Cornerstone AI

What Cornerstone AI does

Cornerstone AI provides an expert-guided, AI-powered platform that transforms raw clinical and real-world datasets into clean, standardized, analysis-ready outputs. It addresses the messiness of healthcare data, such as differing schemas, unstandardized values, mixed or missing units, and missing standard coding, by using proprietary machine learning models to automatically generate clinically relevant data cleaning rules. The platform learns data structure and connections across sources, harmonizes them, and identifies and corrects errors. It aims to reduce data preparation timelines from months to hours, enabling faster insights and improved data quality for life science companies.

Key capabilities

• Automated data ingestion & schema detection
• Clinical content detection and pattern matching
• AI-powered standardization across industry ontologies
• Intelligent, pattern-based error detection
• Intuitive UI for human-in-the-loop review
• Proprietary library of data patterns and algorithms
• Automatic structure detection
• Multi-source harmonization
• Quality data metrics visualization
• Error identification & correction (e.g., unit mismatches, date swaps, biologically implausible data)
• Text & code standardization (e.g., ICD-10, SNOMED, CPT, LOINC)
• Missing data imputation
• Full audit trail with detailed change logs
• Cloud-native and on-premises deployment options

Use cases

• Clinical trial harmonization
• Lab data standardization
• Data quality assessments
• Schema conversion
• Clinical endpoint standardization
• Transforming raw clinical and real-world datasets into analysis-ready outputs
• Accelerating data preparation across data types
• Assessing the quality of data sources for scientific discovery and drug development

AI approach

Cornerstone AI uses proprietary machine learning models and expert-guided AI software to clean, standardize, and harmonize healthcare data. It automatically generates clinically relevant data cleaning rules, learns data structures, identifies and corrects errors, and standardizes data across industry ontologies. The platform leverages a proprietary library of data patterns and algorithms, trained on real-world data quality problems.

Tech named: proprietary machine learning models, expert-guided AI software, pattern detection technology, algorithms

Industries served

• Life Science
• Healthcare

What it says sets it apart

• Expert-guided AI software
• Proprietary machine learning models for generating unique clinically relevant data cleaning rules
• Learns structure and connections across data sources to harmonize them
• ML models identify and correct errors automatically or guided through UI
• Reduces data preparation timelines from months to hours
• Scalable across all data types with full auditability
• Seamless integration into existing tech stack and data workflows
• SOC 2 certified
• HIPAA compliant
• Proven data breadth (50+ indications, billions of datapoints)
• Flexible deployment (on-prem and CAI hosted)
• Fully auditable changes to data
• Continuous improvement cycle expanding proprietary pattern library
• Derives cleaning rules directly from each dataset instead of pre-defining them
• Automated approach creates more rules with better targeting
• Substantially increases data cleaning speed and retains more data
• Remedies complex problems
• Superior standardization coverage (90-95% vs 50-60% manual)
• Full scalability across any dataset
• Focuses exclusively on healthcare data and its regulations
• Regulatory-grade audit trail

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.