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Knovari

Automated detection and redaction of confidential content in consulting deliverables, so firms can safely reuse their IP and deploy AI on their knowledge base.

Side-by-side review: the original slide on the left, the sanitised version on the right. Every change is a tracked finding you can accept, restore or flag before download.

Cost / License

  • Subscription
  • Proprietary

Platforms

  • Online
  • Software as a Service (SaaS)
Treatment profiles let you set how each class of content is handled across three modes — Anonymise for internal reuse, Sanitise for knowledge bases and AI, Full Sanitise for external sharing and training.
Upload a PowerPoint deck, pick a treatment profile, and Knovari sanitises it ready for review. Runs in your own EU region or in-VPC.
+1
A slide can look clean while client names, source workbooks and asset links sit in the underlying file. Knovari cleans at the code level, not just what's visible on the slide.
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Knovari information

  • Developed by

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  • Licensing

    Proprietary and Commercial product.

  • Pricing

    Subscription ranging between $50 and $20000 per month.

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  • Supported Languages

    • English

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Knovari was added to AlternativeTo by wesknovari on and this page was last updated .
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What is Knovari?

Knovari automatically detects and redacts confidential and client-sensitive content from consulting deliverables — starting with PowerPoint. Consulting firms sit on years of high-value IP locked inside past decks, proposals and analysis, but can't reuse it or feed it to AI tools without risking client confidentiality.

Knovari combines vision and text analysis against a proprietary sensitivity framework to identify client names, confidential data, personal information and other sensitive material across a document, then redacts or sanitises it. The result: firms can safely repurpose their own knowledge, build internal knowledge bases, and deploy AI on their content without exposing anything they shouldn't.

Built for Knowledge Management, AI/Innovation and governance leaders at management consulting firms who need to drive a competitive advantage through AI, without compromising client confidentiality.

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