Pricing
Own the infrastructure. Subscribe to the care.
Pricing depends on GPU class, storage, deployment complexity, installation, training, and support needs. These ranges make the buying conversation concrete.
Starter
From $3,500
For individuals getting into private AI.
- AI-ready workstation design
- GPU examples: RTX 4070 Ti Super / RTX 4080 Super
- Local chat and coding setup
- Document AI starter workflow
- 90-minute onboarding
- 30 days launch support
Professional
From $7,500
For creators, professionals, and serious operators.
- High-performance workstation build
- GPU examples: RTX 4090 / RTX 6000 Ada
- Private document AI
- Creative or coding agent stack
- White-glove install
- Two training sessions
- Managed updates from $399/mo
Enterprise
From $25,000
For companies that need private AI infrastructure.
- On-premise AI architecture
- Multi-user internal assistant
- Secure knowledge base
- Access controls and backup plan
- Staff training
- SLA support from $2,500/mo
- Custom quote and procurement support
Financing
Make serious AI infrastructure easier to adopt.
MADA AI supports monthly payment plans, leasing conversations, and enterprise subscription structures so customers do not need to treat private AI as a single upfront hardware purchase.
Hardware markup
15%-30% depending on procurement risk, warranty handling, and build complexity.
Installation fee
$750-$3,500 for white-glove home or office installation.
Onboarding fee
$500-$5,000 based on sessions, workflows, and team size.
Monthly support
$199-$999/mo for individuals and professionals.
Managed enterprise
$2,500-$15,000/mo for SLA support, updates, security reviews, and workflow upgrades.
Consulting
$250-$500/hr or fixed-scope proposals for enterprise architecture.