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.
Learn more
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.
Learn more
BigOmics Analytics
BigOmics Analytics is an innovative startup focused on biodata analytics, creating platforms that empower biologists to effectively visualize and interpret their omics data. Our primary offering, Omics Playground, is a highly intuitive bioinformatics tool tailored for RNA-seq and proteomics, enabling users to store their experimental data and visualize it interactively. With more than 18 interactive analysis modules and over 150 dynamic plots, the platform supports co-analysis with a vast array of more than 6,000 public datasets, in addition to providing access to more than 50,000 public gene sets and pathways. Furthermore, it seamlessly incorporates drug connectivity and drug sensitivity databases, featuring an extensive collection of over 30,000 drug expression profiles. BigOmics Analytics is designed to promote collaboration between biologists and bioinformaticians, allowing users to uncover insights while minimizing the time spent on data analysis, all without the need for any programming knowledge. The platform's commitment to producing reliable and reproducible results is achieved through the implementation of state-of-the-art methodologies. Ultimately, BigOmics Analytics is revolutionizing the way biological data is analyzed and understood.
Learn more
GPT-Rosalind
GPT-Rosalind is an advanced reasoning model created by OpenAI, aimed at enhancing scientific exploration in fields like biology, drug development, and translational medicine. Tailored for workflows in life sciences, it assists researchers in managing extensive literature, experimental findings, and specialized databases to formulate and test innovative concepts. By integrating a profound understanding of disciplines such as chemistry, genomics, protein engineering, and disease biology with sophisticated tool-usage capabilities, it effectively interacts with scientific databases, examines experimental results, and facilitates intricate, multi-stage reasoning tasks. Its functionalities span evidence synthesis, hypothesis formulation, literature assessment, sequence analysis, and experimental design, empowering scientists to transition more swiftly from raw data to meaningful insights. Furthermore, GPT-Rosalind revolutionizes cumbersome, time-consuming research methodologies into streamlined, AI-enhanced workflows, ultimately fostering a more productive scientific environment. This model exemplifies the fusion of artificial intelligence with scientific inquiry, paving the way for groundbreaking discoveries.
Learn more
