Shelf

Shelf is an unstructured data management platform that can be used to clean and refine the raw, unstructured data that's the foundation of AI work. It structures and enriches raw, raw corporate data so GenAI and LLMs have better information to make decisions.

Some statistics from the platform indicate just how bad company files can be:

• 67% of files have at least one error
• 22% of files are outdated
• 33% of files are partially duplicated
• 82% of files have at least one critical risk

Some of Shelf's features include:

• Unstructured Data Management: Converts raw, unstructured data into structured formats that can be easily consumed and processed by AI and machine learning models.
• Knowledge Management: Enables organizations to get the most value out of information stored across documents, emails, and other knowledge assets.
• Future-Proof Tech Stack: Offers a modern, API-first architecture that supports today and tomorrow's knowledge initiatives.

The platform works through a five-step process:

1. Connect & Enrich: Pulls content from any source into a visibility layer to surface risks in unstructured data.
2. Illuminate Gaps: Gives visibility into data gaps to understand the root causes of hallucinations and bad answers.
3. Quality Control: Blocks bad answers from entering search results or LLMs.
4. Monitor & Improve: Continuously monitors data health and prioritizes fixes based on impact.
5. Future Proof: Offers flexibility and the ability to support all current and future knowledge initiatives.

Shelf can integrate with a wide variety of data sources, including files in any format or layout, to surface risks in unstructured data. And customers have given Shelf good reviews, saying Shelf helps make knowledge more accessible and cuts down on bad answers.

Pricing isn't yet disclosed. You can learn more or request a personalized introduction at the Shelf website.

Published on July 8, 2024