ARX DocLake
A private document intelligence platform built for regulated industries, sensitive data, and disconnected environments.
Years of PDFs, scanned documents, technical files, and archives should not become difficult to search or use with AI simply because the information is sensitive or cannot be moved to the cloud. ARX DocLake brings document recognition, preprocessing, indexing, fast search, and AI-powered Q&A into one on-premises platform. From raw documents to searchable and conversational private knowledge, the entire process can remain inside your enterprise network.
From raw files to searchable knowledge, without building multiple systems.
Place PDFs, scanned documents, and images on local storage or network-attached storage (NAS), then process large collections automatically through scheduled batch jobs. DocLake includes document recognition and AI preprocessing to prepare raw content for search and AI. Once indexed, documents can be organized into separate knowledge libraries by department, project, or information type.
From ingestion and processing to indexing and knowledge libraries, DocLake brings the entire workflow together.
PDFs, scans, and images on local storage or NAS
Document recognition and AI preprocessing in scheduled batches
Content prepared for search and AI
Organized by department, project, or information type
Stop opening documents one by one. The same DocLake knowledge library supports both fast search and AI-powered Q&A.
20M+records in large-scale testing, results in seconds
Quickly locate relevant information across massive document collections. In large-scale testing, DocLake has processed more than 20 million records, with search results returned in seconds.
Ask questions naturally across large document collections and let AI help search, understand, organize, and answer from your private knowledge.
When you need the source, search. When you need understanding, ask AI.
From document processing to AI Q&A, everything can stay inside your environment.
From original documents, OCR, and preprocessing to indexing, search, and AI-powered Q&A, DocLake can operate entirely within the enterprise network. Sensitive documents, R&D data, intellectual property, historical archives, and user queries do not need to be sent to public AI services.
DocLake is designed for organizations with demanding requirements for data sovereignty, confidentiality, regulatory compliance, intellectual property protection, and network isolation, including fully air-gapped environments.
Compact to deploy. Ready to grow.
200Kpages
Designed for document environments of approximately 200,000 pages.
500Kpages
Designed for document environments of approximately 500,000 pages.
DocLake can start as a compact integrated solution based on ARX-100 with network-attached storage (NAS). As document volumes, processing workloads, and performance requirements grow, compute and storage resources can scale while maintaining a consistent DocLake experience.
* Page counts represent recommended deployment sizes, not processing limits.
Through API, MCP, and CLI, DocLake can integrate with existing enterprise systems, AI assistants, and automated workflows. Highly sensitive information can remain inside the enterprise for search and knowledge processing, while retaining the flexibility to connect with other AI systems and hybrid architectures when needed.
DocLake turns private document collections into a knowledge source that enterprise AI can continuously use.
Search compliance documents, internal records, historical data, and sensitive knowledge quickly.
Protect R&D data, technical documentation, process knowledge, and intellectual property while using AI to accelerate discovery and understanding.
Find relevant information across large collections of cases, contracts, evidence, and historical documents.
Process sensitive documents and private knowledge within internal networks or fully disconnected environments.
Make books, research materials, scanned documents, and historical collections searchable and accessible with AI while maintaining control of the data.
Unlock the documents stored across NAS systems, file servers, and archives, and turn them into enterprise knowledge that can be searched, understood, and used.
