Data Quality Assessment

Source-agnostic, automated data quality assessment and improvement

Data quality is a hidden tax on life sciences research. Traditional manual QC is a cumbersome bottleneck that delays tactical insights, all while introducing regulatory risk. Cornerstone AI replaces manual, service-heavy workflows with a self-learning engine that helps researchers characterize and improve data quality across real-world and clinical datasets.

The Challenge

Scaling

Teams spend months adapting QC pipelines for new datasets and/or generating one-off quality reports. Traditional one-size-fits-all approaches fail at scale.

Complexity

Real-world datasets (RWD) are large and heterogeneous. Study requirements vary. Electronic Heath Record (EHR) data quality differs by site.

Transparency

Every transformation, human or machine-driven, must be logged, tracked, and auditable - particularly for regulatory applications.

High Variable Cost

Creating manual data quality queries for every new data stream is unsustainable as data volume grows.

Our Product

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Cornerstone AI provides an end-to-end data quality evaluation & management tool

  • Cut time spent on manual data queries for each data stream
  • Gain complete visibility into the data QC process
  • Increase data quality with standardization, imputation, and anomaly detection modules
  • Apply a unified, objective, auditable methodology across datasets

Data Profiling - Characterize Data Quality

  • Automatic structure detection
  • Multi-source data harmonization
  • Data quality scores

Cornerstone’s algorithms map and understand the semantic contents of each dataset to infer relationships and produce data quality readiness scores. Beyond high-level summaries, your analysts can drill into specific quality findings at the patient-, table-, field-, and record-level, turning months of exploration into days of efficient research.

Data Profiling - Characterize Data Quality

  • Text & code standardization
  • Missing data imputation
  • Error detection

Move beyond flagging errors to actively fixing them. Our intelligent data cleaning engine standardizes values, imputes missing data, and flags anomalies for human reviewers to help accelerate research and power high-quality studies. Every transformation is backed by a fully transparent audit trail, ensuring readiness for regulatory scrutiny.

Our Product

01 Quality Evaluation
02 Data Profiling
03 Intelligent Data Cleaning

End-to-end Data Quality Evaluation and Monitoring

  • Reduce time spent on manual data queries for each data stream
  • Gain complete visibility into the data QC process
  • Apply a unified, objective, auditable methodology across datasets

Characterize Data Quality

  • Automatic structure detection
  • Multi-source data harmonization
  • Objective, deep data quality scoring

Cornerstone’s algorithms map and understand the semantic contents of each dataset to infer relationships and produce data quality readiness scores. Beyond high-level summaries, your analysts can drill into specific quality findings at the patient-, table-, field-, and record-level, turning months of exploration into hours of efficient research.

Process — build the system · 1.5s

Improve Data Quality

  • Text & code standardization
  • Missing data imputation
  • Error detection

Move beyond flagging errors to actively fixing them. Our intelligent data cleaning engine standardizes values, imputes missing data, and flags anomalies for human reviewers to help accelerate research and power high-quality studies. Every transformation is backed by a fully transparent audit trail, ensuring readiness for regulatory scrutiny.

Our Product

01 Quality Evaluation

End-to-end Data Quality Evaluation and Monitoring

  • Cut time spent on manual data queries for each data stream
  • Gain complete visibility into the data QC process
  • Increase data quality with standardization, imputation, and anomaly detection modules
  • Apply a unified, objective, auditable methodology across datasets
Process — build the system · 1.5s

02 Data Profiling

Characterize Data Quality

  • Automatic structure detection
  • Multi-source data harmonization
  • Data quality scores

Cornerstone’s algorithms map and understand the semantic contents of each dataset to infer relationships and produce data quality readiness scores. Beyond high-level summaries, your analysts can drill into specific quality findings at the patient-, table-, field-, and record-level, turning months of exploration into days of efficient research.

03 Intelligent Data Cleaning

Improve Data Quality

  • Text & code standardization
  • Missing data imputation
  • Error detection

Move beyond flagging errors to actively fixing them. Our intelligent data cleaning engine standardizes values, imputes missing data, and flags anomalies for human reviewers to help accelerate research and power high-quality studies. Every transformation is backed by a fully transparent audit trail, ensuring readiness for regulatory scrutiny.

Example Use Cases

Third-party, objective quality assessments
Data quality management for ongoing observational research
Central quality assessment platform for licensed RWD

High touch services
High velocity software

Category
Previous Vendor
Cornerstone AI
Pricing Model
Billable model (Hours X Rate)
Software license
Speed
Slow: 12 weeks / dataset
Rapid: 1–3 days / dataset
Output
Static spreadsheet
Dynamic results in user interface
Coverage
Shallow: results limited to set variables
Comprehensive: results for all variables in dataset
Cost
~$5M annual cost
~$1M annual cost
Workflow
Seperate, ad hoc evaluation process per dataset
Consistent and unified evaluation framework

Pricing Model

Previous Vendor

Billable model (Hours X Rate)

Cornerstone AI

Software license

Speed

Previous Vendor

Slow: 12 weeks / dataset

Cornerstone AI

Rapid: 1–3 days / dataset

Output Format

Previous Vendor

Static spreadsheet

Cornerstone AI

Dynamic results in user interface

Coverage

Previous Vendor

Shallow: results limited to set variables

Cornerstone AI

Comprehensive: results for all variables in dataset

Annual Cost

Previous Vendor

~$5M annual cost

Cornerstone AI

~$1M annual cost

Evaluation

Previous Vendor

Seperate, ad hoc evaluation process per dataset

Cornerstone AI

Consistent and unified evaluation framework

Assess  data quality and make traceable quality improvements faster than ever

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