R&D lab management software - AI tools

Uncountable offers a leading cloud-based platform designed to streamline R&D workflows for enterprises in chemicals, biotech, advanced materials, and food industries, accelerating innovation from research to commercialization through integrated ELN, LIMS, and advanced analytics.

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Labstep is a next-generation cloud-based Electronic Laboratory Notebook (ELN) platform that streamlines research workflows, enhances data traceability, and boosts collaboration for scientific teams in academia and industry.

• Freemium

LabTrak is a laboratory information system designed for physician offices, pain management clinics, and specialty labs, offering CLIA and HIPAA compliant software that interfaces with analyzers and EMR systems to streamline diagnostic data management.

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RSpace is an open-source research data management platform that integrates electronic lab notebooks, sample management, and persistent identifiers to create FAIR-compliant research workflows.

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CSols provides laboratory software applications designed to improve productivity, quality, and regulatory compliance by eliminating manual data entry and streamlining workflows in laboratories worldwide.

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Seacoast Laboratory Data Systems provides customizable LIS software solutions and revenue cycle management tools designed specifically for clinical laboratories, offering scalable systems with world-class support to enhance operational efficiency.

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Scispot provides a unified lab operating system designed to connect fragmented operations into an AI-driven, audit-ready ecosystem for biotech, diagnostics, and testing companies.

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Clinevo Technologies develops AI-enhanced software solutions to streamline clinical trials and pharmacovigilance for the Life Sciences industry, including Pharma, Biotech, and CROs.

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[FP]-LIMS is a customizable and scalable Laboratory Information Management System (LIMS) that optimizes laboratory operations by efficiently linking data, processes, and people. It helps laboratories achieve new levels of efficiency through automated data collection, deep analysis, secure archiving, and complete traceability.

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