UbikAI operates an AI research studio that integrates over 20 large language models with user-provided documents and external academic sources. The platform enables users to generate context-aware content with precise line-level citations from uploaded PDFs and notes. Specialized AI agents assist with research discovery, content summarization, and grounded text generation, ensuring outputs are directly supported by source material.
Funding
Funding not disclosed
Founders
Product
Problem
Users often struggle to manage and synthesize information from multiple documents, leading to fragmented knowledge bases and inefficient research workflows. This fragmentation hinders deep understanding and the ability to draw connections across diverse sources.
Solution
UbikAI offers an integrated AI platform designed to enhance document interaction and knowledge building. The platform allows users to annotate, highlight, and converse with their documents, creating a personalized and interconnected knowledge base. It features specialized AI agents: Precog for general chat and model selection, Fiig for academic research with citation capabilities, and Aggytha for cross-document analysis. By consolidating documents, references, and AI tools, UbikAI enables users to maintain focus and build credible work grounded in their sources.
Target Audience
The platform targets academics, researchers, students, and professionals who work with extensive documentation and require tools for in-depth analysis, knowledge synthesis, and accurate referencing.
Features
- **Precog Agent:** Features intelligent AI model selection based on prompt analysis and provides conversational interaction with uploaded documents, including PDFs.
- **Fiig Agent:** Specializes in academic research by facilitating source discovery from a repository of over 200 million papers, automating citation generation, and enabling in-document annotation and summarization.
- **Aggytha Agent:** Designed for deep contextual understanding and cross-document analysis, capable of synthesizing insights across multiple files (up to 20) and identifying patterns.
- **Integrated Annotation Tools:** Allows users to highlight key information, add contextual notes, and tag ideas directly within documents.
- **Source Grounding:** Ensures all AI-generated outputs are linked to specific source material, facilitating accurate citation and verification.
- **Private and Secure Environment:** Utilizes models that do not train on user data, protecting sensitive files and research integrity.
- **Cross-Document Synthesis:** Enables users to ask questions and explore connections that span across multiple uploaded documents.
- **Data Visualization:** Offers tools to visualize complex patterns and relationships across research materials.