UBIAI

UBIAI is a no-code platform for building and fine-tuning language models around a company's own documents and data. It is aimed at teams that need custom NLP without hiring specialized machine learning engineers, scaling from small research projects to enterprise document-processing pipelines. A core piece of the platform is data labeling: built-in AI suggests labels automatically, which the site says cuts the time needed to build a labeled dataset from weeks to hours. Once data is labeled, users can fine-tune large language models on that dataset directly in the platform, without writing training code. The AI Builder feature then handles deployment: a trained model, whether built on UBIAI or uploaded from elsewhere, can be published with one click and immediately exposed through an API endpoint for other systems to call. A drag-and-drop workflow builder lets users connect models like ChatGPT into custom pipelines for tasks such as entity extraction, synthetic data generation, and summarization, and the platform includes monitoring to track how a deployed model performs over time. UBIAI is positioned toward document-heavy use cases like contracts, research papers, and structured business records rather than general-purpose chat. Pricing and year founded are not stated on the pages reviewed.