Zegami

Zegami completed a project for a UK-based international botanic garden, where they utilized their unique machine learning solutions to accelerate the assessment of the conservation status of the world's flora. The project involved making the botanical garden's data accessible in an innovative and interactive format. The company's COO, Chief Technology Officer, and technical account manager were primarily involved in the project. The botanic garden is still in the process of building Zegami collections and unlocking its potential for their project needs.

In collaboration with Ultivue, a US-based biotech company, Zegami developed a machine learning and data visualization solution. The project aimed to exploit rich information in tissue images and interpret their scientific meaning. Zegami's algorithm was used to assess the quality of the tissues and explore the information in the images in a data-driven way. They implemented a prototype solution that combined unsupervised and supervised machine learning techniques with imaging. The proof of concept has been completed and the companies are discussing the next steps.

Zegami was hired by an IT and Software Solutions Company to provide HR analytics. The company chose Zegami for its unique ability to visualize data at all levels, including images of actual employees. The project involved using Zegami to measure performance, goal achievement, learning progress, and retention among other HR-related analytics. The company's CEO and COO were primarily involved in this project. The project was successful and has been utilized for HR analytics and in supporting the company's customers in the Department of Defense.