Two things that are often mixed up
An AI application consists of two parts: the platform, which reads data, provides tools, manages permissions and logs, and the language model, which understands and generates text.
Running the platform in-house is quite feasible. Running a high-performance language model in-house requires dedicated hardware, operations and compromises on quality. Many providers say “on-premise” and mean only the first.
What lives where with Onagero
- On your server: the platform, the analysis copy of your data, the tools, roles and permissions, logs, backups.
- In your systems: your original data. Onagero only reads.
- At the model provider: the content of individual requests, in approved and masked form.
With Onagero, platform, data and tools run on your server; the language model receives only masked excerpts of individual requests. The complete data path.
When cloud is the better choice
- You have no server infrastructure and do not want to run any.
- Your data lives in cloud systems anyway.
- You need many standard integrations, for example in Microsoft 365. See Copilot Studio compared.
When your own server is the better choice
- Your data lives in ERP, shop-floor data collection (BDE) and databases on your own network.
- Your IT policies require that data holdings do not leave the company.
- You want to keep control over backup, recovery and access.