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Academic and market researchers drown in PDFs. AI data agents can 'read' thousands of pages of research, extracting specific methodologies, formatting citations, and summarizing trends across a wide corpus in minutes.
Spend months on a literature review; extraction errors slip in when your eyes glaze over on paper 47 of 200.
Literature review done in 2–3 weeks with higher consistency; more time for novel analysis and writing original findings.
The same automations, installed by us in the accounts you already pay for. A kit from $49 if you want to import it yourself, an install from $249, the full package at $490. Three questions tell you which.
60 seconds
No tools to learn and nothing to install. Copy this prompt, paste it into ChatGPT, and see what AI can do for researchers today.
Act as my research assistant. Question: [paste]. Outline the key sub-questions, summarize what's likely known vs. contested, suggest the best types of sources to check, and draft a structured literature-review skeleton I can fill in.
How AI agents help
Extract methodologies, findings, and limitations from 500+ papers in an afternoon, with direct citations to page numbers.
Cluster papers by theme, highlight consensus vs. debate, and identify gaps in the literature ripe for new work.
Pull specific fields (sample size, p-values, population) from unstructured papers into a clean dataset.
Produce first drafts of background sections grounded in the papers you've loaded—with citations in your preferred format.
Daily digests of new papers matching your research focus with auto-generated summaries.
Deeper guides: AI Data Analyst Agent · AI Finance Agent · AI Legal Agent
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FAQ
You must use strict RAG (Retrieval-Augmented Generation) agents that cite their sources directly to the source text page. Never use a general model to recall facts from memory; always make it extract from the provided documents.