Our applications span the entire lifecycle through drug discovery, development towards market access and continuously leverage innovation
Given immense pressure on Pharma-, Biotech- and Medical Device markets, Life Scientists must develop innovative new drugs without friction, each with a considerable advantage. Corporations and sponsors face an unprecedented need for speed, consistency, and compliance.
Sustainable success in the modern era lies beyond standalone streamlined processes. Everything is now interlinked. More than ever, all technical processes rely on imaging. Images are the heaviest data storage and computational burdens of the modern technology organization and hoard vast untapped information (at unmeasured costs).
neuronOS is based on a keen awareness of the drivers in pharmaceutical development; prudently disrupting or blending in. It is built specifically to support Advanced Analytics on Big Data and enable Artificial Intelligence on multiple levels to increase speed and enable the right data-driven decisions. Instead of being slammed by frequent regulatory waves, organizations neuronOS to ride on top of them.
Enabling a smart digitization from early stages onwards by utilizing metadata in all asset types, in big data volumes from screenings, 2D/3D imaging and annotation processes
Understanding success factors in Clinical Trials and Regulatory Submissions increase the probabilities and enable early attrition by predictive analysis.
Turning massive data into valuable information which can lead into earlier decision readiness. Making the right decisions early is paramount. Understanding fundamental functional patterns manifest in digital forms and workflows which are core principles of the arivis approach - all with quick and data-driven decisions in mind.
arivis has a successful track record in solutions for research and drug development, quality and regulatory solutions and also a native backend of partners for scaling. Agile software development principles for the neuronOS platform and imaging products using SCRUM and DevOps enable truly continuous development cycles. Customer and market-centric product management that uses subject matter experts as product owners to incorporate a diverse industry know-how.
Life Science players in Pharma, Biotech and Devices, as well as CROs and drug manufacturers are more likely to achieve desired outcomes, if they make decisions early and based on research and data evaluation.
You will find these dimensions reflected in each of the predefined applications. The applications are focused on different processes and functions along the research and development life cycle and can handle a broad variety of digital assets, data, dossiers, documents and digital forms.
Building a successful platform is more about making the right trade-offs than it is about technology. To understand the trade-offs, and find the smart direction you have to make the right decisions on what kind of platform you are building. For neuronOS, we asked our customers and the subject matter experts involved in our projects to understand what makes a good platform for tomorrows life science organizations.
Comprehensive Imaging Science solution for research and production imaging processes. Process support that covers the whole workflow from imaging to conclusions. Improve and integrate image production, data ingestion/archiving, storage, access, analysis strategy, QA/QC, computation at scale, review of results, and implementation of custom algorithms and AI.
Quality Management System with features to secure and control data & documents. Collaborative platform for regulated content, processes and end-to-end compliance along the complete life sciences life cycle. Powerful and intuitive navigation, enhanced user experience, dynamic content management and search features. Connecting quality teams globally.
Trial Master File solution to securely review and audit TMF documentation. Digital process support with form-based workflow for the complete (pre-) clinical document processes. Visualize real-time completeness based on study, country and site indicators. Apply filters and different dimensions, view metadata to intuitively navigate through complex eTMF filings
Document and project management solution for life science. Tools for operations and oversight teams to prepare and review documents and records for the completion and successful submissions and correspondence. User centric collaboration, automation and quality workflows featuring the life cycle of documents and dossiers from authoring to (re-) submission.
arivis BM-Watcher is a 21 CFR Part 11 raw data management solution for the pharmaceutical industry. It integrates with nearly all types of laboratory instruments. It is able to provide data integrity features even for legacy systems. arivis BM-Watcher is an agent that is able to monitor the file storage of a laboratory device.
Complete document management, training management, CAPA, deviations, change control - all in one tool.
BM-Watcher is a 21 CFR Part 11 raw data management solution for the pharmaceutical industry. It integrates with nearly all types of laboratory instruments. It is able to provide data integrity features even for legacy systems.
Modular software toolkit for extracting results from scientific images. Adjusts to hardware for maximum power and smooth interactivity on image datasets of unlimited size. Brings diverse tools into one environment and enables users to connect them into productive workflows. Highly interactive for optimization and quality at every step. Extendible directly via Python and connectable to other applications via libraries.
Display real image data in Virtual Reality by utilizing patent pending direct volume rendering techniques with no need to convert data or make surface models. Directly use your hands to move, rotate, scale, and shape your digital image data. Interactively proofread, edit, track or segment multi-dimensional images from nearly any source instrument.
A nucleus of computational activity and collaboration at scale. VisionHub enables design and execution of large-scale experiments that produce results from images, whether datasets are already stored or are actively being produced. Mass quantities of Imagery are onboarded and processed by a virtual team of computational workers. Smartly utilize processing cores in servers or workstations with the maximum speeds possible.