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.

Predicting post-discharge care needs using years of hospital data- helping providers reduce readmissions and allocate resources more effectively.

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.

Identifying who responds to treatment using ML- driving better outcomes, payer partnerships, and published evidence in digital therapeutics.

How predictive models helped frontline providers identify which patients need outreach- and how to intervene to improve adherence and outcomes.