Knovari
Knovari is an AI-powered platform that automatically detects and sanitizes confidential client content within consulting PowerPoint decks, enabling firms to safely reuse their intellectual property and ground AI applications on clean knowledge bases. Unlike simple keyword-based redaction, Knovari uses context-aware models to identify indirect references that could reveal client identities, such as industry rankings or role descriptions. The platform provides surgical editing that removes only the necessary information while preserving valuable insights, and it offers a transparent audit trail showing every modification with a clear rationale. Additionally, Knovari performs true XML-level cleansing to eliminate hidden data like client logos retained in PowerPoint’s underlying code. Designed for enterprise environments, it supports secure private cloud deployment and is trusted by leadership at major consulting firms, including Big 4 strategy practices.
- Category
- AI Knowledge Management
- Pricing
- Unknown
Problem solved
Consulting firms struggle to reuse the vast majority of their project knowledge because documents contain confidential client information. Manual redaction is slow (up to 8 hours per deck), error-prone, and often overly destructive to the underlying insights. Knovari automates this process with context-aware AI, accurately identifying and scrubbing sensitive data while maximizing the reusable IP left behind, dramatically reducing time and unlocking knowledge for internal reuse and AI training.
Use cases
- Automatically redact client names, financials, and indirect identifying details from consulting decks
- Build a centralized, reusable knowledge base from sanitized past project documents
- Prepare high-quality, safe training datasets for internal AI models and agents
- Streamline knowledge management workflows for faster proposal assembly
- Ensure compliance with client confidentiality agreements when sharing past work examples
- Eliminate manual redaction drudgery, freeing consultants to focus on high-value analysis
Audience
- Enterprise
- Business Users
Pros
- Context-aware detection of indirect client identifiers beyond simple keywords
- Surgical editing preserves maximum insight while removing only sensitive portions
- True XML-level cleansing eliminates hidden residual data like deleted logos
- Transparent audit trail with clear rationale for every redaction
- Enterprise-grade security posture with SOC 2 observation and independent penetration testing
Cons
- Currently focused only on PowerPoint documents, limiting format support
- Pricing is not publicly disclosed and likely tailored for large enterprise budgets
- Requires booking a demo; no self-service trial or on-demand onboarding
- Unknown accuracy on highly ambiguous contextual clues without manual review
- May require integration effort to fit existing knowledge management systems
Official website: https://www.knovari.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/knovari