train and fine-tune LLMs and other AI models, as well as optimizing data used during inference and RAG. Granica makes tabular and NLP training data more efficient by optimizing the compression of cloud data lakehouse files such as Apache Parquet to lower storage cost by up to 60% and improve query performance by up to 56%. Granica delivers privacy and safety for AI inputs and outputs, mitigating the risk of sensitive data leakage and harmful content while also improving AI accuracy, performance and fairness. Granica also makes AI more effective by curating and refining training data sets, selecting the most impactful samples for training in order to increase model performance.

By making data AI-ready, model-powered applications deliver more accurate and more useful results, increasing the trust in AI. Granica is optimized for enterprises and technology companies in data and AI-intensive industries such as financial services, retail and ecommerce, geo-spatial intelligence, and autonomous vehicles.