Elicit

Elicit is an AI-powered research platform focused on scientific and technical literature. It’s built for professional researchers, academics, and R&D or policy teams who need to find, screen, and synthesize evidence from large bodies of literature. The tool positions itself as “AI for scientific research,” aiming to reduce the manual work in literature reviews and evidence synthesis while keeping outputs transparent and traceable.

You use Elicit through a web interface that connects to large scholarly datasets. According to their site, it semantically searches over 138 million academic papers and more than 545,000 clinical trials, then helps you organize and analyze results. Getting started appears to be account-based (sign up/sign in), with workflows for search, research reports, systematic reviews, and alerts. It’s oriented toward sectors like pharma, academia, medical devices, policy, consumer goods, and industrial R&D, where rigorous, documented evidence is required.

Elicit leans into structured, multi-step workflows rather than simple chat. It can automate parts of systematic literature reviews (notably screening and data extraction), generate research briefs that you can customize by choosing which papers and data fields to include, and present results in interactive tables with sentence-level citations. The platform also offers a library to store and reuse sources and AI-powered alerts that monitor new research so you don’t have to manually re-run searches. Recent updates highlight “Research Agents” for tasks like competitive landscapes and broad topic exploration, reinforcing that it’s designed to run agentic, multi-step research workflows.

The emphasis is on scale, accuracy, and transparency: the site claims Elicit can surface up to 1,000 relevant papers and analyze up to 20,000 data points at once, with all AI-generated claims tied back to underlying sources via citations. Their blog describes internal evaluations of models like Claude Opus 4.5, Google Gemini 3 Pro, and OpenAI GPT‑5 for data extraction and report writing, but it’s not fully clear which models are used in production at any given time. Privacy and data-handling details aren’t covered on this page, so you’d need to consult their documentation or terms before using it for sensitive or proprietary projects. If you just need a generic chat-style AI, this is probably overkill; Elicit is better suited to users who care about systematic methods, traceable evidence, and domain-specific research workflows. Pricing details are not provided here and appear to require visiting the dedicated pricing page.