// AGENTIC_INFRASTRUCTURE_INITIALIZED
Sovereign
Intelligence.
Private AI agents at any scale. Own the agents, own the model, own the infrastructure. We engineer + manage your swarm - from 5 agents to 50,000 - on hardware you control or hardware we operate exclusively for you.
Custom-quoted. Sized to your workload. Infrastructure cost passed through, not marked up.
// WHAT_YOU_OWN
Four guarantees, every deployment.
// PRIVATE
Your data never leaves your perimeter.
Dedicated agent infrastructure on hardware you own or hardware we manage exclusively for you. Zero shared tenancy. Full audit trail. Compliance-grade by default.
// SOVEREIGN
You own the agents. You own the model.
Open-weights or licensed models running under your control. No vendor lock. Fine-tune on your data without sending it to a third party.
// SCALE
Five agents to fifty thousand. Same product.
Architecture sized to your workload. Spin up swarms, hibernate when idle, burst on demand. Token volume, latency, and concurrency tuned for your use case.
// FLAT
Infra cost passed through. Predictable monthly.
We don't markup tokens. We don't tax compute. You pay your actual infrastructure cost plus our management fee. No usage surprises, no rate-limit walls.
// WHAT_THIS_COSTS_ELSEWHERE
Pay for the workload. Not for the box around it.
Reference workload: ~100 agents, ~30B tokens / month. Real numbers from public pricing pages. Magic Sovereign is custom-quoted; the range below shows where the same workload typically lands once we strip vendor markup, eat the ops layer, and pass infra through at cost.
| Option | Headline price | All-in / mo at workload | Tradeoff |
|---|---|---|---|
| DIY on Kimi K2.6 API | $0.74 / $4.66 per M tokens | $90K–$200K | you build + run + monitor + on-call |
| Anthropic Claude Enterprise | $300K-5M / yr custom | $25K–$200K | vendor-locked, no infra control, no privacy guarantee |
| OpenAI ChatGPT Enterprise + API | $60/seat + tokens | $50K–$500K | seat-priced, per-token API on top, OpenAI-owned data path |
| Cohere North enterprise | $250K-2M / yr | $20K–$165K | multi-year contracts, narrow model selection |
| Cognition Devin | $500/agent/mo | $50K–$100K | coding agents only, no generic swarm support |
| Magic Sovereign | Custom-quoted - pay only what your workload costs | $18K–$80K | - that's the point |
// Sources: platform.kimi.ai/docs/pricing/chat (Kimi K2.6 $0.7448 / $4.655 per M tokens), anthropic.com/pricing (Claude Enterprise), openai.com/enterprise (ChatGPT Enterprise + API), cohere.com/north (North), cognition.ai (Devin per-agent). All-in column accounts for engineering time, infra, monitoring, on-call.
// HOW_PRICING_WORKS
Hardware++. You pay what it costs, plus what we do.
Magic Sovereign is not a monthly subscription. Every quote is built from the same five pieces - itemized so you see exactly what you're paying for. Hardware is real cost (passthrough or small disclosed markup). Everything else is what we do for you.
// HARDWARE
Hardware
One-time. Real cost. We source through Nvidia partner network or you buy direct. We don't bury margin.
from $4,699
// SETUP
Setup
One-time project fee. We install, configure, deploy your first agents, train your team.
from $5,000
// SOFTWARE_LICENSE
Software license
Annual. Our agent runtime, skill packs, monitoring, admin UI. Subscription or perpetual - your call.
from $5,000 / yr
// MANAGEMENT
Management
Retainer or scoped engagement. Light-touch advisory through embedded ops team. Mirrors how MSPs charge for IT.
from $2,000 / mo
// ADD-ONS
Add-ons
Custom agents, training cohorts, expansion projects, SLA upgrades, incident response. Quoted as scoped.
as needed
You see every line item in your proposal. No hidden hardware margin. No vendor-locked tokens. Walk-away clauses on everything.
// SIZED_TO_YOU
From a single desktop box to a multi-rack data center.
A solo developer running embeddings + private RAG can be live on a $5,000 desktop AI box. A 200-person company running an engineering swarm fits on a single GPU server. An enterprise running every function on agents goes multi-rack. Same product, sized to your workload.
// SINGLE_BOX
Single box
Solo / small team
1× Nvidia DGX Spark (128GB unified, 1 PFLOP FP4)
Typical users: 1-3
Best for: private RAG, embeddings, document workflows, knowledge agents, local fine-tunes
// WORKSTATION_CLUSTER
Workstation cluster
Small team / department
4-8× pro GPUs OR 1× DGX Station-class
Typical users: 5-25
Best for: team RAG + workflow automation + light coding swarm + customer support tier-1
// GPU_SERVER
GPU server
Department / mid-market
1× 8-GPU H100 / B100 SXM rack-mount server
Typical users: 25-200
Best for: engineering swarm, support replacement, content + research at scale, data agents
// SINGLE_RACK
Single rack
Enterprise
Multi-server rack (4-8× nodes + InfiniBand + cooling)
Typical users: 200-2000
Best for: full enterprise agent platform, cross-BU RAG, quant signal extraction
// MULTI-RACK
Multi-rack
Hyperscale / custom
Custom architecture, multiple racks, bespoke networking
Typical users: 2000+
Best for: AI-first companies running every function on agents
Ranges shown. Final numbers in your proposal anchor to your specific workload, hardware preferences, and management scope. Sources: Nvidia DGX Spark MSRP $4,699 (Feb 2026), 8-GPU H100 server $300K-$450K.
// HOW_IT_WORKS
Discovery to production in weeks, not quarters.
Discovery
We map your workload - agent count, token volume, latency requirements, data sensitivity, integration surface. One call, written brief, no slide deck.
Architecture
We propose the deployment shape: we-host on private infra, you-host on your hardware, or our hardware customer-operated. Sized to your workload, not to a tier.
Deploy
Stand-up in days, not quarters. Models, orchestration, monitoring, MCP endpoints, agent skill packs all pre-built. Your data path validated before go-live.
Manage
Ongoing optimization. Cost per agent, latency tuning, model upgrades, new skills. You get a named team, not a ticket queue.
// USE_CASES
What companies actually run on Sovereign.
Engineering swarm
Hundreds of coding agents working alongside your team. Code review, refactor, test generation, doc-writing, on-call triage. Your repos never touch a public API.
Customer support replacement
Tier-1 deflection at the scale Klarna replaced 700 agents with one assistant. Your tone, your knowledge base, your escalation paths.
Quant signal extraction
Thousands of agents continuously parsing news, filings, transcripts, social. Latency-tuned for trade signals. Air-gapped from public networks if you need it.
RAG per business unit
Each department gets its own knowledge agent with permissions scoped to their data. Sales, legal, ops, eng - one platform, isolated tenants.
Sales + revenue ops
SDR, AE, CSM agents running your funnel. Qualifying inbound, drafting proposals, expanding accounts. Full pipeline coverage at marginal labor cost.
Content + research at scale
Continuous research, drafting, fact-checking, translation. Your editorial standards, your brand voice, your style guide built in.
// QUESTIONS
Before the discovery call.
Is this a SaaS subscription?
No. Magic Sovereign is custom-quoted enterprise. Every deployment is sized to your workload. We don't have a price card - we have a quote process.
How is pricing structured?
Three components: (1) your actual infrastructure cost, passed through transparently; (2) software licensing for the agent runtime, skill packs, MCP, and orchestration; (3) our management fee covering ongoing ops, model upgrades, and tuning. You see the breakdown in your proposal.
We-host vs you-host vs hybrid?
We-host: we run everything on private infrastructure dedicated to you. You-host: you bring the hardware or cloud account, we deploy and manage the software. Hybrid: our hardware, your operators. Decide at architecture stage based on your compliance and cost model.
What models can we use?
Open-weights (Kimi K2.6, Llama 3, Mistral, Qwen, DeepSeek), licensed enterprise models, or your own fine-tuned weights. Routing is policy-driven - you decide what runs where.
Data residency + compliance?
Choose your region, choose your hardware, choose your network. We can air-gap, we can run in your VPC, we can run on bare metal in your facility. SOC 2, HIPAA, GDPR ready paths available.
How fast can we go live?
Discovery to first agents in production typically 2-6 weeks depending on integration surface and compliance scope. Hyperscale deployments quoted with project plan.
What happens if we want to leave?
You take everything with you. Models, fine-tunes, agent definitions, workflow code, data - it's yours by default. We help you migrate out if you ever choose to.
// GET_A_QUOTE
Tell us what you need.
We'll build the box around it.
No price card to compare against. No tiers to fit yourself into. Describe your workload - agent count, token volume, deployment preference - and you'll get a sized proposal back within two business days.
→ Reviewed by Mike + Brooke before send
→ Real numbers, not "starting at"
→ Infrastructure cost broken out separately
→ No SDR follow-up spam
// CLOSING