ArteraAI builds AI biomarker tests that guide treatment choices in oncology, starting with localized prostate cancer. Its stack pairs a deep ML orchestration layer (PyTorch, JAX, Ray, Kubeflow, Flyte, DeepSpeed, DINOv2) with a heavily customized Salesforce build (Apex, LWC, Salesforce DX). Sales-led hiring plus a CMO search and billing-automation projects point to a commercial push focused on reimbursement, payer adoption and expansion into breast cancer diagnostics.
Notable leadership hires: Chief Medical Officer, Scientific Director, Sales Director
ArteraAI is a privately held precision medicine company headquartered in Los Altos, California, with 51–200 employees. It develops AI-based tests that estimate patient outcomes and help personalize therapy for cancer patients, with its initial focus on localized prostate cancer. Its biomarkers were developed using data from Phase III randomized trials. The company sells to clinicians and works with payers and distributor partners on adoption. It hires in the United States and Bulgaria across sales, engineering, research and clinical functions.
ArteraAI uses Python, PyTorch, TensorFlow, JAX, Ray, Kubeflow, Flyte, MLflow and Dagster for ML, runs on AWS with Docker, Kubernetes and Terraform, and builds on Salesforce with Apex and Lightning Web Components.
Yes, hiring is steady and sales-led, with additional engineering, research and healthcare roles. Leadership openings include Chief Medical Officer, Scientific Director and Sales Director, in the United States and Bulgaria.
Current projects include clinical evidence generation, an AI-driven billing pipeline, automated billing workflows in Salesforce, AI model validation, clinical data pipelines and an evidence strategy for breast cancer diagnostics.
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ArteraAI'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 →
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