 
				
			 
				
			 
				
			 
				
			 
				
			 
				
			Galileo is a data intelligence platform designed to provide AI-driven observability and quality monitoring for LLMs and ML models. The platform detects anomalies, missing values, and data drift, ensuring high-quality datasets for model training and deployment. Galileo enables proactive management of data pipelines, reducing errors and improving reliability. Data scientists and AI engineers can monitor dataset health in real-time, detect issues early, and ensure model accuracy. The platform supports multiple industries, including finance, healthcare, and technology, where data quality is critical. Galileo provides actionable insights into dataset integrity, enhancing decision-making and model performance. Users can integrate it with existing ML workflows for seamless operations. The platform improves operational efficiency and reduces risks associated with poor data quality. Teams can visualize trends, monitor metrics, and maintain consistent data quality standards. Galileo helps organizations scale AI initiatives with reliable and trustworthy data. Overall, it enhances data observability, governance, and AI outcomes.
Key Features:
AI-driven data quality monitoring
Observability for LLMs and ML models
Detects anomalies, errors, and data drift
Provides actionable insights for datasets
Supports multiple industries and scalable operations
Industries:
Finance & Banking
Healthcare & Life Sciences
Technology & AI Research
Enterprise Data Management