The AI research copilot that finds, reads, and synthesizes peer-reviewed papers โ with citations.
Exalyte is the AI research tool built for academics, PhD students, and R&D teams who are tired of Google Scholar returning 10,000 irrelevant results. It indexes 200M+ peer-reviewed papers, and the AI answers every query with inline citations you can click through to verify. It also extracts figures, tables, and methods sections on demand, and can synthesize a literature review across 50 papers in 5 minutes.
Who it's for: PhD students, academics, scientific researchers, biotech/Pharma R&D, policy analysts, and any researcher doing a serious literature review.
Every AI response includes inline citations with paper title, authors, year, journal, and DOI. Click to verify. No more 'the AI hallucinated a paper' anxiety.
Covers PubMed, arXiv, bioRxiv, SSRN, JSTOR, and major publisher databases. Updated daily. If it's peer-reviewed and on the open web, Exalyte knows about it.
Type 'show me dose-response curves for metformin in PCOS' and it surfaces the actual figures, with AI-generated captions. Massive time-saver for systematic reviews.
Upload 30-100 papers (or pick a topic) and Exalyte writes a structured literature review with themes, gaps, and chronological evolution. Still needs human editing, but cuts the work by 70%.
Exalyte is the most citation-trustworthy AI research tool in 2026. If you're a PhD student or researcher doing a literature review, the figure extraction and citation-traced answers are unmatched by Elicit or Consensus. It's still young โ coverage gaps in some niche fields โ but for biomedical and ML research, it's a serious productivity multiplier.
The original AI research assistant โ strong in biomedicine
AI search that surfaces scientific consensus from papers
AI that classifies how papers cite each other (supports/contrasts)
General AI search with Pro Search and citations