Create solutions by applying Zegami to your image data
Scientists, researchers and academics today must consume and process vast quantities of data. Doing so efficiently and with accuracy is an increasing challenge. Furthermore, much of this data needs to be presented to others, both for external scrutiny e.g. regulators, and as part of public engagement.
Zegami provides a new way to visualise and work with data in a way that allows for efficient, systematic assessment and processing of data. The visual interface also provides an ideal medium for telling the story of the research through graphical representations of the data.
Researchers applying artificial intelligence to their visual and numerical data also use Zegami to prepare and tag their training data sets to increase the accuracy of their machine learning models.
The Zegami Solution for your Industry
AI Lifecycle Management
Over recent years there has been exponential growth in medical focussed AI Algorithms. However, there are significant barriers to adoption including inadequate frameworks to ensure privacy, security, quality and accuracy of AI.
Integrations with high resolution and complex image types such as DICOM has allowed Zegami to become a world leader in AI development in the Medical Research field.
ME / Gene Expression
CCRF / Cardio Vascular
In scientific research a huge amount of image data is being produced, whether it be from automated high throughput systems or from researchers manually taking photos.
Zegami enables the analysis, evaluation and curation of these data sets and enables rapid AI development driving innovation.
AI Lifecycle Management
AI is becoming increasingly critical to many business operations. However, 82% of data scientists time is spent on cleansing data and improving training data.
Zegami delivers more accurate and robust machine learning models faster by automating your data analysis with machine learning models specifically targeted to meet your needs.
ML Model Development & Validation
Diagnostic Tool Regulation
Covid 19 verification study
One of the most crucial developments in AI – and one which has enjoyed exponential growth recently – is its application for the advancement of medical research and predictive analytics. When applied to the analysis of large and complex data sets – for example databases comprising hundreds of thousands of medical images from multiple sources and locations – AI is a very useful assistive tool, supporting with triage and diagnoses that would otherwise require considerable time and expertise from highly experienced clinicians.Read More View All
Research at the Australian Plant Phenomics Facility is leading to the development of new and improved crops, healthier food andRead More View All