Sharly AI: The collaborative, source‑aware research copilot for teams
TL;DR Sharly AI is a document‑grounded research copilot: it summarizes one or many files, compares claims across sources, and links every answer back to citations inside a shared, role‑based workspace. It emphasizes security and governance (AES‑256 at rest, TLS 1.3 in transit, SOC 2 Type II options, SSO, role‑based permissions, docs‑only toggle) so sensitive work stays private. Pricing includes a Free tier and paid plans starting at Pro \$12.50/month (billed annually) and Team \$24/seat (billed annually); always check the latest details on the official page.
What is Sharly AI?
Sharly AI is a research and analysis assistant that turns large, messy document sets into clear, source‑linked insights. Instead of copy‑pasting excerpts into a chat window and hoping for the best, you upload files or connect cloud drives, ask questions in natural language, and Sharly answers with citations you can click back to the exact passage.
Unlike a general‑purpose chatbot, Sharly is designed for multi‑document workflows: it can summarize, extract key data, compare claims across sources, and surface contradictions. Teams collaborate inside shared, role‑based workspaces, keeping analysis, notes, and decisions tied to the primary sources.
Who made it? Sharly is operated by VOX AI Inc., and public interviews name Simone Macario as founder.
Why Sharly AI matters in 2025 and beyond
Generative AI has created a paradox: we enjoy more automation than ever, yet we are drowning in complexity. Knowledge workers, students, and small businesses spend hours switching between apps, verifying claims, and trying to separate useful insights from noise.
This is where Sharly AI thrives. Rather than acting as just another chatbot or writing assistant, it is positioned as an evidence‑first copilot. That framing matters, because organizations today are judged not only on the speed of their decisions but also on the credibility of the sources behind those decisions. In regulated industries such as healthcare, finance, and government, every claim must be auditable.
Imagine a compliance officer reconciling a new regulation with a stack of internal policies. A generic chatbot might produce a plausible summary, but the result is difficult to defend. Sharly answers with citations that point back to the regulation and the policy text, making it suitable for mission‑critical workflows rather than casual experimentation.
Why Sharly stands out
Source‑backed answers by design
Every response can be traced back to its original sentence or paragraph. The cite‑and‑navigate flow lets you move from a high‑level answer into the exact line in a PDF or doc, building confidence and making reviews auditable.
Validate and compare across documents
Sharly helps you cross‑check claims. Upload policies, reports, or transcripts; ask a pointed question; then review a side‑by‑side summary with conflicts highlighted and links back to each source.
Collaboration with governance
Work happens in role‑based workspaces with SSO and granular permissions, so teams can invite colleagues while respecting least‑privilege principles. Workspace isolation supports strict project boundaries.
Secure by default, stricter when you need it
Sharly documents AES‑256 encryption at rest and TLS 1.3 in transit, plus SOC 2 Type II options on higher plans. It supports docs‑only mode (answers sourced strictly from your files) and no‑training policies for LLMs. These controls are essential for legal, healthcare, or finance teams handling sensitive materials.
Model, language, and connector flexibility
Pick the model that fits your task (for example, OpenAI GPT‑4o, o1‑preview, or Anthropic Claude) and work in many languages. Connect Google Drive, Dropbox, OneDrive, and Notion to keep research in sync with your knowledge base.
Pricing and plans
As of publication, Sharly offers: • Free plan for getting started • Pro at \$12.50/month billed annually • Team at \$24/seat billed annually • Enterprise options on request
Plan pages outline limits such as document quotas and enterprise add‑ons. Always verify the latest pricing and caps before budgeting, as SaaS pricing can change.
How Sharly compares (and when to use alternatives)
• Versus generic chatbots: A standard chatbot is great for ideation, but answers are not necessarily grounded in your files. Sharly anchors replies to your documents with citations, which is ideal when accuracy and auditability matter. For a broader look at conversational tooling, see Claude vs ChatGPT.
• Versus single‑PDF tools: If your work is primarily one long report, a ChatPDF‑style tool is handy. Sharly shines when you need to synthesize dozens of files, resolve contradictions, and share findings across a team with permissions and logs.
• Versus note‑taking assistants: Tools that help you write in a doc are valuable, but Sharly adds multi‑source comparison with traceable citations. If you are building a help center or internal wiki, also consider AI Knowledge Base.
Expanded use cases for freelancers, startups, and creators
While enterprise adoption is obvious, freelancers and small startups can benefit just as much.
Freelancers: Content writers, researchers, and consultants can upload client briefs, past deliverables, and industry reports to instantly generate a proposal outline with clear references. Instead of starting from a blank page, they begin with a verified knowledge pack that speeds up scoping and reduces back‑and‑forth.
Startups: Early‑stage founders juggle investor updates, customer feedback, and competitor research. Sharly can align these inputs into a single workspace, making it easier to refine pitches or pivot strategies with data‑backed reasoning and links to the primary sources.
Creators: YouTubers, podcasters, and educators can use Sharly to distill hours of transcripts into highlight reels or lesson plans. Pairing this workflow with visual ideation tools such as AI Manga Generator or AI Animal Generator adds a creative twist when drafting thumbnails, characters, or lesson mascots.
Real‑world use cases with reported impact
Compliance and risk Internal auditors and legal reviewers use Sharly to flag inconsistencies across contracts, logs, and transcripts, reporting faster triage and audit‑ready traceability inside a governed workspace.
Academic literature review Researchers upload PDFs and extract metadata, insights, and citations (APA/MLA/Chicago) in one flow, reporting significant time savings for literature reviews and grant preparation.
Decision‑making for analysts and executives Analysts compare numbers and claims across memos, market reports, and decks, then link insights directly to source sentences to defend decisions. When stakeholder questions arise, the answer and the evidence live together.
If your day involves lengthy PDFs or recorded meetings, pair Sharly with a YouTube Video Summarizer or an AI PDF Summarizer, then validate and compare the outputs inside Sharly before sharing.
The future: from text to multimodal evidence
Sharly and tools like it are evolving beyond text. Soon, source‑backed will not only mean citations in PDFs but also timestamps in video, slides in presentations, and sections in audio transcripts. This enables multimodal validation: for example, a manager could ask what the CEO said about revenue projections in last quarter's town hall and receive the exact video clip alongside the transcript passage.
As governments tighten AI regulations, verifiable, transparent outputs will become a compliance requirement. Expect deeper integrations with audit logs, compliance dashboards, and data‑residency options that satisfy regional rules.
Finally, there is the human factor. AI systems that explain their reasoning and show their work will gain more trust than black‑box tools. By centering every answer on its evidence, Sharly positions itself not just as a productivity booster but as a partner in responsible decision‑making.
Hands‑on workflow you can replicate today
- Connect your sources: link a research folder from Drive, Dropbox, or OneDrive, or a team space in Notion so everyone analyzes the same canonical documents.
- Ask a scoped question: for example, "Summarize the risk provisions in Contracts A–D and list any contradictions.”
- Check the citations: use the citation viewer to verify that each bullet maps to an exact sentence; correct any misreads right away.
- Compare perspectives: use the comparison flow when multiple sources disagree; attach the comparison to your memo or issue tracker.
- Share inside the workspace: mention colleagues, assign follow‑ups, and keep role‑based permissions tight.
- Lock down sensitive work: for confidential projects, enable docs‑only mode so answers are derived strictly from your files; review retention and no‑training settings before inviting external counsel.
Strengths and trade‑offs
Where Sharly excels • Trustable answers with line‑level citations • Team‑ready governance: SSO, permissions, workspace isolation • Model and language breadth, plus popular storage connectors
What to watch • Plan limits and cost controls: verify quotas before scaling • Policy alignment: ensure defaults match internal data‑handling standards • Team adoption: reviewers still need to check citations and sign off
Frequently asked questions
Is there a free plan? Yes. The Free tier is suitable for piloting workflows before upgrading.
Which models can I use? Sharly exposes model selection so you can choose the best fit for your task.
Does Sharly train on my data? Policies indicate no training on your data for LLMs, alongside sensitive‑data redaction and access controls. Review retention details for your compliance needs.
What about enterprise security? Materials highlight AES‑256 at rest, TLS 1.3 in transit, SOC 2 Type II options, SSO, role‑based permissions, and workspace isolation.
Who is behind Sharly? Materials are presented under VOX AI Inc., and public interviews identify Simone Macario as founder.
How to get started
1. Create an account on the Free plan. 2. Import 3–10 representative files from your current project. 3. Write one decision question and one comparison question. 4. Verify every claim with the citation viewer. 5. Invite a teammate with read‑only access to review results.
To complement Sharly in a content workflow, pair it with Best ChatGPT Plugins for rapid drafting or AI PDF Summarizer for single‑document speed, then validate the final text inside Sharly before publication.
Bottom line
If your work demands speed, rigor, and traceability across long or conflicting documents, Sharly AI is purpose‑built for the job. It combines multi‑document reasoning with click‑through citations and enterprise‑grade controls, so teams can move faster without sacrificing auditability. Start on the Free plan and pressure‑test it on your next literature review, compliance audit, or board memo.
