Sema4.ai utilizes advanced AI technologies to analyze genomic and health data, enabling healthcare providers to make informed decisions. The platform focuses on improving patient outcomes through personalized insights derived from complex datasets, ensuring that healthcare providers can tailor treatments based on individual patient needs. By integrating diverse data sources, Sema4.ai empowers healthcare professionals to deliver precise and efficient care.

Clinical Agent is designed to streamline clinical workflows by combining the power of retrieval-augmented generation and vector search. It ingests electronic medical record data, indexes documents using a vector database, and uses LLMs to answer clinical queries, generate discharge summaries, and create structured notes. Developers can customize prompts, integrate additional data sources, and extend modules. The framework supports modular pipelines for data ingestion, semantic search, question answering, and summarization, enabling hospitals and research teams to rapidly deploy AI-driven clinical assistants.