Mosaic’s Custom Neural Search Engine Framework Is Revolutionizing Document Search

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Mosaic Data Science, a recognized leader in the AI and machine learning space, recently launched its groundbreaking custom Neural Search Engine framework that can be customized to meet a company’s specific needs and use cases. Leveraging the latest advancements in Large Language Models (LLMs) and GenAI, this revolutionary tool is set to transform the way organizations retrieve information from corporate documents, delivering targeted query results in mere seconds while keeping sensitive information safe and secure behind the organization’s firewalls.

Mosaic Data Science is a premier North American boutique consultancy specializing in machine learning and AI solutions. With a long history of deploying successful, reliable analytics solutions, Mosaic continues to lead the way in providing effective engagement models that help customers derive value from their data.

A New Era in Document Retrieval

The rise of transformer-based NLP architectures and LLMs has opened new doors for intelligent document processing. Mosaic’s custom Neural Search Engine framework stands at the forefront of this innovation, automating the laborious process of retrieving text, image, video, and audio information. This state-of-the-art solution can free up thousands of hours by saving document review time, allowing organizations to focus on value-driven tasks.

Customization Meets Security

Understanding the diverse needs of modern businesses, Mosaic offers a Neural Search Engine that can be tailored to meet a firm’s specific requirements and use cases. More importantly, the framework ensures the highest levels of data security in the AI space today. Organizations can take advantage of the latest LLM innovations securely behind their firewalls without passing any sensitive information back to the algorithm.

Collaboration and Efficiency

“Mosaic’s approach to AI is all about validating and automating decisions to save organizations countless hours,” said Sean Osis, Senior Principal Data Scientist at Mosaic. “Our Neural Search Engine brings the power of cutting-edge LLMs to organizations by integrating search and generative capabilities with enterprise knowledge stores, all while protecting data privacy.”

The company’s world-class data scientists will partner with firms to assess internal requirements, building a fully custom and secure search engine that eliminates the need to search through millions of documents.

Ownership and Value

With hundreds of LLMs to choose from, Mosaic stands out by offering end-customers ownership of the IP from the Neural Search Engine development without charging license fees. “We believe in the substantial value of knowing how, when, and why to use these powerful LLMs to solve practical problems,” said Juan Rebollo, Principal Data Scientist at Mosaic. “We can deliver a Proof of Concept in 10-12 weeks, customizing the tool to your specifications.”