AI that never leaves the building.
Air-gapped, sovereign, fully on-prem.
On-premises AI modules run locally in your facility, domain-specific intelligence for critical infrastructure, with no outbound connectivity and nothing leaving the site.
- Air-gapped
- Data never leaves
- Single-tenant
- GPU-optional
- Audited
On your appliance · illustrative
The problem
Some sites can't use a cloud.
Defense, sovereign, financial and regulated facilities can't send telemetry to a multi-tenant cloud, compliance forbids the egress. So the usual cloud-AI answer is off the table from day one.
- Compliance forbids telemetry leaving the site
- Air-gapped networks have no outbound path
- A multi-tenant data plane is a non-starter for some auditors
Where cloud AI is not allowed
Data never leaves
Everything stays on-site.
Telemetry, inference, baselining, the model store and every alarm live on the appliance in your facility. No outbound connection required.
Your facility · air-gapped
Inference, baselining and alarms all happen here
Nothing leaves the site · illustrative
What this helps you do: get predictive AI on sensitive sites without a single packet of telemetry leaving the building. Sample data shown.
When cloud is not an option
Local, offline, and fast.
Sub-second decisions
Models run on the local appliance, so anomaly scoring and thresholds resolve with no network round-trip.
- Local
- No round-trip
- Real-time
No internet required
The module runs without outbound connectivity; model updates arrive as signed bundles you import.
- Offline
- Air-gapped
- Signed
GPU-optional, ARM-friendly
Runs on x86 with optional GPU, and is packaged for ARM appliances at the edge.
- x86
- ARM
- GPU-optional
What a security team will ship
Guarantees, not good intentions.
If the first question is “where does the telemetry go?”, the answer here is “nowhere”.
Runs without internet
No outbound dependency, no phone-home. The module is functionally complete offline.
Local model store
Models live on the appliance. Inference, baselining and scoring all happen on-site.
Data never leaves
Telemetry, predictions and alarm context stay on-site, no copy to anyone's cloud.
GPU optional
CPU-only deployments work for most data-centre and BMS use cases; add a GPU when you need it.
Single-tenant by design
No multi-tenant data plane. Your appliance is your appliance, no shared anything.
Custom-model deployment
Bring your own model bundle, or have Prochista ship a tuned model for your site.
Respects your change window
Nothing rolls forward silently.
Updates land when you decide they land, and every inference and model swap is traceable.
1. Deploy
The image arrives on a physical or virtual appliance, installed in your data centre.
2. Operate
Local inference scores telemetry continuously and feeds findings into ProDCIM.
3. Update
Signed model bundles are imported on your change window, no silent auto-push.
4. Audit
Every inference, model version and operator override is timestamped and traceable.
Single-tenant·no egress·every inference and model version audited·SOC 2 Type II Certified
On-Prem is one deployment mode of AI Management. Need fleet scale instead? See On-Cloud AI System.
Part of the platform
Sovereign AI, inside ProDCIM.
FAQ
Frequently asked questions
Who needs on-prem AI modules instead of cloud-based AI?
Is on-prem AI slower than running AI in the cloud?
How do AI model updates work in a facility with no internet access?
Do the on-prem AI modules require a GPU?
Can we run our own custom AI models on the appliance?
Can auditors trace what the on-prem AI is doing?
Predictive AI, without the egress
Book a walkthrough and we'll run an on-prem AI module against a sample of your telemetry, in your facility.