What is Shelf?

Shelf is an AI-powered knowledge management platform designed to solve data quality challenges that hinder successful GenAI deployments. By proactively identifying, filtering, and eliminating bad data from documents and content repositories, Shelf ensures that generative AI solutions deliver reliable and accurate answers for enterprise users. The platform brings transparency to the source of AI-generated responses, allowing organizations to deploy generative AI with confidence and avoid negative outcomes caused by poor-quality inputs.

Shelf incorporates advanced readiness checks for retrieval-augmented generation (RAG) and offers tools for continuous improvement of knowledge assets. Its ontology-driven architecture processes massive volumes of unstructured data, effectively transforming and organizing content into usable business intelligence. This makes Shelf an essential solution for businesses looking to harness the full potential of GenAI while minimizing risks associated with data inconsistency and inaccuracy.

Features

Data Quality Filtering: Detects and removes bad or inconsistent data before it impacts GenAI answers.
GenAI Readiness Tools: Prepares enterprise content for effective use with generative AI solutions, including RAG pipelines.
Answer Transparency: Provides traceability and explanations for AI-generated outputs.
Continuous Knowledge Improvement: Enables ongoing assessment and enhancement of enterprise knowledge assets.
Ontology-Driven Architecture: Structures and organizes large-scale unstructured data for business use.
Integration Support: Connects with major platforms like Salesforce, Zendesk, Slack, and contact center solutions.

Use Cases

Improving the accuracy of AI-generated answers in enterprise applications.
Preparing organizational data for retrieval-augmented generation (RAG) workflows.
Automating the identification and elimination of low-quality knowledge base content.
Enhancing contact center agent performance by delivering consistent, vetted information.
Accelerating safe, confident deployments of generative AI across the business.

FAQs

How does Shelf improve generative AI answer quality?

Shelf identifies and filters out poor-quality or conflicting data in organizational content, ensuring that only trusted information is used by generative AI systems.
What integrations does Shelf support?

Shelf can integrate with popular enterprise platforms, including Salesforce, Zendesk, Kustomer, Slack, and major contact center solutions.
Is Shelf suitable for large volumes of unstructured data?

Yes, Shelf's ontology-driven architecture is designed to process, organize, and analyze extensive collections of unstructured data.