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dcnetwork.ai
AI Platform · Owned Compute · EU-Sovereign

You Pay Hyperscalers to Rent Your Own Compute. That Stops Here.

DCNetwork is an enterprise AI platform that runs on compute its members own — not rented from AWS, Azure, or GCP at a 10-30x markup. Members own the servers and run the AI platform on top, with every metered action recorded on a transparent, auditable ledger. You keep the margin the hyperscalers used to take.

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System Operational

Three Layers. Three Vendors. Three Times the Cost.

Right now, running AI at scale means stitching together fragmented vendors. You rent GPUs from one cloud provider. You pay another for orchestration software. You wire money to a third for storage and bandwidth. Each layer takes its cut. None of them talk to each other. And when something breaks, you get passed between three support desks while your inference pipeline stalls. It's expensive. It's fragile. And it's not your core business.

One Stack. One Bill. One Vendor Accountable.

DCNetwork collapsed the three layers into one vertically integrated system.

We Build the Datacenters

Datacenters and servers are our core business. DCNetwork members design, own, and operate mobile, air-cooled, EU-sovereign facilities — we don't lease capacity from hyperscalers, we build it. That's the foundation everything else runs on.

The AI Platform Runs On It

Our 50-agent AI platform is the flagship workload — Lucy orchestrates briefs, her sub-agents execute and learn, and your data survives restarts. But the hardware is open: run your own apps and platforms on it, or have us deploy a customized DCNetwork build for your team.

One Transparent Ledger

Every metered action writes to a transparent, append-only ledger. No opaque billing surprises. No hidden egress fees. Just exactly what you used, priced in real time.

Why Trust a New Player?

Fair question. Here's the honest answer: we're not new to infrastructure. Our team brings years of hands-on experience building modular data centers co-located at renewable energy plants across Europe. We learned how to run compute where power is cheapest and cleanest. Now we're applying that same discipline to AI.

Proven efficiency

PUE of 1.07 with patent-pending air cooling — no liquid loop, and recirculating cooling pads that use a fraction of the water legacy hyperscalers evaporate by the millions of gallons a day. That's industry-leading.

Proven speed

Mobile datacenters ship from order to on-site power-on in weeks — not the 3–6 years a traditional build takes once you count permitting and grid interconnect.

Uptime by design

Engineered for 99.9% availability — a design target for the first node coming online, not a measured SLA yet.

Aligned economics

Proof-of-intelligence INTELECT emission plus activity-fee shares pay member hardware from day one — economics designed to keep inference pricing low.

Proven transparency

Every transaction is auditable. Every network activity fee splits 50% burn, 30% to the serving hardware operator, 15% to protocol treasury, 5% to stakers. No black boxes.

DCNetwork operates across two distinct deployment verticals. The civilian enterprise vertical serves high-velocity business workloads — AI inference, automated pipelines, and multi-agent orchestration for teams of 1 to 10,000. The defense-aligned vertical provides hardened node deployments for research institutions, government agencies, and defense contractors requiring air-gapped environments, classified data handling, and operational continuity under adversarial conditions. Both run on the same sovereign stack. Neither depends on foreign-controlled infrastructure.

Abstract Tech Is Expensive. Here Is What It Actually Does For You.

You do not need to care about our database models or server racks. You need to care about raw operational speed. Here is exactly how our integrated architecture changes your daily business execution.

Scenario 1

Collapse your customer operations overhead

Instead of hiring a massive support team or setting up a rigid legacy chatbot that frustrates users,

you initialize Lucy Concierge and link her to Lucy CRM. She immediately handles your inbound customer text threads, processes photo attachments, updates inventory levels, and releases regional delivery tracking orders autonomously.

Your customers get instant resolution; your team handles zero manual data entry.

Scenario 2

Compile critical business intelligence fast

Instead of tasking an analyst to spend three days manual-searching internal drives, cloud folders, and external market registries,

you prompt Lucy Research. Our hybrid search facade sweeps across thirteen internal and external knowledge scopes simultaneously, isolates data discrepancies, and outputs a complete, auto-synthesized business dossier.

Grounded, citation-linked output — every claim traceable to its source.

Scenario 3

Complete data privacy and infrastructure independence

Instead of letting monopoly cloud providers harvest your proprietary company data or squeeze your margins with unexpected API price spikes,

you deploy our On-Premise bundle. Your entire multi-agent workforce executes directly on your private server iron or within an isolated, logically air-gapped environment.

Complete data custody, zero external reliance, and predictable flat computing costs.

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Specialist AI Agents
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Agent Tools Deployed
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Skills Synced Live
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ERP Production Endpoints
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Production Data Models
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Designed Uptime

How we count: agents = production system profiles (Lucy + specialists); skills = the catalog synchronized on the live server; tools = registered agent tool modules; data models = unique database tables across all domain servers. Verified July 10, 2026 — recounted at every copy update.

Calculate Your Productivity Gain

Enter your team size and the workflows you want to automate — see the hours your team reclaims every month.

20

Workflows to automate

Your team reclaims

620

hours every month

≈ 3.9 full-time roles of capacity added

Ultimate license for 20 seats: $30,000/monthIncludes $450/seat/month of pooled INTELECT allocation.

Estimates: hours-per-workflow figures are conservative internal assumptions for a typical team; your results depend on workflow mix and adoption. One full-time role = 160 working hours/month.

Frequently Asked Questions

The short version — what DCNetwork is, what it costs, and how the economics work.

What is DCNetwork?

DCNetwork is an AI infrastructure company. Its core business is building and operating member-owned datacenters and servers — mobile, air-cooled, and EU-sovereign. On top of that hardware it runs a 50-agent AI platform with 19,000+ built-in skills, but the infrastructure is open: customers can also run their own apps and platforms on it, or have DCNetwork deploy a customized build. Every metered action settles on a transparent, auditable compute ledger, with on-chain settlement launching with the INTELECT token.

How much does DCNetwork cost?

Standalone apps start at $1/month (Lucy Astro), with most apps offering a free trial. The DCNetwork Ultimate license is $1,500 per seat per month and unlocks all 12 apps with shared memory — replacing 6+ disconnected enterprise tools.

What are the 12 DCNetwork apps?

DCNetwork ships twelve vertical apps on one platform: Astro, News Desk, Concierge, Research, Automation, Creator, CRM/ERP, Engineering, Trading, Markets Pro, Cinema, and Legal. Start with one app and upgrade to Ultimate for all twelve without migration.

How do node operators earn from DCNetwork?

Node operators earn two ways. Every network activity fee splits transparently — 50% burned, 30% to the hardware node that served the request, 15% to the protocol treasury, and 5% to stakers — and on top of fees, nodes earn proof-of-intelligence emission: newly minted INTELECT weighted by the capacity they actually serve. Everything is recorded on an auditable compute ledger.

How is DCNetwork different from hyperscalers like AWS or OpenAI?

DCNetwork runs on member-owned GPU infrastructure, operates its own multi-agent orchestration layer, and settles every metered action on a transparent, auditable compute ledger — eliminating the 10–30× hyperscaler markup that comes from renting compute, orchestration, and storage from separate vendors.

Where is DCNetwork data hosted, and is it secure?

DCNetwork runs on member-owned, EU-sovereign infrastructure with GDPR data residency and NIS 2-aligned controls, plus a security stack architected for post-quantum from day one — a crypto-agile backend ready to activate NIST-finalized PQC against harvest-now-decrypt-later attacks. On-premise and logically air-gapped deployments are available for full data custody.

How much water do DCNetwork datacenters use?

A fraction of what a traditional datacenter uses. DCNetwork cools with recirculating evaporative pads that consume a small, controlled amount of water — not the 3–5 million gallons a day a typical open-loop hyperscale datacenter evaporates — while still reaching a PUE of 1.07 versus the ~1.5+ industry average.

How fast can DCNetwork deploy new datacenter capacity?

In weeks, not years. DCNetwork datacenters are mobile containers that ship from order to on-site power-on in weeks, compared with the 18–30 months to build — or 3–6 years including permitting and grid interconnect — that a traditional datacenter requires.

How does DCNetwork address NIS 2 and GDPR for EU customers?

DCNetwork's controls are aligned with NIS 2 requirements for digital infrastructure — security governance and a 24h/72h incident-reporting workflow overseen by an in-house cybersecurity team — plus GDPR-native EU data residency on member-owned, EU-sovereign infrastructure. SOC 2 and ISO 27001 certifications are in progress; results are published when available.

Here's the Deal

DCNetwork is a vertically integrated AI platform on member-owned GPU infrastructure, running its own multi-agent orchestration layer and settling every metered action on a transparent, auditable compute ledger — eliminating the 10-30x hyperscaler markup.

Free Productivity Calculator

Enter your team size and the workflows you want to automate — see the hours your team reclaims every month on DCNetwork.

We're onboarding 50 enterprise seats in the 3rd and 4th quarters of 2026. Each one gets a dedicated onboarding engineer. After that, onboarding moves to self-service.
Dedicated-onboarding seats50 of 50 remaining

Each seat gets a dedicated onboarding engineer. After 50, onboarding moves to self-service.