See Enterprise GenAI Outlook 2025 Survey Results

Our company DNA is knowledge and unstructured data

The basic economic resource is no longer capital, nor labor. It is and will be knowledge.

Peter Drucker, Management Consultant & Educator

[ About us ]

Shelf was founded on the principle that knowledge is the life blood of an organization, the source of its competitiveness, innovation, know-how, and core competencies.

This organizational knowledge is stored in files and assorted documents that are scattered and siloed throughout the organization.

On first glance, it would appear that if companies could quickly tap into this abundant resource, they’d be able to make better decisions, answer any question, and improve their operational efficiency.

Unfortunately, it isn’t so easy. Organizational knowledge, otherwise known as unstructured data, degrades over time. As the world changes, so too does the business and the content needed to support it. Files and documents go out of date, become inaccurate and irrelevant over time. This process is called data entropy and every organization experiences it.

[ Key statistics ]

Unstructured data quality risks

The statistics around the quality of organizational
knowledge are shocking.

67%
of company files have at least one inaccuracy
22%
of company files are out-of-date
33%
of company files have partial duplication
82%
of company files have at least one major risk
[ Key statistics ]

Overall, 82% of files have at least one major risk

And both people and bots are consuming these files everyday; using them to answer both internal and customer questions.

About Us: image 1
[ The solution ]

Unstructured data and knowledge management in the age of GenAI

Today, business and IT leaders are facing immense pressure to deliver GenAI impact, but, unstructured data quality issues are holding them back. Unstructured data is the fuel of the AI economy yet, this fuel is unrefined and dirty. Without a process of refining and cleaning this data, it is unusable at best, and dangerous at worst. Feeding low quality unstructured data into GenAI generates hallucinations and inaccurate answers that can cause harm to the business rather than enabling it to thrive.

Shelf has a long history of working with organizational knowledge. The founding team has over 40 years of experience in knowledge management and unstructured data. The company was founded in 2017 with the mission to empower humanity with better answers everywhere. Since 2017 we have processed:

About Us: image 2
Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner Shelf partner
[ The ultimate IT tool ]

We have processed:

> 100 million

pieces of content

> 10 million

gigabytes of data

> 10 billion

events on the Shelf platform

[ Resources ]

New resources from Shelf

Get more resources
Resources

5 Point Strategy Guide to Prevent MS Copilot Hallucinations and Bad Answers

This guide designed to help teams working on GenAI Initiatives gives you five actionable strategies for RAG pipeline that will improve answer quality and prevent hallucinations.

Resources

IT Survey on 2025 Outlook: The State of Enterprise GenAI and Unstructured Data

How to build ethical, fair, and trustworthy GenAI solutions free of bias and toxicity.

Resources

Rethinking KM in the Age of GenAI

Watch this on-demand webinar produced by KMWorld

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