# Sharly AI

> Sharly AI is an AI research assistant for source-grounded document analysis, built for researchers, students, faculty and the universities and research libraries that serve them. It summarizes, compares and cites across papers, theses, reports and datasets (PDF, DOCX, PPTX, XLSX, Google Docs, Notion, web links), and every answer links back to the exact page and passage it came from, so claims can be verified before they are used. Sharly is cited in peer-reviewed literature and has a citable technical note (DOI). Made by VOX AI Inc., San Francisco.

Key facts:
- Website: https://sharly.ai — App: https://app.sharly.ai — Help center: https://docs.sharly.ai
- What it does: literature review and evidence synthesis, cross-document comparison and claim validation, page-level citations in APA, MLA and Chicago, shared workspaces for labs, departments and thesis committees
- Source-grounded by design: docs-only answer mode restricts answers to the uploaded documents, which supports academic integrity and reproducible workflows
- For institutions: campus-wide and department licenses, an admin layer (Sharly Console) with role-based permissions, activity logs and usage controls, so libraries and research offices can give students and researchers AI with verifiable sources under institutional governance
- Security: AES-256 encryption at rest, TLS 1.3 in transit, role-based access, activity logs
- Languages: the assistant works with documents in any language; the site and product interface are available in English and Spanish (https://sharly.ai/es), with Spanish-language support
- Scholarly record: Sharly is referenced in academic publications, including works that use it in their methods (see the technical note below)
- How to cite: Macario, S. (2026). Sharly AI: an AI research assistant for source-grounded document analysis (Technical note, software version 2026.09). VOX AI Inc. https://doi.org/10.5281/zenodo.22803980 (CC BY 4.0)

## Who Sharly is for

- Researchers and PhD students running literature reviews who need every summary traceable to its source
- Faculty and lecturers preparing teaching material and reviewing student work with verifiable citations
- University libraries and research offices seeking an AI research tool they can deploy institution-wide with admin control
- Research labs, think tanks and policy analysts synthesizing evidence across many reports
- Compliance and risk teams validating claims across regulatory documents

## Pricing

Individual plans below are per month, billed yearly (USD). Institutions are licensed separately. Current pricing: https://sharly.ai/pricing
- Free — $0: 10 documents/month, 50 messages/month, 10k context length, limited OCR
- Pro — $12.50/month: unlimited uploads, 1,000 messages/month, 50k context length, citation style switching
- Team — $24/seat/month: up to 100 seats, unlimited documents and chats, 124k context length, shared workspaces, annotations
- Universities, libraries and research institutions — annual institutional licenses with unlimited usage and Sharly Console (admin dashboard, role-based access, audit logs, SSO/SAML): https://sharly.ai/contact-sales

## Product

- [Product overview](https://sharly.ai/product): Summarize & extract, validate & compare, cite & navigate, collaborate securely
- [Use cases](https://sharly.ai/use-cases): Literature review for researchers, evidence-based decision-making for analysts, compliance & risk
- [Pricing](https://sharly.ai/pricing): Free, Pro, Team and institutional plans
- [Cite Sharly](https://sharly.ai/cite): How to cite and disclose the use of Sharly in a paper or thesis (APA, BibTeX, DOI)

## Documentation

- [Docs index for LLMs](https://docs.sharly.ai/llms.txt): Full list of help pages in markdown
- [Sharly for Academia](https://docs.sharly.ai/academia/overview.md): For researchers, students and faculty
- [Research & citation guide](https://docs.sharly.ai/academia/research-guide.md): Literature reviews, data extraction from papers, source-verified citations
- [Research team collaboration](https://docs.sharly.ai/academia/collaboration.md): Shared workspaces for labs, departments and thesis committees
- [Citing Sharly](https://docs.sharly.ai/academia/citing-sharly.md): Disclosure and citation formats
- [Quickstart](https://docs.sharly.ai/quickstart.md): Sign up and analyze your first document
- [Chat interface](https://docs.sharly.ai/chat-interface.md): AI modes, document viewer, Insights panel, settings
- [FAQ](https://docs.sharly.ai/faq.md): Common questions from new users

## Integrations

- [Zapier](https://zapier.com/apps/sharly-ai/integrations)
- [n8n](https://n8n.io/integrations/sharly-ai/)

## Optional

- [Talk to us about an institutional license](https://sharly.ai/contact-sales)
- [LinkedIn](https://www.linkedin.com/company/sharly-ai/)
- [X / Twitter](https://x.com/SharlyAI)
- [Terms](https://sharly.ai/terms) · [Privacy](https://sharly.ai/privacy)