As of May 2026, there are 8 SaaS companies in Medical Lab Software. They have combined revenues of $48.7M and employ 309 people. They have raised $27M and serve - customers combined.
Medical Lab Software encompasses various applications designed to facilitate the management of laboratory processes, enhancing efficiency, accuracy, and compliance within medical laboratories. These software solutions are typically used for laboratory information management, data tracking, processing, and reporting of test results. They streamline workflows, ensure proper documentation of samples, and support regulatory compliance in a range of medical testing environments. Key functionalities of medical lab software include sample tracking, real-time data analysis, inventory management, and integration with other medical systems such as electronic health records (EHRs). These tools are employed by laboratory managers, technologists, and healthcare administrators aiming to optimize laboratory performance and deliver timely, accurate patient results while maintaining stringent quality standards. Common use cases involve test result management, quality control processes, and regulatory compliance monitoring. The buyer personas typically include lab managers, clinical coordinators, and IT professionals responsible for system implementation and maintenance, all of whom play crucial roles in the selection and management of lab software solutions.
Sorting: Highest -> Lowest
Showing 10 of 2 companies ranked by annual revenue.
Lisburn, Northern Ireland, United Kingdom
Cirdan is a leading provider of informatics software and imaging solutions that enhance and speed up the diagnosis of patients. It is focused on healthcare informatics and imaging technology.
Orem, Utah, United States
Techcyte is the world's leading clinical pathology and diagnostics platform with solutions for human, veterinary and environmental labs
- Must provide laboratory information management capabilities. - Must support sample tracking and status updates throughout the testing process. - Must integrate with electronic health records and other healthcare systems. - Must facilitate accurate reporting and data analytics features. - Must ensure compliance with industry regulations and quality control standards. - Not just for data entry; must also automate workflows and optimize lab operations.
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