CoChat

CoChat provides a research workspace equipped with AI assistants that help users search, summarize, and create content from over 200 million academic papers indexed across major databases. Users can input research questions or topics, and the AI retrieves relevant papers, extracts key findings, and generates concise summaries. A standout feature is automatic citation verification: the platform cross-references claims against original sources to confirm accuracy, reducing the risk of referencing incorrect or outdated information. CoChat also enables side-by-side comparison of answers from multiple AI models, allowing researchers to evaluate different interpretations and choose the most reliable one. Beyond basic Q&A, CoChat offers interactive artifacts—dynamic documents, tables, dashboards, slides, and reviews—that teams can build together with AI assistance. For example, a marketing team can create a quarterly brief: members collaborate live, edit in real time, and export the final artifact into common formats (PDF, PowerPoint, etc.). These artifacts are not static; they remain editable and can be updated as new research data emerges. The platform supports version history (e.g., “Draft v3”) and role-based access, making it suitable for academic labs, corporate R&D departments, or independent researchers. A key use case is literature review automation. Instead of manually reading hundreds of papers, a user can ask CoChat to identify trends, contradictions, or gaps in a specific field. The AI extracts relevant excerpts and presents them in a structured table, with clickable citations leading back to the original paper. The “Compare answers” feature lets users ask the same question to different AI models (e.g., GPT-4, Claude, or a custom fine-tuned model) and view the resp