ResearchGPT automates end-to-end academic research workflows by integrating paper retrieval, PDF parsing, NLP-based text extraction, and GPT-4 powered summarization. Starting with a user-defined research topic, it queries Semantic Scholar and arXiv APIs to gather relevant papers, downloads and parses PDF content, and employs GPT-4 to distill key concepts, methodologies, and results. The agent compiles individual paper insights into a cohesive, structured report, supporting exports in Markdown or PDF formats. Advanced configuration options allow users to tailor search filters, define custom summarization prompts, and adjust output styles. By orchestrating these steps, ResearchGPT reduces manual effort, accelerates literature reviews, and ensures comprehensive coverage of academic sources.

BioBrain is a cutting-edge market research platform designed to deliver high-quality insights through hyperautomated workflows and impeccable data quality. By uniting rigorous methodologies, global sample supply, and advanced technology, BioBrain ensures reliable and actionable market research data. The platform offers real-time analytics, versatile research modules, and an integrated AI-driven engine, making it ideal for various studies such as consumer behavior, product development, and concept testing. BioBrain’s automation capabilities streamline survey programming, data validation, and statistical analysis, enabling users to achieve faster and more accurate results. This makes BioBrain a robust and efficient solution for market research professionals seeking to gain deep insights and make strategic decisions.

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.