Enthought has a digital transformation platform for scientific R&D labs. It offers custom machine learning and AI-driven data tools that can dramatically improve the speed and cost of scientific discovery. The platform lets labs get access to and analyze structured and unstructured data, automate data assembly and workflow, and free scientists to concentrate on higher-level work.
Another option worth a look is BenchSci, which has an AI-powered information retrieval system called ASCEND. It's geared for drug discovery and complex research workflows in preclinical R&D. It's got a large database, multimodal AI for understanding experiments, and strong security. ASCEND helps pharmaceutical and biotech R&D companies speed up and improve the quality of their research.
If you need a search and summarization tool, Epsilon is an AI-powered search engine that speeds up scientific discovery by finding relevant citations and distilling information. It's got tools like Investigate, Search, Validate and Synthesize that can be useful to researchers. Epsilon helps you organize publications and patents, summarize information and validate claims, and overall improve research speed and productivity.
Last, Semantic Scholar offers a free AI-powered research service that lets scholars find and read relevant scientific papers across all fields. It's got powerful search filters, brief summaries, citation tools and AI-powered research feeds. With its large database and easy interface, Semantic Scholar helps researchers organize, share and stay up to date on what's going on in their field.