Get Analysis-Ready Data in Hours, Not Months
Cornerstone AI is an expert-guided, AI-powered platform that helps data teams transform raw clinical and real-world datasets into clean, standardized, analysis-ready outputs in a fraction of the time. With Cornerstone, every rule is explainable and auditable, providing downstream teams with results they can trust and verify.
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Smarter Rules, Cleaner Data
Cornerstone AI takes a new approach to data cleaning. Instead of pre-defining rules, our platform derives them directly from each dataset - learning the schema, identifying connections across sources, and harmonizing the structure.
The platform’s automated approach allows for the creation of more rules with better targeting. That approach allows your team to substantially increase data cleaning speed, retain more data, and remedy complex problems.
Faster Dataset Cleaning
Superior Standardization Coverage
Full Scalability Across Any Dataset
How It Works
Cornerstone AI takes in raw, real-world or trial datasets and runs them through various structuring, standardization, and error-detection algorithms to produce a clean, analysis-ready dataset.
You Bring the Raw Data
- Import raw data (or multiple datasets) into Cornerstone and sit back as our algorithms automatically learn, process, clean, and prepare results.
- Cornerstone AI has processed datasets for over 40 indications, including, Alzheimer's disease, [oncology indication], rheumatoid arthritis, [neurology indication] and beyond, spanning billions of datapoints.
- Deploy Cornerstone AI software on-premises into your cloud environment or use our hosted solution.
AI Structures, Standardizes, and Detects Errors
- After data import, algorithms scan the dataset to understand and contextualize the data structure, standardize raw text to dictionaries, and detect errors and anomalies in the data. High dimensional AI/ML models learn the patterns across the entire dataset allowing it to automatically generate unique clinically relevant cleaning rules for each dataset and patient population.
We Provide “Human-in-the-Loop” Review
- Surface issues in a user-friendly interface to alert Cornerstone's experts and/or your technical teams. From there, data scientists can quickly understand exactly what’s happening under the hood and provide remedies.
Data Exports with Full Auditability
- Export datasets with explainable rules, results, and a complete audit trail for all data transformations. Now, you’re ready for analysis.
What We Offer
01 The Problem
Automatic Structure Detection
Cornerstone AI algorithms intelligently parse through all of the fields in a dataset and determine relationships between fields. The platform then determines whether the field represents a date, a unit, a code that maps to a medical dictionary, or anything in between.
Multi-source Harmonization
Looking to take multiple data sources, combine them, and find answers in the compiled dataset? No problem! Cornerstone AI automatically compares the datasets and stacks them together so you don’t have to complete any manual mapping.
Quality Data Metrics
From the start, the application will provide a visualization of how good the data is across the entire dataset as well as within individual tables and records. In turn, this allows you to focus on the areas with the most issues, thereby saving time for the highest-value steps.
02 Data Cleaning
Error Identification & Correction
Your data is mostly correct; the problem is that issues are hidden across the hundreds or thousands of fields. To automate the identification of these issues, we model every data point to detect errors, surface issues, and make corrections. Common errors include unit mismatches (e.g., inches instead of centimeters), date swaps, biologically implausible data, or inconsistencies across fields.
Text & Code Standardization
We all know some of the most clinically impactful lies buried in unstandardized text. Our Standardization Module automatically scans every field and detects which would benefit from standardization. Cornerstone can standardize diagnoses (ICD-10, SNOMED), procedures (CPT), labs (LOINC), and much more.
Missing Data Imputation
If desired, missing data can be intelligently filled in using imputation methods specialized by data type. Accuracy metrics help you balance your need for completeness with the necessary precision. Plus, Cornerstone lets you easily toggle data exports with and without these imputations.
03 Data Integrity
HIPAA and SOC2 Compliant
Cornerstone AI focuses exclusively on healthcare data. We understand the stringent rules and regulations governing data security and strictly adhere to HIPAA and other data use agreements.
Full Audit Trail
Cornerstone tracks all actions by our algorithms and user specifications in a regulatory-grade audit trail. Detailed change logs with explanations are available for export at any time.
Cloud-Native, On-PremISES Deployments
Healthcare data is sensitive and highly proprietary. We understand the organizational rigor around Protected Healthcare Information (PHI). Though Cornerstone AI is a secure, cloud-first solution, we can also deploy in your own cloud environment if keeping data behind your firewall is required.
Proven Use Cases
Customers trust Cornerstone AI’s platform to accelerate clinical research and improve data quality across the following use cases:
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Clinical Trial Harmonization
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Lab Standardization
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Data Quality Assessments
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Automated Schema Conversion
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Clinical Endpoint Standardization
Get valuable insights out of your healthcare data more efficiently than ever.

