From general-purpose models to Istella’s proprietary LLMs, to the orchestration of multiple models, building sovereign, precise, and controlled AI.

Large language models have changed the way people and organizations access knowledge, but real value emerges when models are aligned with the context, data, and organizational goals.

Unparalleled language understanding and generation

At Istella, we are pioneers in the development of cutting-edge, large-scale language models with exceptional capabilities. Our approach is based on the combination of English documents and extensive, carefully selected Italian datasets, ensuring excellent model performance not only in handling tasks in English, but also in understanding and generating text in Italian, thus setting a new standard for language models.

Istella’s proprietary LLMs

Istella has developed proprietary LLMs designed to better understand language, content, and context, and to adapt to enterprise use cases with greater alignment to the organization’s real needs. Their strength lies not only in language generation, but in the ability to be tailored to specific domains, content, and processes — offering a more precise, useful, and coherent AI foundation for the intended application.

Unlike general-purpose models, the Istella family of LLMs is calibrated with a strong focus on the Italian language. This specialization improves accuracy, fluency, and contextual understanding, making these models particularly suitable for applications that require refined linguistic capabilities.

Another key strength of Istella lies in the data foundation on which its language models are built, drawing on vast datasets comprising over one trillion tokens. This enormous volume of data fuels the creation of models that combine effectiveness in English with high quality in Italian, paving the way for multilingual and vertical applications.

Different models, one platform

Not all organizations have the same needs, and not all use cases require the same model. For this reason, within the Istella AI Platform, we can integrate one or more proprietary or third-party models, orchestrating execution based on the domain, task, and client objectives.

Orchestration allows each model to be assigned the most appropriate role, selecting it based on performance, latency, cost, specialization, and compliance requirements. Routing, context management, reasoning workflows, secure deployment, and governance enable multiple models to be coordinated consistently, maintaining architectural control, response quality, and operational continuity.