Ganymede

Ganymede's Asset Utilization and Reliability Analysis (Aura) data product streamlines lab operations by centralizing data from diverse instruments and systems. It provides analytics to track performance, identify bottlenecks, and optimize workflows. With error diagnostics and predictive maintenance, Aura minimizes downtime and supports overnight runs. The platform enhances cost efficiency and capacity planning while laying the groundwork for AI-driven insights.

?? Wrapping up an amazing 2024 with our community! ?? As the year winds down, we’re celebrating the innovation, collaboration, and connections that made 2024 unforgettable. Stay tuned—there’s few more to come before the year ends! ?? Looking Ahead ?? Thank you for your incredible support! We’re excited to continue driving progress, building relationships, and shaping the future of the modern lab together. Here’s to another year of success and innovation! #ThankYou #LabAutomation #LifesciencesInnovation #Community #FutureForward

Ganymede's case study here explores applying GxP guidelines to integrating AI in regulated environments. It highlights challenges in ensuring compliance while enhancing efficiency and decision-making in the pharmaceutical and life sciences industries. Key points include aligning AI with GxP standards, adopting a risk-based validation approach, and leveraging best practices like robust documentation and cross-functional collaboration to navigate compliance effectively. #GxP #AI #Compliance

?? Join us today for our webinar "GxP and AI - Unexpected Friends in the Lab of the Future"! ?? Nathan Clark and Megan Kaveney will be exploring how AI and GxP compliance can work together to drive innovation in life sciences. ?? Happening today at 3 PM EST/12 PM PST – don’t miss out and register below! #GxP #AI #Compliance #Webinar

?? Powering Up Your Instrument Fleet! ?? What are the essential insights—performance metrics, downtime trends, and beyond—that keep your fleet running flawlessly? Share your secrets to success!

Looking forward to seeing friends and meeting new folks with life sciences data and compliance specialty at the GxP and AI webinar this Thursday. Make sure to sign up here if you're interested in this topic. We will be having an engaged discussion with attendees as well!

?? Choosing between building or buying instrument integration software? Why not both? In biotech, balancing customization and scalability is key. A hybrid approach—combining in-house development with third-party solutions—offers the best of both worlds. Ganymede’s flexible platform allows labs to integrate data and tailor workflows efficiently, empowering teams to innovate without being bogged down by technical limitations. This includes: 1) Hybrid Solution Advantage: A mix of building and buying software offers the flexibility of in-house solutions with the convenience of external tools, allowing labs to customize without overwhelming costs or resources. 2) Strategic Data Planning: Labs should align their data strategy with their workflow needs and automation goals, especially regarding data integration and standardization across instruments and processes. 3) Platform Flexibility: Ganymede’s platform provides an adaptable “Lab-as-Code” approach, enabling both non-coders and technical users to set up, manage, and customize data integration efficiently. #biotech #labautomation #dataintegration #futureoflabs #buildvsbuy

Learn how the lab of the future can leverage a platform for AI and be GxP!

How can you validate your data infrastructure? On November 14th, we'll be discussing GxP and AI - both highly demanding and structured workflows that require clean data. Because of this, compliance approaches for both share a lot of unexpected similarity. Join Nathan Clark and Megan Kaveney to learn how data-driven approaches to informatics and validation are evolving in 2024. #ai #machinelearning #gxp #quality #webinar

We partnered with MasterControl to discuss how to integrate AI and robust data infrastructure within GxP (Good Practice) compliance frameworks across data integrity, explainability, and risks associated with "black-box" AI models. Things to consider as you're going through this journey: 1) Data Integrity as the Foundation: Structured, traceable data interfaces ensure that AI outputs are explainable and auditable, which is essential for compliance with GxP standards. 2) Infrastructure-as-Code (IaC) for Reliable Deployment: Using IaC frameworks, such as Terraform, helps automate infrastructure deployment while maintaining version control, making it easier to adhere to compliance requirements and support agile AI solutions. 3) Balancing Innovation with Compliance: We need to adopt AI responsibly by focusing on transparency and explainability, reducing the risks of "black-box" models and ensuring that AI enhances rather than complicates compliance efforts. Access to the full article on the MasterControl website: https://lnkd.in/eqE8w2Kz, or reach out to Ganymede to learn more about our GxP offering: https://lnkd.in/ggjCAsHS. #ai #machinelearning #gxp #quality