Innovate with generative artificial intelligence

An LLM (Large Language Model) is an artificial intelligence model designed to understand and produce natural language from large amounts of data. For example, it can write texts, summarize documents, generate code, or answer complex questions. Unlike traditional automation, an LLM is able to grasp the subtleties of language and adapt to your business contexts, making it a powerful and versatile tool for business. Within the larger field of generative AI, other specialized models can also create images, audio, or video.

• Customer support : chatbots and virtual assistants capable of responding 24/7 in natural language.
• Marketing : generation of articles, newsletters, posts on social networks.
• Documentary analysis : automatic summary of reports, extraction of key information.
• Software development : code generation and assistance.
• HR and legal : writing job descriptions, summary of contracts.
• In-house training : creation of dynamic educational content and FAQs. These uses make it possible to save time, o fimprove the quality of service And of reduce operational costs.

By nature, an LLM can sometimes produce approximations or errors, called “hallucinations.” To ensure reliability, we use methods like RAG (Retrieval-Augmented Generation), which allows base the answers on your real internal data. In addition, human validation mechanisms (Human-in-the-Loop) and governance rules ensure that the results remain accurate and usable.

The model can be trained or adapted with your internal sources : FAQ, manuals, knowledge bases, CRM, ERP, Intranet. The more data is structured, clean and contextualized, the better the quality of the answers will be. We help you identify, clean and organize your data in order to maximize the performance of the model.

An LLM can be integrated via Secure APIs or directly in your business software. Example: in a CRM, it can suggest answers to customers; in an ERP, it can generate automatic reports; in an intranet, it can become a documentary research assistant.

Integration is designed to be almost invisible fluid for your teams, so that they benefit from added value without changing their work habits.

Yes. At Nubios, data security and confidentiality are integrated from the design of the project.
Each solution is custom built, according to your requirements of security, compliance, and privacy : local or cloud hosting, access control, data encryption and strict compliance with the RGPD.

We favor closed architectures and isolated models when the data is sensitive, so that your information remains under your total control.

The cost depends on the scope: a Chatbot can be relatively simple to set up, while a complete platform integrated with several tools will require a larger investment. The return on investment is fast thanks to Time saved, at the reduction of errors and at theimproved productivity.

Yes. The models can be updated regularly to remain efficient and reflect the evolution of your business data. You can start with a limited scope (e.g. customer support) and then expand to other services (marketing, HR, legal, technical). Generative AI is designed to evolve with your needs.

One MVP (Minimum Viable Product) can be set up in a few days or a few weeks, for example an internal assistant based on your FAQs. For more complex projects (multi-tool integration, advanced fine-tuning, process automation), deployment can last several months, with a gradual increase in load.