Who It’s Best For
About the tool
Yila is an AI agent built for academic research. A single query fans out across OpenAlex, PubMed, arXiv, Semantic Scholar, Google Scholar, Crossref, and Wanfang, then merges, deduplicates, and ranks papers by journal quartile, impact factor, CCF rank, and citation count. For literature reviews, Yila reads 50+ full papers, compares methods, findings, and strength of evidence, and drafts an editable, citation-backed review in which every reference carries a real title, authors, venue, and DOI. The product addresses the biggest risk of using general AI for research: invented citations and shallow, abstract-only summaries. Beyond search and review, Yila profiles uploaded CSV or XLSX data before choosing a statistical method and returns charts, result tables, and reusable analysis code. It also generates editable scientific figures from a prompt, turns a paper into a conference poster or an editable PPTX deck, and formats manuscripts to journal or thesis rules, with version history on every output. Yila is designed for researchers, graduate and PhD students, and lab teams preparing theses, lab meetings, papers, and conference presentations. Credit-based Starter, Pro, and Flagship plans are available monthly, yearly, or as lifetime packs, while free tools such as the Citation Generator, Chat with PDF, and Paragraph Summarizer offer an entry point without a subscription.
Key Use Cases
AI Knowledge Assistants
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Data Analysis
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Document Summarization
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Content Writing
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Automation integrations
Native connectors with Zapier, Make and Albato, checked by AITL.

No direct integrations listed
No public direct integrations currently listed with Zapier, Make, or Albato.
Where this tool is active and shares its updates.
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