Knovari

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Knovari automatically detects and sanitizes confidential client content in consulting PowerPoint decks, so firms can reuse their IP and ground AI on it safely. 94% of consulting deliverables contain confidential client content, which keeps most of a firm's knowledge locked in project folders and out of reach of its AI tools. Knovari fixes that. It scans PowerPoint decks, detects confidential content using a proprietary 26-category sensitivity framework, and sanitizes each deck in minutes: redacting, replacing or obfuscating client-tied content while preserving the storyline and structure. It combines vision and text analysis, works on concepts rather than keyword patterns, and cleans the file at code level, including embedded chart data and logo links that manual review misses. Every change is logged and explained for compliance teams. Also known as redaction, blinding, scrubbing or anonymization. Built by strategy consultants; PowerPoint-native and think-cell compatible. The result: 4-10x more reusable IP and a knowledge base that is safe to put behind AI search, generation and agents.

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Key Features AI

Core Features
Proprietary 26-category sensitivity framework calibrated on hundreds of real consulting decks
Combined vision and text analysis: charts, images, layouts, text boxes and speaker notes
Semantic detection based on concepts, not keyword patterns; removes only client-tied content
Code-level cleansing of hidden traces: embedded chart data, workbook names, logo URLs
Two modes: scored sensitivity report (detect and flag) or fully automated redaction (~2 minutes per page)
Complete audit trail: every change logged, highlighted and explained; PowerPoint-native, think-cell compatible
Advantages
Preserves useful insights while removing sensitive information
Understands context better than keyword-based redaction tools
Provides clear auditability and review control
Supports deep PowerPoint sanitisation at the XML level
Designed for enterprise security and consulting workflows
缺点:Primarily focused on consulting use cases
缺点:No public pricing information is shown
缺点:May require manual review for final approval of redactions

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30-Day Click Trend

08-22 09-05 09-20

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