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Enhancing data quality with cutting-edge technology

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Healthcare

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Our technology delivers ROI – Return on Intelligence – on day one, so health plans can magnify the power of data to improve member experiences and deliver results

Applying AI to data quality is both unconventional and extremely challenging. Traditional machine learning models struggle in healthcare because they depend on and assume that any input data is clean and usable. Other data science based techniques to resolve data quality issues cannot scale to match the overwhelming amounts of data in healthcare. Our team of healthcare-focused technologists and doctors iterated for years and achieved an out-of-the-box solution that can rapidly solve complex data quality problems using a purpose built AI platform, informed by deep medical ontologies.

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Anomaly
Detection

Seamless Data
Ingestion

Extracting
Insights

Explore our technologies

An explainable AI approach to detect data errors

Health plans lose billions of dollars every year due to data errors. Inaccurate provider directories, incomplete clinical data, and incorrect claims data lead to a host of problems in healthcare, including surprise billing, impaired access to care for health plan members, and lower STAR/HEDIS ratings.