AI can also run within a private environment
Artificial intelligence models can run within an environment controlled by the organisation itself, so the most sensitive information does not have to be sent to external services to be processed.
At LurNova we select, optimise and deploy private AI models tailored to the needs of each project. This makes it possible to decide where information is processed, which data the model can use and who can access it.
The models can run on the organisation's own, dedicated or controlled infrastructure and connect to applications, assistants, agents and corporate knowledge, bringing AI capabilities to different use cases without giving up control over the information.
Private models tailored to each need
Bringing in a private model involves several decisions: which model to use, where to run it, which information it should work with and how to build it into the organisation's applications and processes.
At LurNova we address these decisions together, looking for the most suitable combination of model, infrastructure and architecture for each project.
Choosing the right model and environment
Not every project needs the same model or has the same requirements. We select and configure each model according to the task it must perform, the information it will work with, the performance required and the infrastructure available.
This helps find the right combination of model and infrastructure and define where it should run and which information it can process.
Bringing the model to where it is needed
A private model becomes valuable when its capabilities are part of the organisation's tools and processes.
That is why we can build it into applications, assistants, agents and corporate systems, connecting it to the knowledge and resources each use case requires.
A private model can thus be used in anything from an assistant that works with sensitive documentation to an application or agent connected to the organisation's systems.
Combining private and external models
Using private models does not mean that all artificial intelligence has to work in the same way.
An organisation can use private models for certain data and tasks and external services for other cases, choosing the most suitable option at each point.
Through LurNova AI Model Hub, different models can be made available to applications, assistants and agents from a common architecture, centralising aspects such as access, security, traceability and control over their use.
Frequently asked questions
What is a private AI model?+
It is an artificial intelligence model that runs on the organisation's own, dedicated or controlled infrastructure, allowing the organisation to determine where information is processed and under what conditions the model operates.
Is a private model one built from scratch by LurNova?+
Not necessarily. At LurNova we select suitable models for each project and take care of optimising, configuring and deploying them in the required environment.
What are the benefits of using a private model?+
Mainly, greater control over where information is processed, which data the model can use, who can access it and the conditions under which it runs. This is especially relevant when working with sensitive information.
Does every project need a private model?+
No. The decision depends on the use case, the information to be processed, the security requirements, the expected performance and the infrastructure available. In some projects it may be more suitable to use private and external models in combination.
Where can a private model run?+
It can be deployed on the organisation's own infrastructure, dedicated infrastructure or controlled environments, depending on the needs of each project.
Can a private model work with the organisation's internal knowledge?+
Yes. A private model can be part of solutions connected to documentation, repositories, databases and other sources of corporate knowledge, respecting the access rights set for each case.
Can it connect to applications, assistants and agents?+
Yes. Private models can be used from corporate applications, assistants, agents and custom-built solutions, providing AI capabilities within different processes and tools.
Can private and external models be used at the same time?+
Yes. Both can coexist within the same architecture. This makes it possible to use different models depending on the task, the information and the requirements of each case.
What role does LurNova AI Model Hub play?+
LurNova AI Model Hub provides a common architecture for deploying private AI models, managing both private and external models and making it easier to integrate them with applications, assistants and agents. It centralises aspects such as access, security, traceability, routing and consumption control.
Can the model be changed in the future?+
Yes. A decoupled architecture makes it possible to add new models or replace existing ones as technology and the organisation's needs evolve, without necessarily having to rebuild the applications that use them.
Does a private model make sense for every project?
The answer depends on the information you need to use, the level of control required and what you want to achieve with AI.
Tell us what you want to set up and we will work out which combination of models, infrastructure and architecture best fits your project.