SAIA Institute, located in Cluj Napoca, Transylvania, Romania, is a nonprofit organization specializing in scientific research and development in artificial intelligence (AI). The company focuses on transforming complex health industry problems into data science challenges. Over the past 15 years, SAIA has developed a universal AI platform that creates highly accurate predictive models for diagnosing, predicting outcomes, and determining treatment responses from omics (genomic, proteomic, etc.) and imaging data.

SAIA's primary mission is to assist people with cancer by developing and commercializing non-invasive diagnostic and prognostic systems that boast an impressive 99% accuracy rate. These systems utilize AI to analyze data from 2D and 3D ultrasounds and molecular markers, providing early and precise detection of various cancers, including liver fibrosis and colorectal cancer. The organization also explores the use of microRNA as non-invasive biomarkers and aims to improve cancer treatment by correlating diagnosis and prognosis with the plasmatic levels of angiogenesis molecules related to VEGF (a protein that stimulates blood vessel formation).

The market SAIA operates in is the healthcare and biotechnology sector, specifically focusing on oncology (cancer treatment). Their clients include medical professionals, healthcare institutions, and research organizations looking for advanced diagnostic tools to improve patient outcomes.

SAIA's business model revolves around scientific research and the development of AI-driven healthcare solutions. As a nonprofit, their revenue is likely generated through grants, donations, partnerships, and possibly the commercialization of their diagnostic systems.

In summary, SAIA Institute leverages AI to revolutionize cancer diagnosis and prognosis, providing non-invasive, highly accurate solutions that enhance early detection and treatment efficiency.

Keywords: AI, cancer diagnosis, prognosis, non-invasive, healthcare, biotechnology, predictive models, omics data, imaging data, nonprofit.