
AlisQI is a Quality Management platform built for process and batch manufacturers who want operational control without adding administrative overhead.
Where many QMS platforms were designed around document storage and event tracking, AlisQI was architected as a data-first system. Quality, laboratory, and production data are structured and connected in a single operational backbone. This enables teams to see deviations earlier, understand performance trends in context, and act before issues escalate into waste, rework, or customer complaints.
The platform includes modular capabilities across document control, training, deviations, CAPA, audits, risk management, supplier quality, SPC, and EHS. These capabilities are deployed through focused, ready-to-use Solvers that combine workflows, logic, dashboards, and analytics to address specific operational challenges without unnecessary scope.
Because the system is built on structured, connected data, manufacturers can apply practical AI directly inside their workflows. This includes automated extraction of supplier COA data without predefined templates, conversational access to quality records, intelligent rule generation, and pattern recognition across incidents to strengthen corrective action effectiveness.
Solvers are production-ready from the outset and evolve as products, processes, or sites change. Improvements do not require custom development or large IT programs, allowing organizations to modernize quality step by step.
Manufacturers across chemicals, plastics, packaging, food and beverage, automotive, and industrial sectors use AlisQI to reduce firefighting, increase predictability, strengthen compliance, and turn quality data into operational intelligence.
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SciSure is revolutionizing laboratories across the globe with innovative digital solutions designed for the future. Our Digital Lab Platform (DLP) integrates essential tools such as Electronic Lab Notebooks (ELN) and Laboratory Information Management Systems (LIMS), alongside cutting-edge technologies like artificial intelligence and machine learning. Engineered for effortless integration with your laboratory's existing hardware and software, this platform significantly boosts flexibility, security, and overall efficiency. By streamlining and optimizing your research and development processes within a secure and compliant framework, we enable researchers to focus more on driving innovation. Our dedicated team of experts is here to assist you throughout every phase of your digital lab transformation journey, ensuring a smooth transition.
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Labguru
Labguru is a comprehensive cloud-based platform that functions as an Electronic Lab Notebook, LIMS, and Informatics solution tailored for the life sciences sector, ensuring both security and reliability. This platform not only captures and organizes laboratory data but also manages inventory alongside essential molecular and chemistry tools, ultimately enhancing laboratory efficiency and streamlining operations through automation. Scientists using Labguru can design intricate experiments and workflows, while the system enables them to gather both structured and unstructured data, oversee projects, and disseminate their findings effectively. With the ability to create customized experiment templates and incorporate protocols and standard operating procedures, Labguru aims to elevate data quality, optimize workflows, and minimize expenses. Accessible via cloud technology, it is compatible with both desktops and mobile devices, catering to the diverse needs of researchers. As a division of Holtzbrinck Publishing Group, Labguru proudly supports a vibrant community of over 100,000 scientists, including those from universities, research institutions, startups, and major pharmaceutical companies worldwide, thereby fostering innovation and collaboration in scientific research. This extensive user base highlights Labguru's significant impact on the global research landscape, making it an indispensable tool for modern laboratories.
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ADME Suite
Forecasting the absorption, distribution, metabolism, and excretion (ADME) characteristics based on chemical structure is crucial. This set of precise calculations pertaining to pharmacokinetic properties is beneficial for facilitating high-throughput screening of various libraries. Additionally, it offers valuable insights into pharmacological impacts, aiding in the assurance of human safety for the products being developed. Such predictive modeling can significantly enhance the efficiency of drug discovery processes.
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