Sovereign Intelligence
for Regulated Verticals
The productivity of generative AI — for the data that never leaves your building.
Keeping the file local isn't enough. The index is the leak.
Most "on-prem-friendly" AI still ships an index to the cloud. But an index derived from your document is a second copy of it — queryable, correlatable, and often reversible. The original never moved; the sensitive information did. DPLYD keeps the index on the same side of the boundary as the data.
Read the full explainer →Bring the AI to the data. Not the reverse.
Fully managed AI hardware appliances, deployed on-prem, serving the secure local side of your hybrid stack.
On your perimeter
Data never crosses your boundary. The model runs where your value lives.
Fully managed
Hardware, updates, and lifecycle handled by us. You operate; we maintain.
Predictable economics
Fixed monthly. Zero per-token metering. Zero capex.
A workspace your team already knows how to use.
Skills, tools, and knowledge-base search — running entirely on your own hardware.
Compliance is a property of the platform — not a feature we bolt on.
Every deployment inherits the same hardened base — identity, isolation, segmentation, audit — via Lighthouse, our compliance layer. Sentinel records every check in an immutable audit log, so compliance is evidence on demand, not "trust us."
Identity & access
Zero-trust by default.
Data isolation
Strict separation of workloads and secrets.
Network segmentation
Narrow, enforced communication paths.
Supply-chain provenance
Signed artifacts, verified integrity.
Content policy enforcement
Continuous oversight of every AI interaction.
Managed lifecycle
Auto-reconciled updates, always consistent.
CMMC 2.0 L2 — deployed inside contractor environments preparing for Level 2 assessment; the appliance keeps CUI and every derived index within the assessed boundary. See the case study →
HIPAA — PHI is processed on hardware inside your network and never transmitted to a third-party model API, so no model-vendor BAA is required. Access control, audit logging, and isolation map to the Security Rule safeguards.
FERPA — student records never leave district infrastructure; the district remains the sole custodian of education records and their derived data.
NIST 800-171 — the platform's identity, segmentation, and audit architecture is built against 800-171 control families; Sentinel exports the evidence.
Proof from the field.
DEFENSE & AEROSPACEAI Infrastructure for a Defense Contractor Preparing for CMMC 2.0
Deploy generative AI on 20 years of BD content without violating CMMC Level 2 posture or exposing controlled data to frontier models.
Read the case study → View all case studies →Built exclusively for regulated verticals.
One number. That's the pricing model.
DPLYD is priced as a single fixed monthly fee per appliance. Hardware, models, updates, monitoring, and support are all inside that number. We own and refresh the hardware — you never buy a GPU.
| CLOUD AI | DPLYD | |
|---|---|---|
| billing unit | per seat × per token × egress | one flat monthly line item |
| budget shape | grows with usage, unpredictable | fixed — budgetable on an annual or contract cycle |
| capex | none, but perpetual metering | none — hardware is ours, on your premises |
| who can use it | licensed seats only | your whole organization |
Pricing scales from there with headcount and workload — we quote the exact number in the first call.
Get a quote for your headcount →Straight answers.
Q ▸ Does any data leave my network?
No. The model, the retrieval index, the embeddings, and the logs all live on the appliance inside your perimeter. Nothing derived from your documents is transmitted to a third-party API.
Q ▸ What is a sovereign AI appliance?
A managed hardware unit we install on your premises that runs generative AI models locally. You get the productivity of modern AI; your data never crosses your network boundary.
Q ▸ How is this different from a private cloud or GovCloud AI service?
GovCloud and "private cloud" AI is still someone else's computer — your content and its search index are processed and stored outside your walls, under someone else's controls. DPLYD moves the computer to you instead.
Q ▸ What does it cost?
One fixed monthly fee per appliance covering hardware, models, updates, monitoring, and support. No per-seat licenses, no per-token metering, no capex. Pricing starts at $5,000/month per appliance and scales with headcount and workload.
Stop exposing your most sensitive data to the cloud.
Bring AI productivity to where your value lives.
See it on your own data.
A 30-minute walkthrough with the founder — the appliance, Lighthouse, and Sentinel, on your own data.
Open scheduling calendar →