arivis Cloud is a Pharma & Biotech tool that enables researchers to train AI models and automate image processing tasks. It offers deep learning segmentation and custom workflows without requiring coding.
arivis Cloud is a digital, cloud-based platform designed for biotech researchers to automate and customize image processing tasks. Equipped with an AI toolkit, it allows users to easily train deep learning models for complex feature segmentation in scientific images, all without needing to write any code. The platform offers customized image analysis workflows to improve throughput and reproducibility, making it ideal for automating mundane and repetitive tasks. Leveraging cloud infrastructure, arivis Cloud provides a scalable, secure, flexible, and mobile solution, helping to reduce costs associated with system hardware and software while ensuring reproducible results for large datasets.
Best used for
Ideal for biotech researchers who need to automate the segmentation of complex features in scientific images, customize image analysis workflows, and process large datasets efficiently. Especially valuable for those seeking to improve reproducibility and throughput without requiring coding expertise.
Not publicly disclosed. Check apeer.com for current pricing.
FAQs
What kind of AI models can be trained on arivis Cloud?
arivis Cloud specializes in deep learning models for segmentation of complex features in scientific images. This allows researchers to automate the identification and analysis of specific elements within their microscopy data, enhancing the precision and efficiency of their studies.
Is coding knowledge required to use arivis Cloud for image analysis?
No, arivis Cloud is designed to be accessible to biotech researchers without requiring coding knowledge. It provides an intuitive interface for training AI models and setting up customized image analysis workflows, making advanced tools available to a broader audience.
How does arivis Cloud handle large scientific image datasets?
arivis Cloud leverages cloud infrastructure to provide a scalable solution for working with large datasets. This ensures that researchers can process extensive image collections efficiently and reproducibly, without being limited by local hardware capabilities.
Shypd.aiThe largest open index of AI tools
