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AI enabled image analysis platform for scientific & medical imaging

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Why Zegami?

Zegami is unique because it easily works with both structured & unstructured data, from multiple sources: from images to documents and APIs to video. Based on Oxford University research, Zegami is being used by academics, researchers and commercial leaders across the world:
Researchers, scientists and engineers: The Plant Accelerator project at the University of Adelaide solves food supply issues in large automated greenhouses in Europe, Australia and the US, by giving researchers the ability to view thousands of images all at once on a screen, enabling them to spot patterns or anomalies in physiological and chemical traits.

Data scientists training machine learning models: Cancer Research UK funded project, developing a cancer detection system which identifies cancerous lesions in real-time by highlighting them on the video as the patient is being examined.
Data integration across silos: Companies such as Siemens, Honeywell and numerous other firms use Zegami to extract insights and answer questions from disparate data sources. This makes the process of data management and data cleaning faster, more efficient and gives them a competitive advantage.

The Zegami Solution for your Industry

Medical

Scientific

Machine Learning Data Curation

AI Lifecycle Management

Latest demo collections

DICOM Mammograms

This mammogram dataset consists of 3486 DICOM (Digital Imaging and Communications in Medicine) images. It contains normal, benign, and malignant cases with verified pathology information.

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The Muscle Atlas

The Muscle Atlas created for the Institure of Myology, Sorbonne University, contains over a thousand of muscle biopsy images from people of different ages as well as animals.

Demo Introduction

COVID-19

COVID-19 lung X-ray insights. Cutting edge AI and visualisation technology can speed up efforts by researchers to develop new tools for diagnosis.

Demo Introduction

Cancer Diagnosis

Oesophageal cancer video frames to find cancer lesions to train the machine learning model.

Demo Introduction

Our Clients

“Using Zegami has delivered significant cost savings to APPF . Because of the nature of the experiments, problems with the apparatus can render several days’ of results unusable. With Zegami, a variety of subtle problems can be quickly identified and timely interventions made to correct them.”

APPF Australian Phenomics Facility

George Sainsbury

Data Architect and Software Engineer

“Without zegami I wouldn’t be able to feasibly accomplish my project in a reasonable amount of time. It just allows me to go through large amount of information in batches rather than individually and it is a complete game changer.”

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Lance Hentges

Researcher

Our Partners

Latest News & Events

SDK blog
Zegami SDK

Zegami is a great tool for managing, sharing and getting insights from your data in an intuitive way that can

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Multiple Image source
Feature Preview: Multiple Image Sources

We’re currently working on a new capability for Zegami which adds a new dimension to image analysis, and we’re really excited to be able

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Image only collections

We’ve added the ability to create Zegami collections with only images. It’s never been easier to create a Zegami collection and should take only minutes to start gaining insights into a set of image files.

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Let’s Talk

We’d love to understand the nature of your business or application, what data you have (both structured and unstructured), and help you visualise what’s possible with it.

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