Life Sciences
Healthcare
AI Acceleration
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Organizational Enablement
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AI Lab
BioCanvas
PrismAI
CareIQ
Using time-series clinical data and Neural ODE models to predict patient outcomes, helping life sciences teams improve biomarker discovery and clinical decisions.
An AI scheduling platform that slashed manual work by 90%, uncovered millions in savings, and boosted EBITDA for a fast-growing home care provider.
Automating preventive care pathways with AWS- improving patient engagement, risk stratification, and operational efficiency across a leading diagnostic network.
Bringing public and proprietary HCP data into one compliant platform- powering therapy-specific insights and laying the foundation for scalable AI initiatives.
How an AI platform delivered personalized engagement at massive scale- predicting adherence risk and guiding targeted interventions for millions of patients.
A patient-facing AI assistant that improved device adoption by answering questions naturally, surfacing trusted content, and revealing real-world care gaps.
Replacing manual chart review with NLP-driven entity extraction- cutting operational costs and accelerating insights from unstructured medical records.
Using early trial data and machine learning to predict Phase 3 outcomes- helping pharma teams advance the right drug candidates with confidence.
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.
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