Ottogrid AI Agent Browser is designed to enhance web research by utilizing AI to automate information retrieval from multiple sources. It empowers users to enter queries and quickly gather relevant data from different web pages, helping them save time and improve accuracy in their research efforts. With its intuitive interface and powerful algorithms, Ottogrid simplifies the process of navigating the vast information landscape online.

CrewAI Gemini Stock Analyser serves as an intelligent assistant for stock market analysis. It connects to financial APIs to pull real-time and historical stock prices, calculates indicators like moving averages and RSI, and scrapes news headlines for sentiment scoring. Leveraging the Google Gemini LLM, it synthesizes quantitative metrics and qualitative sentiment into clear, actionable reports. Users can interact via prompts, request specific analyses, and receive predictive insights powered by the agent’s understanding of market trends, helping streamline decision support for investments and research.

IRIS (Interactive Research Ideation System) is an AI-driven assistant that empowers researchers to rapidly prototype study ideas. Users input a research topic or domain, and IRIS produces tailored research questions, identifies key concepts, synthesizes relevant literature abstracts, and suggests experimental designs or methodological approaches. It organizes these insights into customizable workflows, supporting hypothesis development, data collection planning, and result interpretation frameworks. Through iterative chatting, IRIS refines outputs based on feedback, ensures alignment with research goals, and exports structured reports in formats like PDF, DOCX, or Markdown. By automating repetitive tasks and enhancing creative brainstorming, IRIS accelerates early-stage research across academia, R&D labs, and startups, fostering innovation and reducing time-to-insight.

ResearchRabbit is an innovative AI-based platform aimed at researchers seeking to discover pertinent academic papers effortlessly. Users can input a few key papers, and the tool generates a network of recommended papers based on citation relationships and content similarity. ResearchRabbit continually refines its suggestions, providing a dynamic and evolving dataset tailored to user needs. This tool not only saves researchers time but also presents them with previously overlooked yet highly relevant literature.