
Built for testing laboratories, QBench is a cloud LIMS that brings samples, workflows, lab data, inventory, reporting, quality processes, and client interactions into a single system.
From order placement through sample processing, results, and automated reporting, QBench supports every stage of lab operations. Lab teams configure their own workflows, data fields, and automation rules, so the software fits existing processes instead of forcing new ones. When requirements shift, labs can adjust fields, processes, and automations without depending heavily on custom code.
Instruments, software, and outside systems connect to QBench through file parsers and a robust API, which moves data automatically and limits repetitive entry and transcription mistakes. For reporting beyond the LIMS, labs can connect QBench to Tableau, Power BI, Domo, or Looker via REST API.
What labs get with QBench:
Sample and workflow management
Configurable workflows and custom data fields
Workflow automation
Instrument and system integrations
File parsing and API connectivity
Inventory management
A client portal
Automated reporting
Analytics and operational insights
Connections to Tableau, Power BI, Domo, and Looker
A built-in Quality Management System (QMS)
Because it runs in the cloud, lab teams get secure access to their data, workflows, quality management, and reporting in one centralized platform. Implementation and ongoing guidance come from a team that includes former bench scientists who understand laboratory workflows.
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Certainty Software
Certainty is an enterprise-level auditing and inspection software that can be trusted to help you manage and report on business risk, compliance, and performance metrics quickly and efficiently.
Certainty Software is used by hundreds of thousands of professionals to complete millions of inspections and audits each year. It provides all the tools you need to collect, collate, and report consistent, accurate, and meaningful metrics across your business.
Certainty provides all the tools you need to design, manage, and report on audit/inspection data, as well as help you manage and mitigate any risks, incidents, and issues that may be identified during the audit/inspection process.
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The Galen Platform
Ibex Medical Analytics stands at the forefront of AI-driven cancer diagnostics within the field of pathology. Our diverse team comprises entrepreneurs, data scientists, software engineers, and medical professionals united in our mission to revolutionize cancer diagnostics through artificial intelligence, ultimately enhancing patient care. As the volume of tests continues to rise annually, pathologists face significant challenges in delivering precise and timely analyses. To address this, Ibex harnesses the power of AI to create clinical-grade solutions that aim to identify cancer with the same level of accuracy as a human pathologist. The Galen Platform employs advanced algorithms to scrutinize images, detect and classify cancer in biopsy samples, and highlight other clinically significant findings, thereby assisting pathologists in minimizing diagnostic errors while streamlining their workflow. Notably, Ibex’s Galen™ Prostate and Galen™ Breast solutions represent the pioneering AI-based cancer detection tools integrated into routine clinical practice in pathology labs, showcasing proven efficacy in uncovering previously missed cancer cases. As we continue to innovate, our commitment to improving cancer detection and patient outcomes remains unwavering.
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Proscia
Concentriq, our advanced AI-driven software platform, operates at the crucial crossroads of digital and computational pathology, merging essential functionalities for routine pathology tasks with robust AI tools that enhance innovations and elevate patient care quality. Pathology laboratories around the globe are acutely aware of the contemporary hurdles, which include an escalating cancer incidence, a shortage of trained pathologists, diminishing reimbursement rates, and the urgent need for modernization. In this context, with one billion pathology slides projected to transition to digital formats annually, generating enormous volumes of new data and insights, the urgency to act is undeniable. Digital pathology equips today’s progressive pathology organizations with the resources necessary to tackle these challenges effectively, thereby revolutionizing our operational methods and significantly impacting the fields of medicine and patient treatment. As this transformation unfolds, the potential for improved diagnostics and enhanced patient outcomes continues to grow exponentially.
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