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Oncoustics Tech Stack

AI-powered ultrasound diagnostics for point-of-care clinical deployment

Medical Equipment Manufacturing Toronto, Ontario 11–50 employees Privately Held

Oncoustics builds AI-augmented ultrasound systems for early detection and monitoring in clinical settings. The stack—Python, TensorFlow, PyTorch, Kafka, Kubernetes across AWS/GCP/Azure—reflects a research-forward org scaling ML models into production. Heavy hiring in research (7 roles) paired with deep-learning and signal-processing projects signals a company moving from algorithm development toward regulatory clearance and clinical deployment; the pain-point list (FDA clearance, model deployment, ML pipeline friction) confirms they're at the bridge between lab and field.

Tech Stack 39 technologies

Core StackSwift Java Node.js AWS Kubernetes Kafka MongoDB MySQL PHP React Python scikit-learn TensorFlow PyTorch pandas Pandas Jira C# C++ Kotlin GCP Azure CI/CD Keras Scrum Android NDK Android Microsoft Office Excel Word+9 more

What Oncoustics Is Building

◆Challenges

Expanding clinical study footprint
Managing data libraries in healthcare
Coordinating projects across global teams
Migrating legacy sdk to android
Improving ml development pipeline
Efficiently run experiments
Model deployment

▲Active Projects

Deep learning model deployment
Ultrasound signal data mining
Backend and mobile software for clinical solutions
Ml deployment for ai solutions
Cloud-based commercial solution deployment
Clinical site data collection protocols
Software updates for data collection flow
Ultrasound image quality monitoring
Fda clearance of ai/ml algorithms
Model deployment in future apps

Hiring Activity

Minimal10 roles · 0 in 30d

Department

Research

7

Data

2

Engineering

1

Ops

1

Seniority

Senior

7

Junior

1

Lead

1

Manager

1

Mid

1

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About Oncoustics

Oncoustics develops portable ultrasound systems enhanced with AI for preventive care and early clinical intervention. The company operates across three core tracks: deep-learning model research and training (scikit-learn, TensorFlow, PyTorch), backend and mobile software delivery (Node.js, React, Kotlin, Android), and cloud-based clinical deployment infrastructure (Kubernetes, Kafka on AWS/GCP/Azure). Based in Toronto with a 11–50-person team, the org is research-heavy and hiring only in Canada; active projects span ultrasound signal analysis, image-quality monitoring, and FDA-pathway work for AI/ML algorithms.

HeadquartersToronto, Ontario

Company Size11–50 employees

Hiring MarketsCanada

Frequently Asked Questions

What is Oncoustics building?

Oncoustics is deploying AI-enhanced ultrasound diagnostics for clinical sites. Current projects include deep-learning model deployment, ultrasound signal data mining, ultrasound image-quality monitoring, and FDA clearance workflows for AI/ML algorithms.

What tech stack does Oncoustics use?

Core stack: Python, TensorFlow, PyTorch, Kafka, Kubernetes, Node.js, React, Kotlin, Android. Infrastructure: AWS, GCP, Azure. Also using MongoDB, MySQL, scikit-learn, Keras, pandas. Development tools: Jira, CI/CD.