The first project, Semantic Scholar, is a full-featured AI-based research service. It lets you search for and read relevant scientific papers from a catalog of more than 219 million papers across all scientific fields. With features like AI-based research feeds, automated email alerts when new citations and papers are published, and a research activity dashboard, Semantic Scholar is intended to keep you current with what's happening in your field.
Another good option is Consensus. This AI-based academic search engine covers a lot of research and has features like Copilot and Consensus Meter based on OpenAI and proprietary large language models. It also has filters for sample size, study design, methodology and availability, so you can quickly vet research and get authoritative answers. Consensus comes in different pricing levels for different needs, from students to professionals.
Elicit is another tool worth checking out, in particular for empirical subjects like biomedicine and machine learning. It lets you search, summarize and extract data from more than 125 million academic papers. You can even hold a conversation with the paper's contents, which is useful for systematic reviews and keeping up with the latest research. Elicit comes in Basic, Plus and Enterprise/Institutional versions with varying features for different users.