Name: Custom AI Node
Brand: Specter Supply Co.
Price: 1999 USD
Availability: InStock

Question 1

What does the build include?

Accepted Answer

Every AI Node ships with Ollama (the AI engine) and Open WebUI (a browser-based chat interface your team accesses on your local network). We install the models, configure the hardware, set up user accounts, and build your first workflows. The Solo tier runs a single-user setup. Business adds RAG (so the AI can search your internal docs) and multi-user access. Enterprise adds API integrations with your existing tools — CRM, email, Slack, document management.

Question 2

When would I still need cloud AI?

Accepted Answer

For cutting-edge tasks — the latest reasoning models, image generation, or very large context windows — cloud providers still have an edge. But for day-to-day work like drafting, summarization, data analysis, and Q&A, the models we install (Llama, Mistral, Qwen — 32B to 70B+ parameters on Business and Enterprise tiers) handle it. Most teams use their Specter node for 80–90% of AI tasks and keep a cloud subscription for the rest.

Question 3

How does pricing work?

Accepted Answer

The tier prices are starting points based on common hardware configurations. Every build depends on your specific situation — team size, model size, concurrent users, document volume, and what workflows you need. We start with a consultation to understand your requirements, then quote the exact hardware and setup. No hidden costs.

Question 4

What about updates and maintenance?

Accepted Answer

All tiers include 3 months of support. During that time we handle updates, troubleshooting, and any additional workflow setup. After that, optional monthly support plans are available — or you can self-manage. The system is designed to run independently.

Question 5

Can it connect to our existing tools?

Accepted Answer

Yes. The Enterprise tier includes API integrations with your existing systems — CRM, document management, email, Slack, and more. The Business tier includes RAG (retrieval-augmented generation), which lets the AI search and reference your internal documents when answering questions. We build the first three workflows during setup.

Question 6

What about compliance?

Accepted Answer

Running AI locally is the strongest compliance position available. Your data never leaves your premises, there's no third-party processor to audit, and you have full control over retention and access. For teams dealing with GDPR, HIPAA, or privilege requirements, this eliminates the category of risk that cloud AI introduces.

AI that stays
in your building

Cloud AI is convenient but it comes with trade-offs

A private AI setup that your team can actually use

Three tiers built to your needs

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Questions about the AI Node

Keep your data in-house

AI that staysin your building