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AI Station — Private AI on your hardware · CognitiveBytes
Private AI Appliance · CognitiveBytes

AI Station.
Nothing leaves the room.

Your AI runs on your own machine — 100% data sovereignty, fixed cost instead of token bills, and zero network latency. It’s not a promise that sensitive data stays local. It’s an audit row you can query and show a regulator.

Local 27B-class model OpenAI-compatible endpoint Fail-closed by default
ai-station · v1/chat/completions
$ curl localhost:8000/v1/chat/completions \ -H “Authorization: Bearer ••••”
AUTH
key OK · agent=hipaa-privacy-officer · clearance ≤ RESTRICTED
CLASSIFY
request → CONFIDENTIAL (1× MRN detected)
SCRUB
MRN → tok_a91f3 · raw → vault.db (Fernet)
ROUTE
model=local-27b — only model cleared for CONFIDENTIAL
MODELON-SITE
inference on local hardware · 0 cloud bytes
AUDIT
row written · class=CONFIDENTIAL · 214ms
200 OK · application/json
The reference architecture

Three decks. One pipeline. Every request, in order.

A request drops from the crew through three decks, top to bottom: the flight deck decides who’s allowed and what the data is, the mid deck makes it safe and picks its engine, the lower deck runs it and writes the log. Identity is checked before any data moves, sensitivity is classified on the raw text, PII is scrubbed before a model ever sees it, and the router only offers models cleared to receive that class. The result: there is simply no route to the cloud for data that isn’t allowed to leave.

CREW AGENTS — your apps, teams, services. Each holds its own key, a clearance ceiling, and a daily budget. They board from above and call into the flight deck; an agent is a config entry — swap one, no rebuild.
FLIGHT DECK
COMMAND — the request decides itself here:
who is allowed, what the data is
01 · HELM
Gateway
The single front door. One OpenAI-compatible endpoint; identity checked before any data moves. Denied requests never open a connection.
02 · CARGO SCAN
Classify
Runs on the raw text: public → restricted. Deterministic, config-driven, fail-closed. Routing can’t act until it knows how sensitive this is.
MID DECK
PROCESS — make it safe, then pick the engine
03 · SANITIZE
Scrub
PII & secrets tokenized or redacted before a model sees them. Raw values go to an encrypted vault — they never reach a model or the log.
04 · DISPATCH
Router
The switchboard: capability, data-class ceiling, cost, latency, health. Only offers models cleared to receive this class — then it’s a policy call, not a redeploy.
LOWER DECK
EXECUTE & RECORD — the engines, and the log
05 · ENGINES
Models
Local 27B-class engine serves every data class and never leaves the building. Frontier cloud (optional) is cleared for public/internal only — there is simply no route to it for the rest.
06 · SHIP’S LOG
Audit
Every decision written — agent, model, class, latency, cost, denials included, FTS5-searchable. Content stored scrubbed; raw only in the vault. The row you show a regulator.
auth → classify → scrub → route → model → audit · single process · policy in version-controlled YAML Full layer-by-layer breakdown
Bastion · security agent suite

Regulated industries get Bastion.

Bastion is the security agent suite — the crew aboard the Flight Deck. Pre-built for compliance, running entirely on your infrastructure. No cloud dependencies, no data exfiltration. Each agent is a config entry: its own key, clearance ceiling, and model roster.

SOC2 Assessor
Continuous evidence collection for SOC2 Type II readiness. Stop chasing documents.
ISO27001 Auditor
Automated gap analysis against ISO27001:2022 Annex A. Certification-ready reports in hours, not weeks.

“Sensitive data stayed local” isn’t a promise — it’s an audit row you can query and show a regulator.

DATA SOVEREIGNTY

Your AI runs on your hardware.

No data leaves your premises, no shared infrastructure, no per-token fees. Sensitive data physically can’t reach the cloud — there’s no route to it, and no raw value in flight.

THREE LOCKS

Local stays local by construction.

Agent clearance ceiling, per-model data-class clearance, and scrub-before-model. Three independent locks — remove any one and the other two still hold. Config refuses to start if it’s malformed (fail-closed).

FIXED COST

Own it, don’t rent it.

Replace variable token fees with a fixed capital asset. Predictable cost, no rate limits, no cloud outage at 2am. “Which model” becomes a per-request policy decision — not a bill you can’t control.

THE PROOF

Every decision, queryable.

Each call is logged to a search trail — agent, model, data class, latency, cost, denials included. Content is stored scrubbed; raw values live only in an encrypted vault. This is the artifact an auditor asks for.

Local model
27B-class on-site
API
OpenAI-compatible
Reference platform
128 GB unified (GB10)
Policy
Config-driven · fail-closed
Reference platform is an example deployment (e.g. NVIDIA GB10) — swap for any on-prem GPU you run. All policy, classifier & scrub rules are version-controlled YAML, not code.
Start here

Stop renting AI. Own the stack.

We audit your AI infrastructure and build the roadmap that turns broken builds into production — on your hardware, in your data, with the receipts.

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