QBench is a cloud LIMS that gives testing laboratories one platform for samples, workflows, data, inventory, reporting, quality processes, and client interactions.
Every stage of lab operations runs through QBench, from order placement and sample processing to results and automated reporting. Because the platform is highly configurable, labs set up their own workflows, custom data fields, and automations to match how they already work, then adjust those settings as processes change without leaning heavily on custom code.
File parsers and a robust API link QBench with instruments, software, and other systems. Data moves between them automatically, which cuts down on repetitive entry and transcription errors. For deeper reporting, labs can connect QBench to Tableau, Power BI, Domo, and Looker via REST API.
Core features:
Sample and workflow tracking
Configurable workflows and custom fields
Automation
Instrument and system integrations
File parsers and API access
Inventory management
Client portal
Automated reporting
Analytics and operational insights
Tableau, Power BI, Domo, and Looker connectivity
Built-in Quality Management System (QMS)
Rather than requiring extensive custom development to fit a lab’s processes, QBench is designed to adapt, so changes to fields, processes, and automations stay in the lab’s hands.
Running in the cloud, QBench keeps lab data, workflows, quality management, and reporting secure and centralized. Former bench scientists on the QBench team help customers through implementation and ongoing use.
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SciSure is a platform for managing laboratory operations end-to-end, built for scientific organizations. It brings together ELN, LIMS, and Health & Safety tools so teams can document experiments, track samples, manage chemical inventory, and maintain compliance workflows that are structured and audit-ready.
By replacing fragmented systems with a single governed platform, SciSure helps organizations improve reproducibility, gain clearer operational visibility, and scale lab operations with less risk.
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Sapio Sciences
Sapio Sciences presents a comprehensive, AI-powered lab informatics platform that merges Laboratory Information Management Systems (LIMS), Electronic Lab Notebooks (ELN), and an advanced Scientific Data Cloud into a single, cohesive solution. Designed for scientific research, drug development, manufacturing, and clinical diagnostics, the platform offers no-code configurability, allowing labs to automate complex workflows without custom coding. Sapio LIMS® streamlines lab management by providing a fully configurable system that handles workflows end-to-end. Sapio ELN® delivers an adaptable electronic lab notebook that flexes to accommodate all types of research, from simple to highly complex experiments. The Scientific Data Cloud component unifies instrument data and research information across an entire enterprise, enabling seamless data access and preparation for AI-driven analysis. This integration simplifies data governance and regulatory compliance while enhancing collaboration. The platform supports various industries, including biotech, pharmaceuticals, clinical labs, and manufacturing.
Sapio Sciences also offers AI chat assistance to further enhance user experience. By centralizing lab informatics tools, Sapio accelerates discovery, improves efficiency, and reduces operational complexity. This platform is ideal for organizations looking to modernize their lab operations with intelligent, flexible, and scalable solutions.
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Signals Inventa
Signals Inventa, formerly known as Signals Lead Discovery, is an innovative data management system that facilitates the assessment of scientific research results. It leverages the state-of-the-art Signals Data Factory technology from PerkinElmer, enabling users to effortlessly access and scrutinize all scientific data collected during the research and development phases. No matter the nature of your project, Signals Inventa supports the identification of tests that produce the most encouraging results, informs strategies for subsequent developments, and pinpoints opportunities for additional testing, among various other functions. The platform guarantees that data is uniform, systematically arranged, and ready for in-depth exploration. Furthermore, Signals Inventa amplifies scientific insights through a range of analytical methods, including R-group decomposition, chemical clustering, matched molecular pair analysis, the discovery of maximum chemical substructures, as well as conducting blast searches across both internal and external databases, alongside sequence alignment techniques. This holistic methodology not only simplifies data analysis but also encourages groundbreaking discoveries in the scientific domain, ultimately enhancing the research process and outcomes.
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