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g.nome, a cloud-native platform that delivers streamlined, scalable, and interoperable workflows for next-generation sequencing analysis. g.nome provides a low-code/no-code pipeline build. With pre-built workflows and toolkits from a curated library, g.nome is giving power to researchers — enabling them to import custom code, handle big datasets reliably, and optimize team collaboration from anywhere. With g.nome, long-time barriers linked to workflow language, process flow visibility, and quality control are removed. ...

Sapio Sciences delivers the Sapio Platform, an agentic AI lab informatics platform that makes life in the lab easier and more productive for scientists. The unified, configurable, low code and scalable environment brings together Sapio LIMS, the market’s most advanced and flexible LIMS for automating research, diagnostics and manufacturing, Sapio ELaiN, the third generation AI lab notebook and scientific co scientist, and Sapio Scientific Data Cloud, the scientific data unification solution with built in organization, search, charting, tools and AI. ...

Nygen is a cloud-based single-cell RNA-seq (scRNA-seq) and multi-omics data analysis and discovery platform designed to let researchers upload, explore, visualize, analyze and interpret complex cellular datasets with an intuitive, no-code interface that supports drag-and-drop workflows and advanced scientific analysis without requiring programming expertise; it combines Nygen Analytics for rapid, reproducible scRNA-seq exploration with collaborative dashboards and publication-ready outputs, Nygen Database for accessing and hosting curated single-cell datasets to accelerate research and comparative studies, and Nygen Insights, an AI-augmented tool that delivers highly accurate cell annotations, in-depth disease impact analysis and tailored biological insights; it supports a wide range of data formats, integrates public data, enables secure cloud-based collaboration, and provides features like literature-linked evidence and biomarker-focused analyses.

JADBio is a state-of-the-art automated Machine Learning Platform without the need for coding. With its breakthrough algorithms it can solve open problems in machine learning. Anybody can use it and perform a sophisticated and correct machine learning analysis even if they do not know any math, statistics, or coding. It is purpose-built for life science data and particularly molecular data. This means that it can deal with the idiosyncrasies of molecular data such as very low sample size and very high number of measured quantities that could reach to millions. ...

...L7|ESP has native applications, including L7 LIMS, L7 Notebooks, L7 MES, L7 Scheduling, and more. It can integrate with existing third-party applications, lab instruments, and devices to capture all data in a single data model. It has a low-code/no-code workflow designer and hundreds of pre-built connectors to enable rapid time-to-value and end-to-end automation. By leveraging a single data model, L7|ESP enables advanced bioinformatics, AI, and ML to offer novel scientific and operational insights. L7|ESP addresses data and lab management needs in life sciences, particularly in: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Resource Center: l7informatics dot com/resource-center

...Signals VitroVivo 3.0 (formerly Signal’s Screening) easily transforms raw data into actionable results and Signals Inventa 3.0 (formerly Signals Lead Discovery) is the next-gen analytics software that enables researchers to seamlessly publish results from disparate data sources. Experimental data capture, materials management, and collaboration workflows in a user-friendly cloud-based electronic notebook. Flexible visual and automatable instrument data processing to drive data quality and reproducibility. Unified data management for scientific results combined with rich interactive analytics. Extensibility to integrate with internal and partner systems and processes.

...The software offers modules that manage clinical trials, families and patients, informed consent, storage, diagnostics, next-generation sequencing, and sample processing. Interfaces with external data sources and offers flexible options to integrate 3rd party systems and instruments.

...Scitara DLX™ is a universal digital data infrastructure that connects any instrument, resource, app and software in the laboratory. The cloud-based, fully auditable platform connects all data sources across the lab, allowing the free flow of data across multiple end points. This allows scientists to devote their time to scientific research, not waste it solving data issues. DLX curates and corrects data in flight to support the development of accurate, properly structured data models that feed AI and ML systems. This supports a successful digital transformation strategy in the pharma and biopharma industries. ...

...Powered by its Precision Medicine AI Agent Platform, QuartzBio includes key solutions like Sample Intelligence, which offers a 360° view of biospecimen lifecycles from collection to long-term storage and uses automated logistics, stability monitoring and data-reconciliation tools; and Biomarker Intelligence, which delivers unified ingestion of assay data across DNA, RNA, protein and cell-based modalities, a no-code data-mapper, global search, dashboards, visual analytics and genomic/cytometry modules; additionally, the Agent Intelligence layer enables natural-language queries across the data asset so stakeholders.

...Edison Analysis performs complex scientific data analysis by iteratively building and updating Jupyter notebooks in a dedicated environment; given a dataset plus a prompt, the agent explores, analyzes, and interprets the data to provide comprehensive insights, reports, and visualizations, very much like a human scientist. It supports execution of Python, R, and Bash code, and includes a full suite of common scientific-analysis packages in a Docker environment. Because all work is done within a notebook, the reasoning is fully transparent and auditable; users can inspect exactly how data was manipulated, which parameters were chosen, how conclusions were drawn, and can download the notebook and associated assets at any time.

...Unleash your equipment to work full pelt on the hardest problems you need to solve today, tomorrow, and every other day after that. Run V1 in the morning, then V2 after lunch. With Synthace's dynamic automation, you can update your experiments as often as you like, without (re)writing code: run your experiments this way, then that way, then back again. Act on your decisions with lightning speed. Automatically gather and structure your experiment designs, experimental data, and metadata, all in one platform.