Viz.ai deploys AI across clinical workflows in 2,000+ U.S. hospitals, integrating real-time multimodal data (PACS, HL7, FHIR) with Kubernetes-scale infrastructure (AWS, Temporal, RabbitMQ). The hiring mix is heavily weighted toward sales and support roles, with fewer engineers—reflecting a mature, deployed product in a land-and-expand sales motion. Active projects center on pharmaceutical partnership development and care pathway expansion in neurology and neurodegenerative disease, signaling a shift from pure hospital detection into biotech co-selling.
Notable leadership hires: Business Development Director, IDN Accounts Director
Viz.ai builds an AI care coordination platform that ingests multimodal clinical data (imaging, EHR, real-time signals) to detect disease and organize care team response. The product is deployed across 2,000 hospitals in the United States and integrated with leading life sciences companies. The tech stack reflects healthcare-scale demands: HL7/FHIR for interoperability, PACS for medical imaging, ELK + Prometheus for observability, and AWS-hosted orchestration via Kubernetes. The company operates as a high-velocity sales organization focused on health systems and large IDN accounts, with emerging pharmaceutical partnerships.
Core: FHIR, HL7, PACS, Python. Infrastructure: AWS, Kubernetes, Terraform, Helm. Data/observability: Elasticsearch, Logstash, Kibana, Prometheus, Grafana. Coordination: Temporal, RabbitMQ. CRM/BI: Salesforce, Tableau, Power BI, Looker.
San Francisco, CA. The company was founded in 2016 and employs 201–500 people.
Viz.ai'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.