AI needs more than access to your knowledge.
Enterprise knowledge is fragmented across documents and systems, inconsistently structured, missing critical business context, and constantly changing.
The workarounds create more work, and still don’t scale.
When the information layer isn’t ready for AI, teams compensate around it. Those fixes can get a narrow use case off the ground, but they add maintenance, duplicate effort, and make each new AI initiative harder to support.
Content engineering
Teams manually rewrite and optimize content for AI consumption.
It can improve outputs, but every change in the source knowledge creates more work. At scale, maintaining AI-ready versions becomes another content operation of its own.
AI operating procedures
Teams create separate instructions, rules, and workflows specifically for AI.
That creates a parallel layer that has to be maintained alongside the real knowledge system, and inevitably drifts as the business changes.
RAG on raw documents
Teams connect AI directly to existing content and rely on retrieval to find what matters.
Retrieval can surface relevant text, but without enough structure and business context, AI still has to infer relationships, applicability, and business logic on its own.
Unstructured data pipelines
Teams use pipelines to extract and move unstructured content into AI systems, but the transformation is often shallow.
The information may be chunked, tagged, or normalized, yet still lacks the deeper business context, relationships, and cross-repository connections AI needs to interpret it correctly.
Make enterprise knowledge AI-ready by design.
Cortex transforms the knowledge you already have into a foundation AI can use effectively. It gives enterprise information the structure to be understood, context to be interpreted correctly, governance to remain controlled, and continuous quality assurance to stay reliable as it changes.
This is the intelligence layer beneath Shelf’s AI Knowledge Management and AI Data Layer solutions.
Transform knowledge across every dimension AI depends on.
Translate + Structure
Turn enterprise information into structures AI can use.
Cortex transforms documents, files, and other knowledge sources into machine-readable structures, metadata, and relationships that make information easier to retrieve, connect, and use.
Add Business Context
Give AI the business context needed.
Enrich information with company-specific meaning around products, policies, terminology, markets, audiences, relationships, processes, and operating rules, so AI can understand what information means and when it applies.
Govern
Keep enterprise control built into the knowledge layer.
Apply the permissions, access controls, ownership, publishing, review, and lifecycle management your organization already depends on, even as knowledge is reused across AI experiences.
Continuously Improve
Keep the knowledge behind AI ready as your business changes.
Continuously identify outdated, duplicate, conflicting, incomplete, and low-quality information so the foundation beneath your AI improves over time.
Connect Data from Any Source
Bring structured and unstructured data into Cortex.
Connect documents, files, databases, and other enterprise sources so Cortex can structure, contextualize, govern, and prepare the information for AI use.
Shelf solutions built on Cortex
AI Knowledge Management
For business and KM teams that need a better way to manage, govern, create, find and use enterprise knowledge.
Shelf supports the familiar knowledge-management requirements teams already depend on while extending the same governed knowledge into the AI era.
Underneath that experience, Cortex gives the same governed knowledge the structure, business context and continuous quality AI needs.
Explore AI Knowledge ManagementAI Data Layer
For technical teams that already recognize data quality, missing business context, structure or governance as a constraint on AI performance.
Shelf’s AI Data Layer addresses that underlying requirement. Cortex turns enterprise documents and files into AI-readable, contextualized, governed and quality-assured information.
Cortex as a Service is the product for teams that want Cortex beneath an application or AI experience layer they already own.
Explore AI Data Layer
Security, governance, and reliability
Cortex preserves permissions, access rules, ownership, and governance across connected knowledge sources and the AI systems that use them.
It supports enterprise security and compliance requirements with established certifications, security controls, and auditable access.
APIs and SDKs make governed knowledge available across your existing applications and infrastructure without requiring you to move or duplicate source content.
Security, availability and confidentiality trust
EU-compliant data protection protocols
Application security & governance framework
What our customers say
about Shelf on G2
Build the knowledge foundation for what comes next.
Turn fragmented enterprise knowledge into structured, contextualized, governed information ready for the people, applications, and AI systems that depend on it.
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