Banks breaking up Java monoliths. Healthcare teams proving HIPAA reachability. Investors running technical due diligence on acquisition targets. The work isn't writing new code — it's understanding the code that already exists, at scale, under real regulatory pressure. ArgosBrain gives your agents and auditors a structural view of every codebase they touch.
An auditor asks whether PII ever reaches a public log. A migration architect needs the dependency map of the billing module. A risk officer wants to know whether a deprecated auth path is still reachable from any customer-facing route. These are structural questions — and today they're answered by three weeks of manual grep, read, ask-the-original-author, and hope.
General-purpose LLMs don't help: they hallucinate call paths, miss dependencies, and cannot produce the deterministic evidence auditors demand. Grep-based discovery scopes wrong by definition. Everyone pays for the gap between "the code probably does this" and "the code provably does this."
Ask ArgosBrain about a symbol inside the module you're considering lifting out. The answer names every symbol in the same structural cluster and every dependency edge that crosses the boundary — both outbound (the cluster depends on) and inbound (depends on the cluster). Your architects stop cutting dependencies wrong. Your rewrites don't ship orphan functions.
Caveat stated up front: the boundary we compute is static. Reflection, dependency-injection containers, dynamic dispatch, and globally-mutated state are not visible to any static tool and require human review. We say so in the API response; we say so in the room. Honest scoping is how these projects actually ship.
Name two symbols — a PII source (PatientRecord, CardDetails, any domain object) and a sink (logger.info, stdout, any boundary). ArgosBrain returns every control-flow path between them through your call graph, or an explicit structural report that no path exists. Zero paths is necessary evidence for the "no PII leaks" claim; non-zero paths point the auditor exactly where to look next.
We pair with Semgrep, CodeQL, and SonarQube for field-level data-flow. ArgosBrain is the memory — the place where their findings live, survive refactors, and stay queryable six months after the auditor goes home.
Acquirer receives a brain file from the target. From there, every diligence question — "how many deprecated patterns? what's the convention consistency? where are the tech-debt hubs?" — answers in seconds, not sprints. One analyst produces the same structural report two consulting engagements used to bill $80K for.
Attractive either way you're sitting. Targets use ArgosBrain to prepare a clean diligence packet ahead of time. Acquirers use it to avoid surprise write-downs post-close.
Upload a requirement document; your agent reads it and links it to the symbols that implement it. From that point forward, "is REQ-447 tested?" is a graph traversal, not a manual Excel matrix. Class B and C medical device software teams get their traceability matrices produced as a side effect of normal development — regenerated on every ingest, always current.
"Show every change to the authentication module in the last 90 days, with reviewer sign-off." That's one query, the report generates in seconds, and it round-trips through git history so the auditor sees the source of truth. Your compliance team stops writing SQL against Jira.
ArgosBrain runs as a local Rust binary, in-process with your agent. Nothing leaves your machine unless you explicitly configure an outbound integration. For regulated environments, that's not a feature — it's a precondition.
For teams sharing a brain across laptops: on our Q3 roadmap we ship a mutual-TLS transport so five engineers can attach to one canonical brain on a dedicated host. On-prem-friendly by design; no vendor cloud in the loop.
Enterprise pricing is tier-structured and negotiated per organisation. We offer pilot engagements (30 days, one business unit, full support) and a formal security review packet covering supply-chain, threat model, and deployment posture.
Contact [email protected] for a call. Put "Enterprise pilot" in the subject and include a two-sentence summary of the codebase size and industry — it saves a qualifying email round.