
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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SciSure is a Scientific Management Platform built to support the full range of laboratory operations for scientific organizations. It combines ELN, LIMS, and Health & Safety functionality, giving teams a single system to document experiments, track sample lineage, manage chemical inventory, and run structured, audit-ready compliance processes.
Instead of relying on disconnected systems, organizations get one governed platform that improves reproducibility, increases visibility into lab operations, and reduces risk as they scale.
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Signals VitroVivo
Signals VitroVivo integrates various assay developments, ranging from low throughput to ultra-high-throughput production assays, High Content Screening, and in vivo research, allowing users to access all assay and screening information through a single, comprehensive platform. This system is not only adaptable for individual assay tasks during the development phase, but it is also robust enough to accommodate more complex studies and a wide array of techniques, making it scalable to manage extensive data volumes. Scientists can utilize a consistent and repeatable approach for both data collection and processing protocols, facilitating swift and straightforward structure-activity relationship evaluations for both small and large molecules. Designed to meet specific needs in managing studies, treatments, and samples, this platform enhances the overall efficiency and effectiveness of scientific research, ultimately leading to more innovative discoveries.
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Signals Inventa
Signals Inventa, which was previously referred to as Signals Lead Discovery, represents an advanced data management solution designed for the evaluation of scientific findings. Utilizing the cutting-edge Signals Data Factory technology from PerkinElmer, it allows users to seamlessly access and analyze all scientific data gathered throughout the research and development process. Regardless of your project, Signals Inventa aids in determining which tests yield the most promising outcomes, guides decisions on future developments, and identifies areas for further testing, among many other capabilities. The platform ensures that data is standardized, organized, and primed for exploration. Additionally, Signals Inventa enhances scientific insight through various analytical techniques such as R-group decomposition, chemical clustering, matched molecular pair analysis, the identification of maximum chemical substructures, as well as blast searches across both internal and external databases, and sequence alignment. This comprehensive approach not only streamlines data analysis but also fosters innovative discoveries in the field.
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