05 / 06
Your data never leaves your building. Private AI models on your own servers or private cloud — with predictable costs.
Some data should never leave your building: patient records, financial books, customer databases, anything a regulator or a competitor would care about. Self-hosting means the AI comes to your data instead of your data going to the AI — open models running on your own servers or private cloud, behind your own firewall, at a fixed monthly cost.
What you get
- Open-weight models deployed on your hardware or private cloud, sized to your actual workload
- Full data isolation: nothing leaves your network, nothing trains anyone else's model
- Monitoring, updates and model upgrades handled under a support arrangement
- Honest hardware guidance — what to buy, what to reuse, what not to overspend on
When this is the right move
- Compliance, clients or your own judgment say data can't go to a third-party API
- Per-token API bills are climbing past what predictable hardware would cost
- You want AI capability that survives a vendor's pricing change
How an engagement runs
1
Size the workload
We measure what you actually need — documents per day, queries per hour — and spec the smallest setup that handles it with headroom. For many SMB workloads that means one GPU server, not a rack.
2
Deploy and isolate
Models, inference servers and monitoring installed inside your network, with your IT team watching every step.
3
Maintain and upgrade
Open models improve every few months. Under support, upgrades and security patches arrive without a new project each time.
Worth asking on the first call
Are open models good enough?
For bounded business tasks — reading documents, answering from your data, drafting in your formats — current open models are well past good enough. We benchmark on your real work before you commit to hardware.
What does the hardware cost?
Useful setups start around the price of a decent car, not a building. Exact numbers come out of the workload sizing — and renting private GPU cloud first is a fine way to start.