What we do
General models do not know the language and data of your domain. We adapt open models to your work by fine-tuning them on your enterprise data, and when needed we train Turkish-first, domain-specific language models. The team that trained the MevzuatBot engine — fluent in Turkish legal language — applies the same method to your domain.
Our approach
First we assess your data and goal, because not every need requires fine-tuning. Often the best result comes from combining a retrieval layer (RAG) for current facts with fine-tuning for behavior. We explained this in our RAG vs fine-tuning article. We evaluate the training transparently and measure the outcome.
Use cases
- Domain-specific assistants and classifiers
- Matching an enterprise tone and format
- Turkish NLP tasks (summarization, labeling, extraction)
- Improving existing models on a narrow task
Why EcoFluxion?
Turkish AI and large language models are our core expertise. We have lived and solved the challenges of Turkish NLP in our own products, and we bring that experience straight to your project.