Read the whole {{ typed }} before you claim it's secure.
Archie learns how your system is actually wired — what each function can reach, where trust ends — then sends offensive-security agents down the paths that matter. Every hypothesis is challenged by a verifier before it reaches your team.
One scan, from clone to verified finding.
Recorded end to end on a real production codebase: hundreds of files learned, dozens of confirmed findings, a few dollars of compute.
drop the walkthrough MP4 here
Learn first. Attack second. Prove last.
Pattern matchers see a line at a time. Archie learns how the whole system fits together and keeps that understanding between scans, so a finding arrives with the path that reaches it.
{{ st.h }}
{{ st.p }}
It remembers your repository.
Every commit adds to what Archie already understands about your code: which functions hold real capability, which inputs are trusted, what changed since the last audit. Nothing is relearned from scratch, so each scan starts sharper than the last.
→ Path.resolve(userInput) → FileOutputStream
No time to waste on manual triage.
Our dedicated agent fleet drops the issues that are either non-reachable or accepted by design, before they ever reach your queue.
A full-featured knowledge base.
It learns from your documents, design meetings, whitepapers, product definitions and more.
No recall loss. No lost in the middle.
Reachability lives in the graph, not in a prompt window, so it holds up as the codebase grows — and it holds up on models that aren't state of the art or frontier.
{{ m.h }}
{{ m.p }}
Measured against the SAST you already run.
Same repository, same commit, same reviewer. Figures from our internal Java/Node benchmark suite, October 2026.
Every scan leaves a full record, not a PDF.
Cost, findings and outcomes per category, straight from a real audit run.
What security teams say after the first audit.
Placeholder quotes — swap in real pilot feedback.
“{{ t.q }}”
Findings mapped to the frameworks you get audited against.
Each confirmed finding carries the controls it breaks, so evidence collection stops being a spreadsheet exercise.
{{ f.d }}
Runs where your code already runs.
Trigger on pull request, on merge, or nightly against a branch. Verified findings arrive as checks, tickets and SARIF.
Your source stays yours.
Run it entirely inside your own perimeter.
Bring your own LLM or route every call through your existing gateway. No model call has to leave infrastructure you control.
{{ dm.d }}
One enterprise agreement. Priced per repository.
Archie is sold direct while we are in private beta. Scope, deployment model and audit cadence are agreed with your security team before the first scan.
No per-seat fees. No finding quotas.
Asked by every security team so far.
{{ q.q }} +
{{ q.a }}
Point Archie at one repository.
We run the first audit with you, walk every finding together, and you keep the report either way.