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QDox : GenAI powered Document Processing Platform

Unlock the full potential of your document processing and data generation needs with QDox, fueled by the cutting-edge Active Learning AI from Quantiphi. By harnessing the power of Quantiphi's GenAI capabilities, QDox GenAI can seamlessly morph into a dynamic enterprise-grade generative AI platform. This transformation streamlines the integration of generative AI into your document processing workflow, providing you with invaluable tools like LLM-based search, indexing, and active queries.
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About

Beyond our existing AI model workflows for Intelligent Document Processing, QDox has now integrated state-of-the-art, open-source LLMs. These new GenAI capabilities are customized for document processing requirements and use cases, and are now available for preview with QDox. With Bedrock utilizing Anthropic Claude, QDox offers enhanced language understanding and generation, tailored specifically for document-centric tasks.

Generative AI Workbench

Ability to fine-tune and customize LLMs on proprietary, customer data.

Access to LLM model repositories, and 4 existing Open Source models.

Enhanced customization and NLP capabilities through the integration of Bedrock with Anthropic Claude, optimized for document processing.

Intelligent Search (Semantic)

Search across document repositories, harnessing natural language models to understand the meaning and context of a query. Generate a text response, based on the document type, the query and the input parameters.

Ability to cite source references, and specify the document section(s) from which the response was generated.

Conversational Assistant

Document, text or speech summarization.

Context driven question answering and sentiment analysis.

Data Anonymizer & Synthesizer

Ability to anonymize data which can then be shared with 3rd party vendors for activities such as development of dataset to further train task specific models.

By offering a range of developer tools and pre-built components, QDox significantly cuts down Document Processing Costs upto 70% and empowers informed decision-making by understanding and learning from volumes of proprietary documents.

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