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.

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.

How a custom MLOps platform enabled a pharma company to train, deploy, and monitor hundreds of ML models- without rebuilding their existing infrastructure.

Replacing manual chart review with NLP-driven entity extraction- cutting operational costs and accelerating insights from unstructured medical records.

Aggregating years of siloed interaction data into a single AI hub- unlocking sentiment, trends, and faster action while saving $1M annually.