deterministic by construction, not by policy.
Built for accreditation
IL5 / IL6 Ready. Outputs are deterministic, reproducible, and bind to source. The evidence an authorizing official actually needs.
Engage direct or via your prime
We work as a sub to your existing integrator or directly under your contract vehicle. No disruption to program structure.
Prior performance · Defense & federal
Evidence on the record. Not assertions in a deck.
Verified equivalence at scale. Capability where other vendors stop. Head-to-head wins against the tools you have already evaluated.
vs ~40% over months in a head-to-head against IBM watsonx Code Assistant
U.S. Air Force engagement; every code component, not a sample
across 150 business processes, with traceable equivalence
languages other modernization tools refuse to touch
Third-party validation: a Tier-1 global systems integrator selected Holonic as the layer that closes the 15–20% their own tooling and labor model cannot reach.
How we can say that
We show our work. Every line traces back to source.
Four properties stand behind the claim. They are the reason an authorizing official, a program office, and a warfighter can rely on the same artifact.
Deterministic transformation
Same input, same output, every run. No probabilistic generation and no hallucinations in the transformation path. Nothing for an adversary or an auditor to find non-repeatable.
Source-traceable equivalence
Every line of modernized code binds back to the source construct it came from. Equivalence is demonstrated against the original system, not asserted in a slide.
Bounded, explicit review
Where source behavior is genuinely ambiguous, we surface a finite, specific list for human decision. We do not bury ambiguity inside code that looks finished.
Honest refusal
Where intent cannot be determined from the source, we say so. The difference between a system you can accredit and one that only looks complete.
Why we're built differently
The difference isn't degree. It's structural.
You have evaluated the alternatives. Here is where each one stops, and where we begin.
Probabilistic output over raw source. Race to ~80%, stalls in manual cleanup, and offer no reliable way to identify which 20% is incorrect.
Convert syntax line-for-line. Modern language wrapped around legacy structure. The same liabilities, carried forward into the next decade.
Apply labor at scale. Linear, slow, expensive, and bounded by how many cleared engineers can be staffed against the problem.
Describe the code. Code is not transformed. Equivalence evidence is not produced. Change is not governed after cutover.
Builds a deterministic, source-derived model of the system. Regenerates it into the target architecture with line-bound equivalence evidence. Stays in place to govern every change after cutover.
The platform
A deterministic control layer for mission software.
Modernization is how the engagement begins. The control layer that stays is why it matters to a program of record.
Once a system is in CodeIntent®, that governed model becomes the program's source of truth. The modernized code remains reviewable through a controlled API and MCP interface inside your enclave. Every change after cutover is governed against the original intent, so technical debt and undocumented drift do not silently re-accumulate.
Next step
A focused brief on a representative workload.
Bring a representative slice of a system you care about. We will demonstrate the methodology, run it against your code in a controlled environment, and produce the equivalence artifacts before any migration commitment.
Equivalence is verifiable where source intent and policy are established. Where they are not, exceptions are surfaced explicitly for human decision — not silently resolved. Verification holds within the scope of what the canonical model captures, and we say so on the record.