Trusted Automated Risk Solutions runs advanced AI entirely on your premises — so privileged client data never leaves your building, and you can hand your auditor a tamper-evident proof that it didn’t.
Public-cloud AI sends every prompt off-site. For a firm bound by privilege, HIPAA, or a duty of confidentiality, that is a non-starter — so you do by hand the work your competitors are quietly automating. The choice today is a bad one either way: break confidentiality, or fall behind.
A private AI appliance that runs inside your office. Zero cloud transit, air-gapped by design — the model comes to your data, never the reverse. A dedicated instance configured to your matters, never a shared tenant on someone else’s server.
The appliance hands your compliance team clean, cited logs that trace exactly how every request was handled — what ran, where, and that nothing left your building. Ready-made evidence aligned to the SOC 2 and ISO 27001 controls your assessors already use — not a project your team has to run, and not a certification we can issue.
A private analyst that watches your confidential feeds and surfaces only what truly matters — reasoning about significance, not keyword-alerting. It drafts the briefing; you release it — nothing reaches a client or a regulator without your seal.
Every interaction is written to a tamper-evident, hash-chained audit log that stores no confidential content — only cryptographic digests. Your own auditor can independently recompute the chain and confirm what ran, where, and that nothing ever touched the cloud. The product isn’t the AI. The product is the proof.
Every interaction is sealed into a hash-chained log: each block’s seal is computed from the block before it. Stored content is a digest — never the confidential text. Click any block to alter it and watch every seal downstream break.
An edit can hide its content — it cannot hide that it happened. This is exactly what your auditor sees.
This is a live demonstration computed in your browser over a fixed sample — not your data, and not the production digest. The real appliance uses keyed cryptographic digests; your own auditor can recompute the chain independently.
No single model gets the last word. One layer drafts the response, a second independently and adversarially audits it, and a third resolves them into a final answer — the way a consequential decision passes through more than one reviewer before it stands. Around them, an ingest firewall screens incoming content — documents, feeds, external data — before any of it is trusted, an isolated sandbox contains execution, a working memory holds context, and a monitor watches the feeds. The system is engineered to check itself before anything reaches you.
And one rule sits above every layer: the system only ever drafts. Every consequential action waits on a human authorization it cannot bypass — it proposes, you approve. It cannot move money, send a message, or act on its own.
Different regulators, different vocabularies — the same law underneath: what a client tells you stays with you. The appliance is engineered for that law.
Whether privilege survives a prompt into someone else’s cloud is a question you never want to have to argue. On your premises it never arises — matter files, strategy, and drafts are reasoned over by hardware you own, and the log shows every step without storing a word of the matter.
PHI carries its obligations wherever it travels — agreements, subprocessors, breach exposure. The strongest posture is the one where it never travels: the model comes to the record, the record never leaves the building, and the audit chain proves that held.
For private equity, family offices, and accounting practices, discretion is the asset itself. Analysis runs beside the data it serves — and your audit committee receives evidence it can independently recompute, not assurances it has to accept.
Also built for real-estate brokerages and every practice whose word to a client is “this stays here.”
Most security tools are a wall — a filter, a list of denials. We wanted one with judgment. But judgment in an AI is only trustworthy if it is bounded, so we engineered the limits first and the capability second.
The system is governed by an immutable constitutional charter — a fixed set of behavioral rules, enforced in code rather than policy, that the AI cannot alter to suit itself: route confidential data only to local hardware, never reach past what it was given, and never take a consequential action without a human authorization. Those constraints are hardcoded and fail-closed. The model may propose, but it cannot rewrite its own constitution or act around it — and a human stays in command of everything that matters.
It is also built to say “I’m not certain” plainly — to flag the gap rather than paper over it — and to treat your confidential data the way we would treat our own. That is the part you can’t buy off a shelf or fake in a demo: an AI engineered for restraint, by people who would put their own privileged files in front of it. The proof is in the audit chain. The reason it behaves the way it does is here.
“We would rather under-claim and be trusted than over-claim and be right once.”
A sovereign, on-premises AI platform with an auditable, tamper-evident trail — and a cited readiness assessment of your controls.
A SOC 2 report or an ISO certification — those require a licensed firm. Our attestation is an aid your own auditor can recompute, not a legal certification.
Yours. The appliance, the data, and the logs live with you. We sell the sealed appliance and the proof — never a pipe to someone else’s cloud, and never the source.
This page is counting its own network traffic. A sovereign front door loads nothing from anyone else — no fonts, no analytics, no CDN. Don’t take our word for it — check your own devtools.
Thirty minutes, under NDA if you prefer. Tell us your vertical and your constraints — we’ll show you exactly how it runs on your premises, and what your auditor would see.