A Knowledge Engine for Scientific Discovery
Transforming cutting-edge research into accessible AI-powered podcasts and building a comprehensive knowledge graph connecting concepts, papers, and insights across scientific disciplines.
Inspired by the historical Copernicus who challenged accepted knowledge with evidence and rigorous analysis, Copernicus AI aims to expand human knowledge by creating tools that help us verify, generate, and transmit scientific insights. As AI systems become more capable, we build instruments—like the Programming Framework, GLMP, and AI podcasts—that enable humans to explore, understand, and communicate knowledge with the same depth and speed that AI possesses.
Multi-voice AI podcasts (5-10 minutes) synthesizing research papers into engaging conversations. Powered by Google Gemini 2.0 for content and ElevenLabs for realistic voice synthesis.
A meta-tool for process analysis combining LLMs with Mermaid visualization. Universal method for dissecting complex processes across any discipline.
Genome Logic Modeling Project: A specialized "microscope" applying the Programming Framework to visualize biochemical processes as interactive flowcharts.
Centralized repository of scientific literature with AI preprocessing. Extracts key findings, entities, and summaries for reuse across podcasts.
Connects concepts, papers, podcasts, and GLMP visualizations. Enables discovery of cross-disciplinary patterns and semantic search.
YouTube-style interface for creators to prompt, manage, and share podcasts. Browse public catalog or generate custom content.
Each podcast now includes: source papers (DOIs/URLs), extracted keywords, quality scores, GLMP visualization links, and engagement metrics (plays, ratings, shares).
Base URL: https://copernicus-podcast-api-phzp4ie2sq-uc.a.run.app
"I want to know a lot, and I want to be confident that I am learning and disseminating the truth."
As LLMs and other forms of AI gain more knowledge and intelligence, the Copernicus AI project enables humans to keep up with what the AIs are capable of knowing and revealing. We're building the infrastructure for human-AI collaborative knowledge exploration, with truth-seeking as our North Star.