The startup offers a knowledge management platform that utilizes natural language processing to enhance search capabilities and automate content management for distributed teams. This platform reduces the time and effort required to locate information and maintain up-to-date knowledge resources, addressing inefficiencies in knowledge retrieval and content accuracy.
Funding
$59M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.




Founders
Product
Problem
Enterprises struggle with poor data quality within unstructured content, leading to inaccurate and untrustworthy outputs from Generative AI applications. Identifying and rectifying these data issues across diverse document types is a significant challenge, hindering successful GenAI deployment.
Solution
Shelf provides a knowledge management platform designed to improve data quality within unstructured data, ensuring more accurate and reliable GenAI answers. The platform enables users to connect their content, identify and filter out bad data, and ultimately generate trusted outputs. By addressing data entropy, Shelf helps organizations deploy GenAI with greater confidence and transparency, preventing flawed data from negatively impacting AI-driven results.
Target Audience
Shelf is designed for enterprises seeking to improve the accuracy and reliability of their GenAI deployments by addressing data quality issues within unstructured content.
Features
- Connects to various content sources to centralize unstructured data.
- Identifies and filters inaccurate or conflicting information within documents.
- Provides transparency over the source of bad answers generated by GenAI.
- Enables proactive prevention of bad data from being used in GenAI models.
- Facilitates the deployment of GenAI with improved data quality and reliability.
- Offers content intelligence for business applications.
- Provides search copilot and agent assist functionalities.