Our company DNA is knowledge and unstructured data

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 Files and documents go out of date, become inaccurate and irrelevant over time.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.

Unstructured data quality risks

The statistics around the quality of organizational
knowledge are shocking.

94%

of company files have at least one inaccuracy

26%

of company files are out-of-date

33%

of company files have partial duplication

12%

of company files have at least one compliance risk

Overall, 96% 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.

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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