KnowledgeLake
Enterprise content management (ECM) systems
OCR software
Robotic process automation (RPA) software
Document scanning software
Process automation software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is KnowledgeLake
KnowledgeLake is an enterprise content management and document automation platform focused on capturing, classifying, and routing documents into business processes. It is commonly used by operations, shared services, and IT teams to digitize inbound documents (paper and electronic), extract data with OCR, and automate downstream workflows. The product is closely aligned with Microsoft 365/SharePoint content repositories and emphasizes document capture, metadata enrichment, and process automation around content-centric work.
Strong Microsoft 365 alignment
KnowledgeLake is designed to work with SharePoint/Microsoft 365 as a primary content repository, which can reduce duplication of content stores for organizations standardized on Microsoft. This alignment supports common ECM needs such as document libraries, metadata, and governance patterns already present in Microsoft environments. For teams that want content automation without introducing a separate, standalone repository, this can simplify architecture and user adoption.
End-to-end capture to workflow
The platform combines document scanning/capture, OCR-based data extraction, and workflow routing in one product family. This supports end-to-end scenarios such as AP invoice intake, HR onboarding packets, and case file assembly where documents arrive in mixed formats. Having capture and automation under one vendor can reduce integration effort compared with stitching together separate scanning, OCR, and workflow tools.
Content-centric automation features
KnowledgeLake focuses on automating work that starts with documents, including classification, metadata assignment, and exception handling. These capabilities are useful where process steps depend on document type, extracted fields, or content location in SharePoint. The approach fits organizations that prioritize document governance and retrieval alongside automation, rather than automation that is primarily UI-driven.
SharePoint-centric architecture tradeoffs
Organizations not using SharePoint/Microsoft 365 as a core repository may find the product less aligned with their existing content stack. In heterogeneous environments, additional integration and governance work may be required to connect line-of-business systems and non-Microsoft repositories. This can limit portability for teams seeking a repository-agnostic ECM strategy.
RPA depth may vary
While the product supports process automation, it is not always positioned as a full-scale RPA suite for broad UI automation across many desktop and web applications. Teams needing extensive bot orchestration, attended/unattended bot management, and complex UI automation may need to validate coverage for their specific use cases. Some scenarios may require complementary automation tooling or custom development.
OCR accuracy depends on inputs
As with most OCR-driven capture solutions, extraction quality depends on document quality, layout variability, and language/handwriting characteristics. High-variance document sets often require configuration, template/training effort, and ongoing tuning to maintain accuracy. Buyers should plan for exception workflows and operational monitoring rather than assuming fully hands-off extraction.
Plan & Pricing
Pricing model: Pay-as-you-go / consumption-based Free tier/trial: Free trial available (see official free trial sign-up). No permanently free plan published on the vendor site. Example costs / published offers:
- KnowledgeLake’s Digital County Government Modernization Program is offered at a fixed price of $75,000 (program-specific offering documented on the official site). Notes:
- KnowledgeLake’s official site repeatedly describes pricing as "consumption-based" or "pay only for what you use" (document processing consumption), but does not publish per-unit, per-user, or tiered subscription prices on public pricing pages. Contacting sales is required for detailed cost estimates and commitments.
Seller details
KnowledgeLake, Inc.
St. Louis, Missouri, USA
1999
Private
https://www.knowledgelake.com/
https://x.com/KnowledgeLake
https://www.linkedin.com/company/knowledgelake/
