Can't we just use ChatGPT or Claude to sanitize a deck?

For the commodity layer, yes: obvious names and identifiers. Generic AI falls down on charts and quantitative content, qualitative client information, and everything hidden inside the file itself, such as embedded chart data and logo links. It also cannot reliably separate client-confidential content from generic insight, so it either guts the slide or misses the risk. Knovari was built for exactly this gap: over 60% of manually sanitized decks can be re-identified by AI, and generic tools share the same weakness.

How is Knovari different from redaction or PII tools?

Those tools pattern-match PII: names, numbers, addresses. Consulting confidentiality is much broader: strategic recommendations, deal terms, financial models, content from one client appearing in another's deliverable. Knovari understands the context of the whole deck, removes only what is client-tied, and replaces content rather than black-boxing it, so the deliverable stays usable. It also works natively on PowerPoint rather than flattened PDFs.

What does Knovari work on today?

PowerPoint, deliberately: it is the primary deliverable format in consulting. Knovari is think-cell compatible and cleans the file at code level, not just what is visible on the slide. Word, Excel and PDF support is on the roadmap. You can run it in flagged-review mode or fully automated.

Knovari: Knovari automatically detects and sanitizes confidential client content in consulting PowerPoint decks, so firms can reuse their IP and ground AI on it safely.

Name: Knovari
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Introduction:

Knovari automatically detects and sanitizes confidential client content in consulting PowerPoint decks, so firms can reuse their IP and ground AI on it safely.

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Jul 09 2026

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Knovari Product Information

What is Knovari?

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.

How to use Knovari?

Upload a PowerPoint deck. Knovari scans it with combined vision and text analysis against a proprietary 26-category sensitivity framework. Choose detection-and-flagging mode for a scored, located sensitivity report, or automated redaction mode to receive a sanitized deck in which confidential content is replaced with realistic anonymized alternatives so the storyline and structure survive. Review the audit log of every change, then reuse the deck or add it to an AI-ready knowledge base. PowerPoint-native and think-cell compatible. Book a demo at knovari.ai.

Knovari's 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

Knovari's Use Cases

Knowledge reuse: turn past client deliverables into a safe, searchable asset library

AI-ready knowledge bases: sanitize decks before they enter RAG, search or agent pipelines

Proposal development: assemble new proposals from sanitized prior work instead of rebuilding from scratch

Compliance review: audit-ready record of exactly what was removed or replaced in each deck

FAQ from Knovari

Can't we just use ChatGPT or Claude to sanitize a deck?
How is Knovari different from redaction or PII tools?
What does Knovari work on today?

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