Knowledge Worker AI Assistants

Content Intelligence empowers organizations to maximize the value of their data by preparing it for intelligent search and conversational AI systems. Ensure that information supporting decision making is accurate, updated, and trusted.

The problem

Enterprise data is vast, dispersed across various content repositories and stored in diverse file formats and document layouts. This fragmentation poses challenges for integrating data into intelligent search and conversational AI solutions. Efforts to unify this data often encounter issues such as conflicting information, outdated content, and suboptimal information extraction outcomes. To fully leverage their stored knowledge, organizations must prioritize data processing methods that ensure the quality and preserve the integrity of data.

The solution

With Content Intelligence you can make sure that knowledge workers are equipped only with accurate and pertinent information to support their tasks effectively.

[ Steps to solution ]

Integrate & Enrich

Content Intelligence simplifies integration processes through its 15 pre-built connectors, allowing teams to seamlessly integrate content from various enterprise data sources into a unified platform. Content Intelligence supports all common enterprise file formats, as well as different data modalities such as images and tables. Maximize the value of your data no matter the source and the type, and without the need for manual information extraction procedures.

Score & clean

Content Intelligence evaluates content quality and flags potential risks like conflicting, outdated, or inaccurate information. Use Content Intelligence scores to enhance content and ensure that data and responses provided by conversational AI contribute to productivity gains and better decision-making.

Connect & Monitor

Content Intelligence adopts an API-first approach and provides thorough developer documentation and SDKs for Python and Javascript, facilitating integration with any VectorDB, Conversational AI, Chatbot, or RAG system. This ensures Content Intelligence easily fits into your GenAI tech stack and enables you to constantly monitor the health of your data as well as integrate and analyze user feedback.

An open architecture to support your evolving knowledge needs
An open architecture to support your evolving knowledge needs
An open architecture to support your evolving knowledge needs
[ Resources ]

New resources from Shelf

Get more 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.


Pioneering GenAI Strategies in Healthcare

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


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”.

[ Get your data ready ]
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