Baseline AIIntelligent error checks for clinical trial data

Baseline AI: Catch Hidden Issues in Your Trial Data Now

Maintain high-quality data throughout your trial

Key Features

• Cross-Domain Consistency: Ensure related data across different domains are consistent.
• Protocol Deviations: Identify deviations from expected protocols.
• Outlier Checks: Detect and flag outlier data points.
• Date Logic Checks: Verify the logical sequence of dates.
• Missing Values: Identify and address missing data entries.
• Duplicate Entries: Detect and manage duplicate records.

Use Cases

• Clinical Trials: Maintain data integrity throughout the trial process.
• Pharmaceutical Research: Ensure high-quality data for accurate research outcomes.
• Medical Studies: Identify and correct data issues early to avoid costly delays.
• Regulatory Compliance: Meet stringent data quality standards required by regulatory bodies.

Pricing

Contact us for a customized pricing plan tailored to your specific needs. Our flexible pricing ensures you only pay for what you need.

Teams

Our team comprises experts from top institutions and companies:

• Zoe Sheill: MIT '24, Computation and Cognition, with experience at SpaceX and Microsoft.
• Nabil Baugher: MIT '24, Computation and Cognition, with experience at Google and Slack.

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