
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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A cloud-based Laboratory Information Management System (LIMS) is designed to oversee sample tracking, test outcomes, and inventory management specifically for life sciences research, industrial quality control laboratories, and biotechnology/next-generation sequencing applications. This comprehensive system provides essential regulatory compliance support for standards such as CLIA, HIPAA, Part 11, and ISO 17025, ensuring that laboratories operate within the necessary legal frameworks. The importance of quality, security, and traceability in managing samples cannot be overstated, as these factors play a pivotal role in a lab's effectiveness and reliability. Utilizing the Lockbox LIMS platform, laboratory professionals gain the ability to meticulously oversee their samples, offering complete transparency throughout the entire process, from initial accession to long-term preservation. Additionally, LIMS analysis encompasses far more than merely tracking outcomes; the Lockbox system features advanced multilayered sample storage capabilities and location management, allowing users to customize their laboratory's storage framework with diverse options that include rooms, storage units, shelves, racks, and boxes. This flexibility empowers labs to efficiently organize and access their samples, ultimately enhancing operational productivity and accuracy.
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nQuery
Discover the numerous benefits of nQuery, which range from conducting sample size and power analyses to facilitating cutting-edge adaptive trial designs, thus positioning itself as the premier platform for trial design that not only expedites clinical studies but also minimizes costs while improving success rates. Researchers and biostatisticians around the world favor nQuery as a solution to the increasing intricacies of clinical trials, surging expenses, and changing regulations. Its user-friendly, spreadsheet-like interface allows for quick calculations of sample sizes suitable for FDA and EMA submissions without the need for any coding expertise. Serving both Frequentist and Fixed-term trials, nQuery simplifies reporting for all parties involved in the trial process. Users can benefit from realistic predictions of expected timelines and expenses, ensuring that their sample sizes are in harmony with both scientific insights and budgetary constraints. Additionally, nQuery's multiple factors tool enables precise adjustments to calculations, boasting over 1000 methods for sample size and power calculations, which allows for rapid determination of sample sizes in various contexts. By leveraging nQuery’s extensive features, you can confidently navigate the complexities of contemporary clinical trials and enhance the efficiency of your research endeavors. Embracing nQuery means embracing a smarter, more effective way to conduct clinical research in an ever-evolving landscape.
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ABTestly
ABTestly serves as a powerful A/B testing tool tailored for teams that wish to execute experiments via coding rather than utilizing a graphical interface.
Variations are developed using genuine JavaScript and CSS, allowing for seamless integration into your code repository and subjecting them to the same thorough review process as other code updates. The platform boasts a compact runtime of around 31 KB when gzipped, ensuring that users do not see a flash of the control version by delaying page rendering until the variation is completely applied.
Rather than relying on a single estimated figure, ABTestly diligently monitors assignment, exposure, and conversion as three separate events in a detailed ledger, which improves the transparency of results. It also provides well-defined confidence intervals alongside sample sizes, avoids hasty announcements of winning variations, and detects any discrepancies in sample ratios, notifying users of potential concerns.
With three statistical engines at its disposal, frequentist analysis is accessible for all plans, while sequential and Bayesian methods are exclusive to Pro plans and higher. Furthermore, a speed guardrail feature assesses the 75th percentile Largest Contentful Paint (LCP) in comparison to the control group, ensuring that performance metrics remain optimal.
Clear pricing options are available, starting at $99 monthly for up to 50,000 tracked users, $249 for 200,000 users, and $549 for as many as 500,000 users, all with a 14-day trial included for monthly subscriptions, allowing teams ample opportunity to test the platform's capabilities. This approach not only enhances user experience but also fosters confidence in the results obtained from A/B testing initiatives.
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