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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A cloud LIMS that tracks samples, tests results, and manages inventory for life science research, industrial QC labs, and biotech/NGS. Includes regulatory support for CLIA and HIPAA, Part 11 and ISO 17025. The quality, security, traceability, and traceability for samples is crucial to a lab's success. Laboratory professionals can use the Lockbox LIMS system to manage their samples. They have full visibility of every step of the sample's journey from accession to long-term storage. LIMS analysis is more than just tracking results. Lockbox's multilayered sample storage and location management functionality lets you define your lab's storage structure using a variety location options: rooms and storage units, shelves and racks, boxes and boxes.
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Edison Analysis
Edison Analysis serves as an advanced scientific data-analysis tool developed by Edison Scientific, functioning as the core analytical engine for their AI Scientist platform known as Kosmos. It is accessible through both Edison’s platform and an API, facilitating intricate scientific data analysis. By iteratively constructing and refining Jupyter notebooks within a specialized environment, this agent takes a dataset alongside a prompt to thoroughly explore, analyze, and interpret the information, ultimately delivering detailed insights, comprehensive reports, and visualizations akin to the work of a human scientist. It is capable of executing code in Python, R, and Bash, and incorporates a wide array of common scientific-analysis libraries within a Docker framework. As all operations occur within a notebook, the logic behind the analysis remains completely transparent and accountable; users have the ability to examine how data was processed, the parameters selected, and the reasoning that led to conclusions, while also being able to download the notebook and related assets whenever they wish. This innovative approach not only enhances the understanding of scientific data but also fosters greater collaboration among researchers by providing a clear record of the entire analytical process.
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Signals Research Suite
The Suite is designed to be both secure and scalable, featuring a contemporary and user-friendly interface that empowers scientists to have full control over the configuration of workflows for various techniques, modalities, and data types. The latest iteration, Signals VitroVivo 3.0, formerly known as Signal’s Screening, effectively converts raw data into practical insights, while Signals Inventa 3.0, previously called Signals Lead Discovery, serves as advanced analytics software that allows researchers to publish results effortlessly from diverse data sources. Additionally, it facilitates the capture of experimental data, oversees materials management, and streamlines collaboration workflows within an easy-to-navigate cloud-based electronic notebook. With adaptable visualizations and the ability to automate instrument data processing, the Suite enhances data quality and ensures reproducibility in research. It also provides a unified data management system for scientific outcomes, enriched with dynamic, interactive analytics. Furthermore, its extensibility allows for seamless integration with internal systems and partner processes, making it an invaluable tool for scientific discovery and innovation.
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