Context-aware redaction for consulting.

Knovari makes consultancies’ knowledge safe, reusable and AI-ready by removing confidential or client-identifying data, while preserving the insights that matter.

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Sanitised copy

The Challenge: Knowledge Trapped Behind Confidentiality

An iceberg of stacked documents — only its tip visible above the waterline, a vast mass submerged below.

Lost Knowledge = Lost Competitiveness

The average consulting firm only reuses 5% of their knowledge due to redaction constraints

An hourglass whose sand is paper pages, beside a lone consultant dwarfed by a towering stack of decks.

Wasted Time = Lost Revenue

Manual redaction takes hours per deck: burning thousands of billable hours

A padlocked vault standing between a stack of consulting documents and an AI network reaching toward them.

Blocked AI Adoption = Lost Productivity

AI investments underperform due to inadequate training data

The Solution: Knovari’s Benefits

Unlock Trapped Knowledge

Far more reusable IP: instantly reuse every proposal and project document — not just the final deliverable

Eliminate Manual Redaction

Hours per deck → minutes: improved billability & margins

Improve Your ROI on AI

Massively enhanced AI training set: safely deploy AI platforms & Agents grounded in your firms’ knowledge

Why Knovari’s Different

We’re the only solution for sanitisation in consulting — here’s why:

Context-Aware

Normal redaction tools are keyword based, finding e.g. 'ACME Corp'. Knovari understands that a reference to 'client is #2 in the beverage industry' still reveals their identity.

A magnifying glass over a page, tracing a line from an indirect clue to a hidden human silhouette.

Surgical Editing

Knovari knows when to take out a word, a clause, a sentence, or a whole chart — maximising insight retention whilst meeting confidentiality requirements.

A scalpel lifting a single mark from a page while the surrounding lines and a small chart stay intact.

Transparent & Auditable

Every modification is shown with clear rationale. Review, adjust, or override any change with ease.

An open ledger with each redaction joined by a line to a margin annotation and a checkmark.

True XML Cleansing

Did you know image files - including client logos - are retained in PowerPoint XML even after they're deleted from a deck? Knovari redacts to the code level.

A slide peeled back at the corner to reveal and clean the hidden embedded layers beneath its surface.

See Knovari in action

Watch a 3-minute walkthrough

Trusted by Consulting Leaders

“This is the only solution I’ve seen that solves redaction in consulting”
— Head of Knowledge Management, Big 4 Strategy Firm
“Client confidentiality remains one of the most significant bottlenecks to realizing ROI from AI.”
— Board Member & Global Head of AI, Tier-1 Consultancy
“I love how it fits straight into our consultants’ workflow”
— Knowledge Manager, £500m consultancy
“I’m delighted you’ve built this – I’ve been holding off hiring more Knowledge Managers for sanitization because I’m hoping AI will solve this”
— Global Head of Knowledge Management, £100m consultancy

Enterprise-grade from day one

Built with security at the core, designed for the most demanding enterprise environments

SOC 2 Type II

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Certified

Penetration Tested

Independent external penetration test

Secure Deployment Options

Private cloud deployment tailored to enterprise security requirements

Unlock your knowledge potential

Experience how Knovari detects, redacts, and unlocks your knowledge base.

Contact Us / Book an Intro Call

Our Mission

Building the privacy layer for enterprise AI

Enabling a safe data foundation for the agentic enterprise — starting with consulting, expanding to all knowledge-intensive sectors.

Meet the Founders

Wesley Blackhurst
CEO & Co-Founder

Wesley Blackhurst

Former Engagement Manager at Kearney (strategy consultancy), with deep experience of knowledge management workflows.

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Johnny Blackhurst
CTO & Forward Deployed Co-Founder

Johnny Blackhurst

Senior Legal Engineer experienced in deploying and implementing enterprise-grade AI systems. Previously developed in-house AI applications at leading law firms.

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