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 Files and documents go out of date, become inaccurate and irrelevant over time.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of company files are out-of-date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.

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[ 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:

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[ The ultimate IT tool ]

We have processed:

> 100 million

pieces of content

> 10 million

gigabytes of data

> 10 billion

events on the Shelf platform

[ The solution ]

Our key products

Knowledge and Unstructured Data are complex, unruly, and difficult to manage. With decades of experience in this very specific field, the Shelf team are the world’s leading experts. We provide the tools needed to ensure accurate, compliant, and trusted answers wherever they are needed.

For IT leaders For engineers Learn more
Unstructured data management

We focus on transforming raw unstructured data into a structured format that can be easily analyzed and processed by AI and machine learning models.

For business teams For enterprises Learn more
Knowledge Management

We focus on maximizing the usability and accessibility of information stored in various forms such as documents, emails, and other knowledge assets.

[ Resources ]

New resources from Shelf

Get more resources
Resources

20 Point Checklist to Ensure Your GenAI System Is Free of Bias and Toxicity

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

Resources

Pioneering GenAI Strategies in Healthcare

This guidebook offers actionable insights and practical strategies to harness the power of generative AI in healthcare.

Resources

7 Unexpected Causes of AI Hallucinations

Get an eye-opening look at the surprising factors that can lead even well-trained AI models to produce nonsensical or wildly inaccurate outputs, known as “hallucinations”.

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