Queryfic offers pre-built connectors that enable communication with external systems and data repositories like DMS, CLM, Google Drive, SharePoint, and Confluence. This facilitates smooth integration of Queryfic within your existing ecosystem. Should a ready-made connector not be available, custom connectors can be developed to interface with your proprietary systems.

Queryfic possesses the capability to extract information from scanned contract documents, effectively handling unstructured data formats like scanned documents and images. This functionality enables Queryfic to process and interpret content from these sources, ensuring comprehensive coverage of data inputs regardless of their format or structure.

Queryfic is a GenAI-powered platform designed for document question answering (Q&A), summarization, analysis, and automated content generation. Various use cases are catered to through Queryfic's AI bots. It provides a range of pre-built bots, with one dedicated to contracts. Essential contract functionalities are already integrated, but the platform also offers swift customization for additional features or specific use cases as required.

Queryfic incorporates a trust layer into its architecture to prioritize data security. While leveraging a Large Language Model (LLM) for its GenAI functions, Queryfic ensures that data sent to the LLM is encrypted and anonymized. Specifically, Queryfic opts for Microsoft's Azure OpenAI Service as its preferred LLM provider. Notably, data processed through Azure OpenAI Service is not utilized for model training, although Queryfic remains LLM-agnostic. Additionally, for heightened security, Queryfic offers the flexibility to connect to a locally hosted LLM within the user's security perimeter.

Queryfic utilizes foundation models to power its language capabilities. Additionally, it can undergo training for domain-specific semantics when necessary. This enables Queryfic to incorporate additional context and enhance its understanding for improved comprehension.