We work with you to adapt LLMs to your language, domain and business environment.
Our team uses materials you provide to adapt the model to your needs. We can also source and prepare suitable materials for your project, or combine both approaches. Your language, domain, intended use and licensing requirements determine the data strategy.
POLARIS selects the foundation model best suited to your project. Our team considers open-weight models from families such as Qwen, DeepSeek, Kimi, GLM, MiniMax, Llama, Mistral, Gemma, NVIDIA Nemotron and gpt-oss. We compare their performance in your language and domain. POLARIS also considers the available materials, licensing terms, the amount of context each model can process, hardware needs and operating costs.
Depending on your goals and the available evidence, POLARIS may use Low-Rank Adaptation (LoRA) or full-parameter fine-tuning. Our team may also use continued pre-training. Alignment training can help shape how the model responds. We can combine these methods to suit your project.
POLARIS runs benchmarks based on agreed tasks to measure your model’s performance before adaptation. We repeat these tests after each training stage to identify improvements, regressions and tradeoffs. Our team adds domain-expert review where needed.
Your materials, adaptation method and selected base model determine the computing resources needed for training. Our team can arrange suitable hardware in Serbia with Orion. We can also use other approved computing environments when needed.
We start with your requirements for performance, response time, capacity, integration and operating cost. Our team turns these into an operating plan and coordinates the infrastructure with Orion.
By default, POLARIS works with Orion to run your AI workloads on GPU and data center infrastructure in Serbia. With this setup, your data, model artifacts, backups, logs and operational metadata stay in Serbia.
We prepare your specialized model(s) for controlled inference so they can respond to requests in the agreed environment. Our team plans deployment and capacity around your model, expected workloads and approved system interfaces.
Your application can use the model’s inference endpoint alongside databases, APIs and other controlled live sources. Retrieval-augmented generation (RAG) lets the model use approved, current information from these sources in its responses without changing the model weights.
Sovereign infrastructure in Serbia is the default for your project. You can request other processing or deployment environments. For any alternative, we will obtain your explicit approval and document the conditions.
We start with your work, decisions and constraints. Our team identifies where a specialized model can help and where your team’s judgment is essential.
POLARIS builds custom applications to fit your work. We can use a ready-made model, a provider’s API, a specialized open-weight model or a combination of these components.
Your application can run as a standalone product or connect to approved data, interfaces and systems you already use. Our team designs it to meet your requirements for specialization, infrastructure and operations.
LexAndria is our product for legal professionals. It uses a large language model optimized for the Serbian language and further adapted to the Serbian legal domain. Processing takes place on GPU and data center infrastructure in Serbia.
Our default mode is to run your AI workloads on GPU and data center infrastructure in Serbia and operated by Orion.
In our default setup, all computation specific to you occurs in Serbia. Your data, model artifacts, backups, logs and operational metadata stay there too. Sovereignty here refers to where the system runs and stores its working data. Of course, we do source initial base models and related dependencies from other jurisdictions.
You can request other processing or deployment environments for your project. Our team will document the locations, dependencies and operating conditions and obtain your explicit approval before proceeding.
POLARIS adapts and operates language models to build applications around them. Our roots in Serbia and Europe give us a multilingual perspective on language and culture. We apply our expertise in frontier AI to your domain and business environment.
For example, our team fine-tuned an LLM model for the Serbian language and then adapted it further to Serbian law. A similar approach could suit your domain, depending on available materials, expertise, evaluation results and operating requirements.
We lead your project and work with Orion on infrastructure and operations where needed. LexAndria is our product for legal professionals and it demonstrates our approach in practice.
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