The model can become yours.
DBRAINS is independent of the underlying model. It starts from the best models on the market and reaches, if needed, a private model that lives inside your infrastructure. Whichever model you choose, it powers the WAVEs and SYNAPSES in the same way.
One question: where the data goes.
-
Standard
Frontier models
Claude, GPT, Gemini and others, accessible via API. No infrastructure to manage, continuously updated and covering any task. The model is configurable per type of operation.
Default -
Alternative
Open source models
Open source models managed through an inference service compliant with GDPR and the AI Act. A more private environment from the base model on, without fine-tuning.
Self-hosted -
Advanced
Custom Model
Vertical fine-tuning: an open source model calibrated on the company's historical data. An expert trained on your context, not a generalist.
Optional
Three solutions, criterion by criterion.
The choice of model is independent of execution: what changes is where the data goes, the infrastructure and when each solution makes sense. Here are the three compared directly.
All three power the WAVEs and SYNAPSES in the same way: the knowledge doesn't change, only where the model runs.
When AI can truly become yours.
For companies with years of structured historical data, the conversation shifts from "which model do you use?" to "can I have a model of my own?". The result is a private model that answers in your company's language and logic.
Dedicated server
The model is hosted on a server dedicated exclusively to the customer, which powers on when needed and shuts down when the team isn't working. No fixed cost for idle hours.
It's not a self-service process
Selecting and organising the data requires support. DEGG guides the journey from mapping the document estate to validating the results.
Vertical fine-tuning produces value only with sufficient, quality data. The threshold is significant: years of structured material, not weeks.
Do you have a wealth of historical data?
Let's assess together whether vertical fine-tuning is right for you, from mapping the document estate to activating the model.