Caze DocSense is a GenAI generic document assistant that extracts insights, inferences, and answers from multiple documents across various sources. It supports different types and formats of documents which can be easily fine tuned to build any AI custom inference assistant (docs on business, policies, employee info, financial, inventory, etc). This is one of the core part of Caze AISense which can help to derive intuitive copilots which can help to work with different data from multiple sources (documents or data bases) It can operate on Cloud AI APIs or on local LLMs, ensuring the data security and optimize the cost based on the use case.
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Extracts key information, converts content into vectorized data, and securely stores it for fast, precise retrieval. (works with structured and unstructured data)
Understands queries in context and retrieves the most relevant details to generate accurate, context-aware responses.
Processes various document formats (PDFs, text files, etc.) and easy to extend.
Supports multiple sources of data including files, data base and links (websites and more)
Identifies patterns and key takeaways to provide actionable insights without explicit user prompts.
Delivers clear, well-structured responses by analyzing document context and user queries.
Supports text, images, and other data types for comprehensive document/data analysis.
Can run on Cloud AI APIs and local LLMs, ensuring data privacy while maintaining dependable results
Can run on CPU or GPU, can use Cloud API / LLM or SLMs, can extend with Agentic and MCP integrations. This enables optimization based on the use case
Allows users to fine-tune processing settings and response formats based on specific needs.
Researchers and innovators can use the same to analyse and derive key points based on 100s of research papers, resources and documents. They can summarise, query and prepare write-ups and analysis.
Example: A university researcher analysing trends across 100+ research papers can use Document Copilot to extract key insights from multiple sources within minutes.
Value: Speeds up Literature review by 10x, reducing weeks of manual reading into concise summaries
Various business reports, trends and other inputs can be summarised to derive insights and decision inputs.
Example: A financial analyst reviewing quarterly earnings reports from multiple companies can generate concise summaries without manually reading every page.
Value: Reduces report analysis time from days/hours to minutes, improving decision-making efficiency
Analysis from various sources of information and creating a new document with specific software documentation (APIs, Design, Guides and more)
Example: A software engineer searching for API usage examples across extensive documentation can instantly retrieve relevant details and derive what is needed for his project.
Value: Cuts down troubleshooting time by 50%, helping developers integrate APIs faster.
AI Assistant can interact with the customers or customer support team with more relevant and valuable information based on the inputs on the company, specific topic inputs or product information.
Example: A customer support team can use Document Copilot to quickly retrieve solutions from historical chat logs and FAQs, automating responses.
Value: Reduces response time by 50%, leading to faster resolutions and improved customer satisfaction
Build any data inference tools (some of our tools like BizCon AI, MetPro AI are derived from this Caze DocSense Base) for custom data and provide dependable answers. It can run locally or using cloud AI APIs.
Our collaboration models are flexible and rely on mutual value creation. This enables us to find suitable timeline, costing and deliverable to resolve the customer challenges.
Our industry associations, research and technology engagements make our products and solutions up-to-date to ensure the competency and at the same time, simplified.
We utilize AI and Security research to the best and enhance the capability of our products and solutions. This is natural as we have a dedicated verticals for AI and Security research