Insights

How to think about private AI.

Clear, current writing on owning your AI: compliance, cost, what the shutdowns mean, and why bigger is not always better.

Cost

On-prem AI vs. ChatGPT: the real cost over three years

Per-token pricing looks cheap until your team actually uses it. The three-year math, and what you own at the end.

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Business

How to keep your company data out of ChatGPT

Banning ChatGPT does not work. The durable fix is a private alternative that keeps the data in-house.

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Hardware

What a private AI server actually needs

You do not need a data center. A single GPU serves a team; a small box runs a model company-wide.

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Use cases

Private AI that actually knows your business

A generic model knows nothing about you. Retrieval over your own documents is what makes it useful.

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Healthcare

Can AI be HIPAA compliant? A straight answer

Yes, but not the way most practices are doing it. What HIPAA really requires, and why on-premise is the clean path.

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Business

You don't have to be regulated to want private AI

The reasons to own your AI, your data is your edge, the meter, lock-in, and a model tuned to you, apply to any business.

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News

What the Fable 5 shutdown means for your AI strategy

A top hosted model, gone overnight by government order. What it tells every business that runs on someone else's AI.

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Defense

Using AI without failing your CMMC assessment

CUI and cloud AI do not mix. How defense contractors get AI's upside without putting Level 2 at risk.

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Legal

Local AI for law firms: keep privileged data in-house

Privilege does not survive a third-party API. How a private model gives a firm AI's leverage without the exposure.

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Analysis

Why your business probably does not need a frontier model

Around 80% of business AI tasks run fine on open models you can own. The case for right-sizing instead of overpaying.

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