Computer vision and sensor platform for smart hospitals and virtual nursing
Artisight builds a hospital-deployed computer vision platform for virtual care and nursing workflows, running on NVIDIA GPUs with C++ and Rust alongside Python. Deep EHR plumbing (Epic, Cerner, HL7, FHIR, Mirth Connect) shows the product lives inside clinical systems. Accelerating hiring, a new Information Security Director role and projects like incident response and AI governance point to a security and compliance buildout as deployments scale.
Notable leadership hires: Information Security Director
Artisight is a privately held healthcare technology company headquartered in Chicago, Illinois, with 51–200 employees. It offers a smart hospital platform combining computer vision and a multi-sensor network to support virtual care, virtual nursing, quality improvement and care coordination. Its customers are hospitals and health systems, and the platform integrates with clinical record systems such as Epic and Cerner. Infrastructure spans AWS, Azure and GCP, with Kubernetes, Docker and Terraform used for deployment. Hiring is concentrated in the United States.
Artisight uses NVIDIA GPUs, Python, C++, Rust, Kubernetes, Docker, Terraform and Ansible across AWS, Azure and GCP, with PostgreSQL, Elasticsearch, Datadog, Grafana and Splunk for data and monitoring.
Its stack includes Epic Systems, Cerner, HL7, FHIR and Mirth Connect, indicating integration with hospital EHR systems through standard healthcare interoperability protocols.
Yes, hiring is accelerating, led by engineering, with roles in security, operations and logistics in the United States, including an Information Security Director position.
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Artisight'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.