If you're looking for a platform that spans scientific research, experimentation and data management across many domains, BIOVIA is a good option. It's a broad scientific environment spanning many domains, including biosciences, laboratory informatics, materials science and engineering. The software includes tools like BIOVIA Discovery Studio and BIOVIA Materials Studio that are built on the 3D EXPERIENCE platform, which means they benefit from a unified data model, cloud-native deployment and integrated workflows to help you manage scientific data.
Another option is Enthought, which aims to speed scientific discovery with AI-infused data tools and custom machine learning services. It's got a cloud-native platform, Enthought Edge, that can handle both structured and unstructured data. It's particularly useful for life sciences and energy customers, helping scientists get a handle on data and speeding R&D work.
If you need a search engine for academic papers, Consensus is a good option. It indexes more than 200 million research papers across all domains and uses AI to help you find and understand relevant research. Features like GPT-4 summaries and Consensus Meter make it a good option for researchers and students trying to cut down on literature reviews.
Last, Domino Data Lab is an enterprise AI platform geared for data science teams. It's a governed environment for code-first data science, integrated with a wide range of tools and infrastructure. It's designed to ensure reproducibility and governance while letting data scientists collaborate and deploy models to different environments, so it's good for life sciences and financial services customers.