AI platform for oncology practice operations and patient engagement
Canopy operates a healthcare AI platform purpose-built for oncology practices, handling patient triage, care coordination, and call-center operations. The tech stack reveals a mature, infrastructure-first engineering posture: multi-cloud (GCP + AWS), containerized (Kubernetes), with comprehensive observability (New Relic, Datadog, Prometheus, Grafana) and GitOps-driven deployment (ArgoCD, Terraform). Active projects center on monitoring, CI/CD maturity, and patient engagement features—typical signals of a company scaling from founder-led product to repeatable operational infrastructure.
Canopy provides AI-native software for oncology practices to manage all out-of-visit care—triage routing, call-center automation, patient engagement, referrals, and reimbursement capture. The platform serves a network of more than 2,000 oncology providers across the United States. The company operates from Palo Alto and was founded in 2017. Current hiring is minimal and senior-weighted (mostly design and engineering leads), indicating a product-stable, infrastructure-focused phase rather than rapid team expansion.
Canopy runs on both GCP and AWS, with infrastructure-as-code tooling (Terraform, CloudFormation, Pulumi) and containerized deployment via Kubernetes and ArgoCD.
Figma (design), GCP/AWS (compute), Kubernetes (orchestration), GitHub Actions + ArgoCD (CI/CD), New Relic + Datadog + Prometheus (monitoring), and Elasticsearch (search/logs).
Canopy supports a network of more than 2,000 oncology providers nationwide across its patient engagement and care management platform.
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