Decentralized AI Network Infrastructure

The hardware you already own, running the AI you need.

DANI orchestrates AI inference across the workstations, servers, and laptops already inside your perimeter — GPUs, NPUs, CPUs, whatever you have. Minutes to deploy. Zero data egress. Fully auditable.

Built for defense, healthcare, finance, and government.

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100% on-premise

Zero data egress

Existing hardware

No GPU procurement

Minutes to deploy

Not months

Fully auditable

Compliance-ready

The problem

Regulated enterprises are locked out of modern AI.

Banks, hospitals, defense contractors, and government agencies face a widening gap between what AI can do and what their compliance posture allows. DANI was built for that gap.

Cloud AI is off the table

Data residency, compliance, and sovereignty rules make it impossible to send customer records, patient data, classified material, or transaction data to a hosted LLM.

Dedicated GPU clusters are too slow and too expensive

Procurement takes quarters, not weeks. Capex is enormous. And most of the time most of the capacity sits idle.

The available open models are a trust problem

Many of the highest-performing open models come with data-sovereignty concerns that make them non-starters in defense, critical infrastructure, and regulated sectors.

Your fleet is already capable

The refresh cycle just put NPUs and capable GPUs into every corporate workstation. That compute is sitting idle while teams wait on AI.

How DANI works

From ideation to a production-ready secure AI environment in minutes.

Map

DANI discovers the inference-capable hardware already inside your network: workstation GPUs, server-side accelerators, laptop NPUs, CPU-only nodes. Nothing is installed outside your perimeter.

Orchestrate

Inference jobs are scheduled across available capacity. Latency-sensitive work lands on nearby accelerators. Batch work fills gaps. The control plane enforces tenancy, quotas, and audit policy.

Serve

Teams consume inference through a familiar OpenAI-compatible interface. Data stays local. Every request is auditable. No token-based billing — you pay for DANI, not for throughput.

Architecture

One perimeter. No exceptions.

DANI’s control plane, inference fabric, and model registry all sit inside your network. Outbound connectivity to the internet is configurable — and off by default.

Customer perimeter

Control plane

Scheduling · tenancy · audit

Inference fabric

GPUs · NPUs · CPUs across your fleet

Model registry

Signed · version-pinned · offline

Internal apps

Chat · RAG · copilots

Automation

Agents · workflows

Analysts & devs

OpenAI-compatible API

● Outbound internet: disabled·Configurable by policy

Data egress: none

How it compares

Built for the constraint, not around it.

Where data is processed

DANIInside your perimeter, always

Hosted cloud AIVendor-operated infrastructure

DIY GPU clusterYour data center (if you built one)

Time to production

DANIMinutes to days

Hosted cloud AIFast, but compliance-blocked

DIY GPU clusterQuarters of procurement

Hardware footprint

DANIUses the fleet you already own

Hosted cloud AIPay per token, forever

DIY GPU clusterCapex-heavy top-tier GPUs

Governance & audit

DANIFull visibility, every request logged

Hosted cloud AIVendor-controlled telemetry

DIY GPU clusterYou build it

Pricing model

DANIFixed — not per-token

Hosted cloud AIPer-token, unpredictable

DIY GPU clusterAmortized capex

Supply-chain trust

DANITransparent, Western-aligned

Hosted cloud AIDepends on provider

DIY GPU clusterDepends on model choice

Comparison of DANI vs. hosted cloud AI vs. DIY GPU clusters
Dimension	DANI	Hosted cloud AI	DIY GPU cluster
Where data is processed	Inside your perimeter, always	Vendor-operated infrastructure	Your data center (if you built one)
Time to production	Minutes to days	Fast, but compliance-blocked	Quarters of procurement
Hardware footprint	Uses the fleet you already own	Pay per token, forever	Capex-heavy top-tier GPUs
Governance & audit	Full visibility, every request logged	Vendor-controlled telemetry	You build it
Pricing model	Fixed — not per-token	Per-token, unpredictable	Amortized capex
Supply-chain trust	Transparent, Western-aligned	Depends on provider	Depends on model choice

What you get

Four things regulated AI has never had — at once.

Data sovereignty

Every byte of input, context, and model weight stays behind your firewall. No third-party ever sees a request.

Time to market

Minutes to days from ideation to a production-ready secure AI environment. No procurement cycle. No integration lift.

Governance by default

Per-tenant isolation, policy-driven routing, immutable audit trails. Designed to satisfy the review, not to be retrofitted for it.

Cost collapse

No more per-token billing. Process as much as you can on hardware you already paid for. One price, unlimited throughput.

For the architects in the room

DANI is adjacent to — but distinct from — what you already know.

Ray

Distributed compute

General-purpose. DANI is purpose-built for inference inside a regulated perimeter.

Kubernetes

Orchestration

Powerful and heavy. DANI ships an inference-first control plane with governance built in.

DePIN networks

Decentralized compute

Open, token-incentivized, external. DANI is closed, enterprise-controlled, and auditable.

DANI design-partner program

Build with us.

We work closely with a small number of design partners in defense, healthcare, finance, and government. If your organization is shaping its AI strategy right now, we’d like to meet.

Request a design partnership Book a security briefing