Sharly AI
Sharly AI is a secure research workspace that summarizes and compares documents with citations, supports multi-format uploads like PDF and DOCX plus Notion exports, and emphasizes encryption and no training on your content for faster evidence checking.
Overview
Sharly AI is an AI research workspace designed to turn dense documents into source-backed answers you can verify. It focuses on summarizing and extracting insights, validating and comparing claims across multiple documents, and helping you cite and navigate back to the original material with citation support. Sharly supports multi-format uploads including PDF and DOCX and it also references Notion exports, which helps when research is spread across different tools.
3 in transit plus a zero-knowledge architecture, and the pricing page states no training data for LLMs on paid tiers. 5 per month billed yearly, so most teams can trial workflows before committing. Use Sharly when you need defensible summaries, faster cross-document checks, and a structured way to move from reading to writing while keeping a review step for accuracy and nuance.
Key features
- Multi-format upload: Import PDF and DOCX plus Notion exports so the same workflow works across research sources
- Source-backed summaries: Generate summaries with citations so readers can jump to supporting passages and verify claims
- Compare documents: Cross-check multiple documents to surface conflicts matches and missing details for evidence review
- Semantic extraction: Pull topics entities and figures at scale to speed up structured analysis from long files
- Security design: Uses encryption at rest and in transit with a zero-knowledge architecture described on product pages
- No training claim: Pricing page states no training data for LLMs on paid plans which supports sensitive workflows
- Role governance: Product and pricing mention role-based access and audit oriented features for teams and institutions
- Collaboration workflow: Team tiers reference annotations and citation history so groups can review evidence consistently
Best for
- Policy briefs: Summarize long reports with citations so stakeholders can verify evidence without reading the full file
- Competitive research: Compare vendor PDFs to spot conflicting claims and missing proof before a decision
- Due diligence: Validate key statements across contracts and memos with cited passages for faster legal review
- Academic review: Extract methods and results from papers then compare findings across multiple studies
- Meeting prep: Turn reference docs into a short cited brief before calls so you ask better questions
- Board updates: Build defensible summaries that link to sources so executives can drill down when needed
- Knowledge base: Upload recurring docs and produce repeatable cited answers for common internal questions
- Audit support: Keep citation history and structured notes to support repeatable review processes
Capabilities
Cited summaries
Generate summaries and answers with citation support so each claim can be traced back to a source passage. This improves trust in outputs and reduces time spent hunting for evidence during reviews and writing.
Multi-doc comparison
Compare multiple documents to identify conflicts and alignments across sources. Use this for diligence and research synthesis where a single document view can hide contradictions or missing assumptions.
Security controls
Sharly describes end-to-end encryption with AES256 at rest and TLS 1.3 in transit plus a zero-knowledge architecture. Use this to support sensitive research workflows alongside internal policies for access and retention.
Collaboration history
Team tiers reference annotations and citation history so groups can review evidence consistently. Use shared workspaces to align on sources, document decisions, and keep traceability for later audits.
Frequently Asked Questions
How does Sharly AI pricing start?
The pricing page shows a Free plan and a Pro plan priced at $12.5 per month billed yearly. If you need team features like annotations and knowledge retention, review Team pricing and seat limits on the same page.
Does Sharly AI use my documents to train models?
Sharly pricing states no training data for LLMs on the paid plan. You should still review the official terms and privacy policy to confirm how content is processed, stored, and deleted for your specific compliance needs.
What formats does Sharly AI support?
The pricing page lists multi-format upload including PDF and DOCX and it also mentions Notion exports. If your workflow relies on PPTX or OCR, confirm current limits and support details in official documentation before standardizing.
Is Sharly AI a good fit for regulated data?
Sharly highlights encryption and governance features, but suitability depends on your regulations and contracts. Review the official security and privacy documentation, and use internal controls for access, retention, and approvals for sensitive uploads.
How does Sharly AI compare to chat-first tools?
Sharly is built for document-centric work with citations and multi-document comparison, while chat-first tools often focus on conversation without strong evidence traceability. Choose Sharly when you need verification and cited navigation as part of the workflow.
