Elation Health is the leading platform for primary care, empowering 32,000 clinicians to deliver personalized care to over 16 million patients. With a clinical-first EHR, integrated billing, and AI-powered tools, Elation simplifies care workflows to help independent practices thrive.
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QBench is a cloud-based Laboratory Information Management System (LIMS) designed to help laboratories manage samples, workflows, data, inventory, reporting, quality processes, and client interactions in one platform.
Labs use QBench to manage operations from order placement and sample processing through results and automated reporting. The platform is highly configurable, allowing laboratories to build workflows, define custom data fields, and automate processes around the way their lab operates.
QBench helps reduce manual work by connecting instruments, software, and other systems through file parsers and a robust API. These integrations can automate data transfer, reduce repetitive data entry, and lower the risk of transcription errors.
Key capabilities include sample and workflow management, configurable workflows and custom fields, workflow automation, instrument and system integrations, file parsing, API connectivity, inventory management, client portals, automated reporting, analytics, and integrated Quality Management System (QMS) capabilities.
QBench is designed to adapt as laboratory processes change. Teams can modify workflows, fields, and automations without relying heavily on custom development.
As a cloud-based platform, QBench brings laboratory data, workflows, automation, quality management, and reporting into one centralized system. Customers are also supported by a team that includes former bench scientists who understand laboratory workflows and provide guidance during implementation and ongoing use.
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Congenica
We are at the forefront of precision medicine, alleviating the strain on healthcare systems through our innovative automated analysis, diagnosis, and treatment solutions that cater to healthcare providers and patients globally. Congenica emerged from groundbreaking research conducted at the Wellcome Sanger Institute and the UK's National Health Service. Our offerings integrate cutting-edge technology, top-tier automation, and artificial intelligence, allowing our distinct platform to be utilized across various human diseases where genomic information plays a crucial role in revealing actionable insights. As a digital health company, we specialize in software and solutions designed for the large-scale analysis and interpretation of genomic data. Our fully automated system, enhanced with robust APIs and machine learning capabilities, aims to lighten the load on specialist staff, improve case processing efficiency, speed up decision-making, and simplify reporting. Our platform is certified, accurate, and secure, empowering clinical decisions with the utmost confidence in the resulting clinical outcomes, and we continuously strive to innovate and expand our capabilities to meet the evolving needs of the healthcare landscape.
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GenomeBrowse
This complimentary software provides remarkable visual representations of your genomic information, allowing you to examine the specific activities at each base pair within your samples. GenomeBrowse operates as a native application on your desktop, eliminating the need to compromise on speed and quality while enjoying a consistent experience across different platforms. Designed with performance as a priority, it offers a quicker and more seamless browsing experience compared to any other genome browser on the market. Furthermore, GenomeBrowse is seamlessly integrated into the advanced Golden Helix VarSeq platform for variant annotation and interpretation. If you appreciate the visualization capabilities of GenomeBrowse, consider exploring VarSeq for tasks like filtering, annotating, and analyzing your data before leveraging the same interface for visualization. The software is capable of showcasing all your alignment data, and having the ability to view all your samples simultaneously can assist in identifying contextually significant findings. This makes it an invaluable tool for researchers seeking to gain deeper insights from their genomic data.
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