Cornerstone AI

Cornerstone AI is a purpose-built AI assistant designed to clean and prepare healthcare real-world data (RWD) up to five times faster than traditional methods. Its proprietary machine learning models automatically identify data issues within each dataset and generate unique, clinically relevant data cleaning rules — requiring no manual configuration, fixed SQL rules, or predefined transformations. Cornerstone serves data science teams at pharmaceutical companies, medical device manufacturers, and other healthcare organizations that rely on real-world data to understand patient populations and generate clinical insights.

Healthcare datasets are frequently riddled with errors, inconsistencies, and missing values, forcing data science teams to spend months on manual data preparation before any meaningful analysis can begin. Traditional rule-based cleaning processes do not scale with the rapid growth of healthcare data, and time constraints often mean only the most critical variables are cleaned — leaving a long tail of unusable data. Cornerstone AI addresses these challenges by automating the entire data cleaning lifecycle, enabling teams to unlock the full potential of their RWD for AI and machine learning applications.

Core Platform Modules

• Data Profiling: Cornerstone automatically detects table structure, data types, and field relationships as soon as a dataset is imported and a patient ID is specified. This includes automatic structure detection, multi-source harmonization to reconcile data from different origins, and the generation of a data quality score to benchmark dataset health.
• Data Cleaning: The platform's AI-driven algorithms build models for every table, field, and individual data point to identify outliers and flag errors without relying on manual transformations. Capabilities include error identification and correction, text and code standardization, and missing data imputation to fill gaps in the dataset.
• Data Integrity: Cornerstone maintains HIPAA compliance throughout the cleaning process and provides a full audit trail that logs every change made to the dataset in an exportable format. Cleaned datasets can be easily exported for downstream modeling and analysis.

Key Differentiating Capabilities

• Automatic data structure profiling: Users simply import dataset files and specify a patient ID; Cornerstone handles the detection of table structure, data types, and field relationships automatically with no manual setup required.
• AI-driven error detection: Rather than applying fixed rules, the system develops unique models for every table, field, and data point to identify outliers and flag errors, making it immediately ready for any novel dataset out of the box.
• Data standardization and augmentation: Cornerstone standardizes data to industry-standard clinical dictionaries such as ICD-10-CM and CPT, imputes lab units, and augments medical terminology with hierarchical information to enable deeper analytical insights.
• Full audit trail and flexible data export: Every modification to the dataset is tracked in an exportable audit log, and cleaned data can be readily exported for use in modeling and analysis workflows.

Deployment and Compliance

• Cornerstone AI is available both as an on-premises deployment and as a Cornerstone-hosted (cloud) solution, giving organizations flexibility based on their data governance and security requirements.
• The platform is built with HIPAA compliance as a foundational feature, ensuring that sensitive patient data is handled appropriately throughout the cleaning and preparation process.

Customer Validation

• A Director of Immunology Data Science at a large pharmaceutical company noted that Cornerstone "would have saved us weeks and weeks of time."
• A Manager of Clinical Engineering at a medical device company highlighted that Cornerstone was able to reveal the level of confidence in different sets of data, describing it as "an amazing product that adds value and truth."
• A Director of Real World Data Strategy at a large pharma company praised the platform's transparent, statistics-driven approach to what can appear to be complex automation.
• In a documented project with a healthcare company, Cornerstone significantly improved the quality of a real-world dataset, producing tangible results and enhanced data usability.

By combining self-learning AI with clinical domain knowledge and robust data integrity features, Cornerstone AI enables healthcare data science teams to move from raw, messy real-world data to clean, analysis-ready datasets in a fraction of the time previously required — removing data preparation as the rate-limiting step in healthcare analytics.