ArteraAI Tech Stack

AI-powered precision medicine platform for personalized cancer treatment

Hospitals and Health Care Los Altos, California 51–200 employees Privately Held

ArteraAI builds AI biomarkers for localized prostate cancer prognosis and treatment personalization, grounded in five Phase III randomized trials. The tech stack reveals a production-heavy ML infrastructure play: Flyte, Kubeflow, Ray, MLflow, and Dagster orchestrate PyTorch and TensorFlow models at scale, while ONNX Runtime and TorchScript handle inference optimization — a signal the company is moving beyond research into high-volume clinical deployment. Hiring is sales-front (10 open roles) but anchored by engineering and clinical validation efforts, suggesting a transition from validation to market adoption.

Tech Stack 29 technologies

Core StackKubeflow MLflow Dagster Prefect PyTorch TensorFlow AWS Docker Kubernetes Terraform Salesforce Apex Python Flyte Ray Metaflow Argo Workflows JAX SQLAlchemy TorchScript ONNX Runtime DeepSpeed AWS Neuron tidyverse GCP Azure Lightning Web Components Salesforce DX DINOv2

What ArteraAI Is Building

◆Challenges

Identifying new opportunities for product adoption
Scaling inference volume
Optimizing gpu cpu efficiency
Serving terabytes of digital pathology data
Identifying unmet clinical needs
Building high-quality data pipeline
Ensuring payer adoption
Scalable reproducible statistical workflows
Large-scale clinical data compute optimization
Auditability compliance for statistical pipelines

▲Active Projects

Ai platform roadmap
Distributed training infrastructure
Core libraries for ai products
Clinical data pipeline development
Clinical evidence generation
Clinical studies for product validation
R-based analytical environments for clinical research
Productionizing statistical methods pipelines
Ai-driven billing pipeline
Automated billing workflows in salesforce

Hiring Activity

Accelerating15 roles · 10 in 30d

Department

Sales

Engineering

Healthcare

Seniority

Senior

C-Level

Mid

Notable leadership hires: Chief Medical Officer

Company intelligence

Find more companies like ArteraAI by tech stack, pain points and active projects

Get started free

About ArteraAI

ArteraAI develops AI-enabled diagnostic tests to personalize therapy for cancer patients, with initial focus on localized prostate cancer. The company built its biomarkers through five Phase III randomized trials, positioning the product as clinically validated rather than algorithmic. The platform layer spans distributed training infrastructure, clinical data pipelines, and reproducible statistical workflows — essential for both FDA-grade evidence generation and operational scaling. Revenue motion runs through payer and provider adoption, with active work on billing pipeline automation and Salesforce integration.

HeadquartersLos Altos, California

Company Size51–200 employees

Hiring MarketsUnited States

Frequently Asked Questions

What machine learning frameworks does ArteraAI use?

PyTorch and TensorFlow for model training, ONNX Runtime and TorchScript for inference optimization, and JAX for numerical computing. Orchestration spans Flyte, Kubeflow, MLflow, and Dagster.

What is ArteraAI working on?

Distributed training infrastructure, clinical data pipelines, evidence generation for clinical studies, R-based analytical environments for researchers, statistical methods productionization, and AI-driven billing workflows in Salesforce.

How this profile is built

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 →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.