Everything you need to use AI securely
Our technology stack makes it possible to bring artificial intelligence into organisations while keeping control over data, models and infrastructure. Security and sovereignty are part of its design from the very beginning.
At LurNova we have developed a set of solutions covering the different layers needed to deploy AI in an organisation with confidence.
From a corporate platform that brings AI into everyday work and connects it with the organisation's knowledge, to a common architecture for running and managing different artificial intelligence models and services.
On top of this, you can deploy private models and choose the most suitable infrastructure for each project. Altogether, this enables us to develop secure AI solutions tailored to each organisation.
LurNova MIA
AI within reach of the whole organisation
LurNova MIA is our corporate artificial intelligence platform for bringing AI into teams' daily work from a common, secure and governed environment.
It brings together different AI tools and features and connects them with the organisation's knowledge, so that people can look up information, work with it and use AI agents tailored to their needs.
The platform includes governance features to manage users, permissions and access, and to control who can use each capability and which information they can access.
LurNova AI Model Hub
Different models, one common architecture
LurNova AI Model Hub is our platform for deploying and managing different artificial intelligence models from a common environment.
It lets you work simultaneously with private models and models from different providers, preventing applications from depending directly on a specific model.
For external models, it includes filtering and protection mechanisms that make it possible to control the information sent to these services, helping to prevent the exposure of sensitive or unauthorised data and reduce the risks associated with their use.
Private AI models
Greater control when the project requires it.
We deploy and optimise private AI models, selecting the most suitable option according to the use case, the type of information they need to process and the performance, security and privacy requirements of each project.
Private models can run on infrastructure under the organisation’s control, so that information is processed within the corporate environment without having to send it to external services. This makes it possible to decide where each model runs and under what conditions, keeping control over data and how it is processed.
The infrastructure each project needs
Artificial intelligence needs technology infrastructure to run, but every organisation has different needs in terms of security, capacity, investment and operations.
That is why we can deploy our AI solutions in different environments, adapting to the needs of each client.
On-premise
For organisations that need to keep their data, systems and AI model execution within their own infrastructure, with direct control over the environment in which they operate.
Cloud
For organisations looking for their own cloud environment without having to invest in physical infrastructure. A flexible, scalable option whose resources can be adapted to their needs.
LurNova infrastructure
For organisations that prefer not to take on technical management, we offer our 100% European AI-specialised infrastructure, designed to simplify day-to-day operations and reduce costs.
Staying in control also means being able to choose
We see technological sovereignty as the ability of organisations to decide which AI technologies they use, where they run, how their data is managed and how their solutions evolve, staying in control over time.
Our solutions make it possible to combine different models and execution environments, as well as set permissions, apply oversight mechanisms and control which information each solution can use.
In this way, organisations can reap the benefits of AI without depending on a single provider or model. Sovereignty does not mean isolation, but freedom of choice.
This approach translates into a set of capabilities that strengthen the control and governance of AI and help meet each organisation’s security and compliance requirements, including those set by applicable European regulations:
Protect data and knowledge, defining how they can be used and who can access them.
Keep control over models, working with different options and avoiding unnecessary dependence on a single provider.
Choose where AI runs, through on-premise or cloud deployments or on infrastructure managed by LurNova.
Manage users and permissions, establishing who can use each capability and which information they can work with.
Oversee the use of AI, adding logging, monitoring and traceability mechanisms when the project requires it.
Keep the ability to evolve, making it easier to add or replace models and technologies as needs change.
Frequently asked questions
What technology does LurNova develop?+
We have our own technology to help organisations adopt and manage artificial intelligence. Our main platforms include LurNova MIA, focused on the corporate use of AI and knowledge, and LurNova AI Model Hub, focused on deploying and managing different AI models.
Are LurNova MIA and LurNova AI Model Hub the same thing?+
No. LurNova MIA is the layer through which people access AI, knowledge and capabilities such as assistants and agents. LurNova AI Model Hub provides the technology infrastructure for deploying and managing the models that LurNova MIA and other solutions can use. They can work together, but they address different needs.
Do we need to use all of LurNova's technology?+
No. The architecture can be adapted to the needs of each project. We can use different components independently or combine them when it makes sense.
Can we use different AI models?+
Yes. Our architecture lets you work with different models and providers and select the most suitable option for each need.
Do you work only with private models?+
No. We can work with private models, open models and commercial services, depending on the use case and the requirements of each organisation.
Can we deploy the technology on our own infrastructure?+
Yes. Depending on the project, we can work on the organisation's own infrastructure, cloud environments or infrastructure managed by LurNova.
How do you protect data and knowledge?+
We design the architecture of each project taking into account aspects such as the execution environment, the models used, access, permissions and how information is processed. The specific measures depend on the requirements and characteristics of each solution.
What does sovereignty mean in artificial intelligence?+
We see sovereignty as an organisation's ability to keep control and decision-making power over its data, its knowledge, the models and the infrastructure it uses, avoiding unnecessary dependencies that limit its evolution.
Can your technology connect with existing systems?+
Yes. Depending on the project, we can connect it with corporate applications, databases, document repositories, APIs and other systems to bring AI into the existing technology environment.
Can the technology evolve with new models and capabilities?+
Yes. The architecture is designed to incorporate new models, knowledge sources, agents, integrations and other capabilities as technology and the organisation's needs evolve.
Let's talk about the technology your project needs
Not every AI project needs the same architecture or has to start in the same place. Tell us what you want to launch and let's work out the best way to make it happen.