ZayaAI develops a digital pathology platform that utilizes machine learning to analyze tissue and cell images, enabling pathologists to obtain rapid and accurate diagnostic assistance. This technology facilitates remote access and collaboration, improving diagnostic quality and reducing patient waiting times for second opinions.
Funding
$500K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Pathologists often face challenges in efficiently analyzing tissue and cell images, leading to potential delays in diagnosis and treatment. Traditional pathology workflows can be time-consuming, and access to expert opinions may be limited, especially in remote locations. This can impact diagnostic accuracy and increase patient waiting times.
Solution
ZayaAI offers a digital pathology platform that leverages machine learning to streamline image analysis and enhance diagnostic capabilities. The platform enables pathologists to rapidly and accurately analyze tissue and cell images, facilitating faster diagnoses and improved patient outcomes. ZayaAI's technology supports remote access and collaboration, allowing pathologists to easily share images and obtain second opinions regardless of location. By providing intelligent viewing and selection of areas with high densities of tumoral cells, ZayaAI helps pathologists focus on critical regions and improve diagnostic precision.
Target Audience
ZayaAI is designed for medical doctors in hospitals and researchers in pharmaceutical companies who require efficient and accurate pathology image analysis.
Features
- AI-powered image analysis for rapid and accurate diagnosis assistance
- Telepathology capabilities for remote access, second opinions, and collaboration
- Intelligent viewing and selection of areas with high density of tumoral cells
- Image analysis results displayed in different magnifications with x-y-z location movement
- All-in-one pathology LIS (Laboratory Information Management System) to streamline lab operations
- Diagnostic score data and heatmaps for enhanced pathology diagnosis