AI-driven patient engagement platform for hospitals and health systems
Get Well operates a cloud-native patient engagement platform serving over 1,000 hospital and clinical sites. The tech stack — AWS, Azure, GCP, Kubernetes, Kafka, Databricks, Snowflake, and emerging GenAI tools (LangChain, Azure ML) — reflects a shift toward real-time, AI-enabled clinical workflows. Active projects center on conversational AI, precision engagement, and FHIR/HL7 interoperability, while pain points around HIPAA compliance and high-scale distributed systems signal a mature engineering org building regulated, production-grade systems at clinical scale.
Notable leadership hires: Chief Revenue Officer
Get Well is a digital patient engagement company that works with hospitals and health systems to improve patient activation, adherence, and outcomes while reducing care delivery costs. Now part of SAIGroup, the platform combines AI-driven navigation with care workflows across inpatient, ambulatory, and post-discharge settings. The company serves approximately 10 million patients annually across its partner network. Core competencies span patient education, satisfaction tracking, cross-continuum care coordination, and telehealth integration, supported by longitudinal patient data analytics. Engineering and product hiring remain steady, with active development focused on AI-powered clinical decision support and scalable infrastructure for regulated healthcare environments.
Get Well uses AWS, Azure, GCP, Kubernetes, Kafka, Databricks, Snowflake, Apache Airflow, dbt, and LangChain. The multi-cloud approach reflects healthcare's deployment diversity; Kafka and real-time monitoring (Prometheus, Datadog) support clinical responsiveness.
Core projects include conversational AI workflows, AI-powered precision engagement, FHIR/HL7 API integration, clinical decision support research, and scalable CI/CD for ML models. Work is driven by the need to reduce care costs and improve real-time system visibility in regulated environments.
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