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Automating preventive care pathways with AWS- improving patient engagement, risk stratification, and operational efficiency across a leading diagnostic network.
How predictive models helped frontline providers identify which patients need outreach- and how to intervene to improve adherence and outcomes.
Identifying who responds to treatment using ML- driving better outcomes, payer partnerships, and published evidence in digital therapeutics.
A HIPAA-compliant mobile app that enabled remote CPAP sizing and intake- processing thousands of patients safely when in-person care wasn’t an option.
Predicting post-discharge care needs using years of hospital data- helping providers reduce readmissions and allocate resources more effectively.
An AWS-powered platform combining AI insights and expert coaching to deliver personalized weight loss, drive engagement, and scale securely.
Digitizing nutrition data for a nonprofit fighting child malnutrition- enabling faster reporting, offline operations, and greater transparency for donors.
Using early trial data and machine learning to predict Phase 3 outcomes- helping pharma teams advance the right drug candidates with confidence.
How AI cut weeks of PK/PD analysis into days, enabling faster dose optimization, scalable experimentation, and reduced reliance on specialized pharmacology expertise.
Using time-series clinical data and Neural ODE models to predict patient outcomes, helping life sciences teams improve biomarker discovery and clinical decisions.
How a generative AI platform transformed scattered text data into real-time intelligence- driving smarter HCP engagement, faster decisions, and over $1M in cost savings.
An AI scheduling platform that slashed manual work by 90%, uncovered millions in savings, and boosted EBITDA for a fast-growing home care provider.
How a custom MLOps platform enabled a pharma company to train, deploy, and monitor hundreds of ML models- without rebuilding their existing infrastructure.
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