On-premise AI: the cloud or your own servers?
The cloud gets you started fast; your own servers give you control. The right answer is rarely one or the other, but a clear decision about which work runs where.
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Blog
What we learn while building AI inside organizations.
Why AI needs approval before it writes to your systems
When an AI that gives information is wrong, the reader may notice. When an AI that does work is wrong, a wrong record enters the system. The difference is the approval step.
Sourced answers: the precondition for trusting AI
"The AI said so" is not a justification. "Purchasing policy, page 4" is.
How to size hardware for on-premise AI
The right server starts with the model you will run and how many people will use it at the same time. The rest is arithmetic.
What is a model gateway, and why do organizations need one?
A model gateway is the single gate every AI request in the organization passes through: identity, permission, quota, routing and logging in one place.
AI in SAP: a new layer without changing the system
There is no need to replace an ERP that has worked for years. A well-built AI layer makes it easier to use, without changing it.
Want to see it on your own servers?
We will show our products against your needs, using fictional data.