AI-powered health engagement and analytics for healthcare organizations
mPulse operates a health experience platform serving over 450 healthcare organizations through AI analytics, omnichannel messaging, and digital navigation. The tech stack reflects a data-intensive operation—Snowflake, dbt, Apache Airflow, Tableau—now actively migrating off SQL Server and adopting Terraform. Project work centers on scaling data pipelines for high-volume healthcare ingestion and modernizing infrastructure, with concurrent hiring across engineering, manufacturing, and data roles signaling simultaneous product expansion and operational scaling.
mPulse is a health experience and insights company built for healthcare organizations seeking to personalize patient engagement at scale. The platform processes over 4 billion consumer-related transactions annually and is HIPAA compliant, combining AI-powered analytics with omnichannel outreach and digital health navigation. The company operates across data engineering, product, and manufacturing functions, with active infrastructure modernization projects focused on moving from legacy SQL Server workloads to cloud-native Snowflake architecture while improving deployment pipelines and reducing manual operational overhead.
Salesforce, Slack, Jira, Python, Java, Snowflake, dbt, Apache Airflow, AWS, Tableau, and TestRail. Currently migrating off SQL Server and adopting Terraform for infrastructure-as-code.
Los Angeles, California. The company employs 501–1,000 people and is currently hiring in the United States.
mPulse's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.