undermind

Defense Situational Awareness Platform integrating multi-domain sensor data for threat detection and tracking

An AI-powered document and knowledge management platform that integrates WeChat Official Accounts and web content, supporting local file processing and personal knowledge storage.

A reverse image search platform that finds similar images, sources, and online usage locations by uploading images.

A research citation analysis platform that identifies supporting, refuting, or merely mentioning relationships between citations and papers.

Cloud-native vector database supporting approximate nearest neighbor search and metadata filtering for massive unstructured data.

Cloud search platform delivering real-time, multilingual, and customizable search results and analytics tools

Ontosight.ai is an advanced AI-driven research intelligence platform designed to streamline data analysis and accelerate knowledge discovery for researchers, students, and professionals. Leveraging a comprehensive biomedical ontology and scientific databases, the platform delivers direct and relevant answers through semantic search and concept mapping. With support for real-time customizable dashboards, it is suitable for a wide range of drug development and scientific research applications, enabling smarter, more efficient insights and collaboration.

Scite revolutionizes scientific research by providing a comprehensive AI-powered platform that goes beyond tracking citations to analyzing their context, revealing whether they support, contrast, or merely mention a paper. Drawing on a database of over 1.2 billion citation statements and 187 million full-text articles, Scite helps researchers, scholars, and professionals efficiently assess the credibility and impact of scientific findings. Its AI Assistant enhances research efficiency by delivering evidence-based answers and facilitating literature discovery, while tools like Reference Check improve manuscript quality by verifying citations and detecting editorial issues.

Keymate.AI is an intelligent assistant that enhances information retrieval and research efficiency by integrating real-time web search, multi-format document management, and a personalized memory system. It supports in-depth academic research, professional data discovery, and learning assistance, enabling users to query diverse sources—including PDFs, webpages, Google Docs, and YouTube videos—within a unified interface. With features such as hallucination detection, automation of repetitive tasks, and a large context window, Keymate.AI delivers accurate, real-time, and context-aware answers while securely storing user data in a private memory space.

DeepResearch is an advanced AI research assistant developed by OpenAI, powered by the next-generation o3 model optimized for web browsing, data analysis, and reasoning. It autonomously explores hundreds of online sources—including text, images, and PDFs—synthesizing complex information into professional-grade reports with clear citations. Designed for professionals in finance, science, policy, and engineering, DeepResearch excels at uncovering niche, non-intuitive insights that require multi-layered investigation, while handling diverse data formats. It significantly reduces the time and effort required to complete complex research tasks, typically delivering fully documented results within 5 to 30 minutes.

Wen Xiao Bai is a multifunctional AI assistant platform developed by Metastone Technology, integrating the latest DeepSeek-R1 model and proprietary Metastone models. The platform offers users rapid question-answering, real-time intelligent search, content creation, and logical reasoning capabilities. Available as both a web application and a mobile application, Wen Xiao Bai supports bilingual operation in Chinese and English, making it suitable for a diverse user base. Standing out in the Chinese AI market with its comprehensive features and user experience, the platform provides professional functionalities such as research report generation and social media content creation tools.

Connected Papers is an innovative platform that helps researchers, scholars, and students efficiently explore scientific literature through interactive visual maps. By entering a starting paper, users can generate a network of related research based on citation and similarity data, enabling quick identification of key studies, foundational works, and emerging trends. Powered by Semantic Scholar's extensive database, Connected Papers offers an intuitive and unique approach to navigating academic literature, making literature reviews and research exploration more efficient and in-depth.