Sovereign AI Appliance

Sovereign Intelligence
for Regulated Verticals

The productivity of generative AI — for the data that never leaves your building.

We put the AI appliance inside your perimeter. Your privileged, PHI, FERPA, and classified data stays home.

DPLYD is a fully managed on-premises AI appliance: we install and operate AI hardware inside your network, so your documents, your retrieval index, and your prompts never leave your building. One fixed monthly price — no per-seat or per-token fees.

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▲ ABOVE · THE CLOUD third-party API
◇ frontier LLM ◇ public cloud ◇ shared tenancy
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WATERLINE
↑ your boundary ↑
DPLYD Appliance ON-PREM
▾ YOUR DATA — STAYS HOME
privileged PHI FERPA classified

"What's beneath the waterline is your business."

BUILT TO THE STANDARD OF CMMC L2 HIPAA FERPA NIST 800-171
01 / The Tension

The AI compromise you shouldn't have to make.

Frontier AI means shipping your most sensitive information to a third-party API. For law firms, clinics, districts, and defense contractors, that trade is a non-starter.

The architecture you built to protect your assets was right then. It's still right today.

The hidden leak

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.

Read the full explainer →
local document content extraction cloud index · outside your boundary
KEYWORDS

Topics, names, projects, clients, and legal matters — right there in plaintext.

CHUNKS

Verbatim passages copied straight out of the file. Not derived — the content itself.

EMBEDDINGS

Encode the meaning — and are reversible enough to reconstruct the source text.

METADATA

Filenames, authors, dates, case IDs, and paths — a map of what you hold.

RELATIONSHIPS

Which people, entities, and documents connect — disclosure without a single sentence.

A cloud index of local content is exfiltration the moment it holds enough derived information to disclose, infer, search, or reconstruct protected content outside your walls. DPLYD keeps the index on the same side of the boundary as the data.

02 / The Approach

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.

Inside the appliance

A workspace your team already knows how to use.

Skills, tools, and knowledge-base search — running entirely on your own hardware.

dplyd · secure ai workspace
DPLYD AI secure workspace interface
03 / The Platform

Lighthouse: the compliance layer under every deployment

Compliance is a property of the platform — not a feature we bolt on.

Every DPLYD deployment inherits the same hardened base — identity, isolation, segmentation, audit. Your vertical's workflow sits on top; it can't reach underneath.

01

Identity & access

Zero-trust by default.

02

Data isolation

Strict separation of workloads and secrets.

03

Network segmentation

Narrow, enforced communication paths.

04

Supply-chain provenance

Signed artifacts, verified integrity.

05

Content policy enforcement

Continuous oversight of every AI interaction.

06

Managed lifecycle

Auto-reconciled updates, always consistent.

▸ WHAT "BUILT TO THE STANDARD OF" MEANS

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.

04 / The Proof

Sentinel: Audit-Ready by Construction

Paired with Lighthouse, Sentinel turns compliance from a manual claim into an immutable, exportable record.

"trust us" ──▶ evidence on demand.
SENTINEL · AUDIT LOG immutable
policy_check  passed
access_scope  verified
artifact_sig  valid
data_boundary  enforced
▸ export evidence 
Field Results

Proof from the field.

DEFENSE & AEROSPACE

AI 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 →
05 / Who It's For

Built exclusively for regulated verticals.

[✖] DEFENSE & AEROSPACE

Frontier-grade AI, air-gapped.

CMMC L2-ready Deep data segmentation Continuous audit logging & evidence export
Learn more →
[§] LEGAL

ROI without malpractice exposure.

Integrates with practice management Issue-spot large matter sets · assist motion drafting Accelerate triage
Learn more →
[+] HEALTHCARE

Clinical AI, HIPAA out of the box.

Clinical documentation Patient intake triage PHI-safe by default
Learn more →
[↗] EDUCATION

Scale AI across districts.

FERPA-protected Fixed annual budgets K-12 and higher ed
Talk to us about districts →
06 / How It Works
STEP 01
[⊡]

Deploy the appliance

Managed hardware, inside your perimeter.

STEP 02
[⚑]

Your workspace inherits the security layer

Every vertical ships compliant by default.

STEP 03
[✔]

Sentinel proves it

Continuously. Evidence, exportable on demand.

07 / Pricing

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 AIDPLYD
billing unitper seat × per token × egressone flat monthly line item
budget shapegrows with usage, unpredictablefixed — budgetable on an annual or contract cycle
capexnone, but perpetual meteringnone — hardware is ours, on your premises
who can use itlicensed seats onlyyour whole organization

Exact pricing depends on headcount and workload — we quote it in the first call.

Get a quote for your headcount →
FAQ

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. Exact pricing depends on headcount and workload.

Q ▸ Who installs and maintains the hardware?

We do. DPLYD delivers, installs, monitors, patches, and refreshes the appliance as a managed service. Your IT team keeps control of the network boundary; we keep the box healthy.

Q ▸ What models run on the appliance?

Current-generation open-weight models selected and tuned for your workload, updated by us as the state of the art moves. Model choice never requires sending data off-prem.

Stop exposing your most sensitive data to the cloud.

Bring AI productivity to where your value lives.

▸ BOOK A DEMO

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 →
▸ CONTACT SALES
or email kendall@dplyd.io