At my company Shinydocs, we recently hosted two educational webinars on secure, privately hosted AI.
The same three questions kept coming up:
In this post, I'll break it all down fast and clear.
Like what you see? Want to see more? I invite you to chat with my team at Shinydocs.
You have files - maybe on file shares, SharePoint, or iManage. You want to use AI to analyze and search through them, but you don’t want your data vulnerable in the cloud.
That’s where secure, privately hosted AI comes in to ensure:
To put it plain and simple: No exposure. No risk of IP leakage. Just full control.
It doesn’t matter if your environment is on-premises or private cloud - with Shinydocs, it works like this:
I had a little fun playing around with this to show you the potential.
In this quick demo, I uploaded all the JFK papers and used AI to ask some example questions about the docs and get even cooler answers - check this out!
This is ChatGPT and Gemini-level AI power, but pointed only at the documents you choose with zero data leaving your control.
Let's be 100% clear here. This costs 1/100th of what you'd pay for the Cloud AI providers. They are at least 6.3 cents PER PAGE!!! Each time you look at your documents it costs you A LOT of money.
For us, it is one subscription price. No per-page (or per token, or per whatever) charges.
You control where your data lives. You control who sees it.
In our world, there’s no such thing as 100% security, but there is 100% control.
AI is only as useful as it is trustworthy. And for many organizations, the idea of sending sensitive documents to a public cloud AI system raises red flags.
Public cloud AI systems are risky because:
By contrast, privately hosted AI offers:
That means no more digging through folders. No more reading every document. And no more chasing down teammates on Zoom just to get the info you need.
Privately hosted AI delivers the insights without the risks.
Here are a few interesting use cases for privately hosted AI we've seen so far:
Get all of the benefits of leveraging AI, without the potential risks of cloud-based AI.