AI-powered computer vision platform for hospital operations and virtual care
Artisight builds a Smart Hospital Platform using computer vision and multi-sensor networks to extract operational data from clinical environments. The tech stack is infrastructure-heavy—GPU-accelerated (NVIDIA), containerized (Kubernetes + Docker), and cloud-native (AWS/GCP/Azure)—with deep EHR integration (Epic, Cerner, HL7, FHIR). Hiring is engineering-focused and senior-heavy, concentrated on platform optimization, observability, and SRE infrastructure, indicating a shift from implementation-led growth toward operational maturity and scaling.
Artisight operates a Smart Hospital Platform that uses computer vision and sensor networks to monitor and optimize clinical workflows in real-time. The product integrates with major hospital EHR systems (Epic, Cerner) and addresses three operational problems: virtual care delivery, quality improvement, and care coordination. The company sells to hospital systems and health networks. Current priorities span platform stability, reducing implementation complexity for new deployments, and building internal infrastructure (observability, SRE tooling) to support at-scale customer operations. Active projects include go-live support, self-service expansion, and next-generation observability.
Artisight uses NVIDIA GPUs, Kubernetes, Docker, AWS/GCP/Azure, Python, C++, Rust, PostgreSQL, Datadog, Splunk, Prometheus, and integrates with Epic, Cerner, and HL7/FHIR standards for hospital systems.
Artisight integrates with Epic Systems and Cerner, the two largest hospital EHR platforms, using HL7 and FHIR standards for data exchange.
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.