AstroGenesis is an AI research platform designed to transform how astrophysics is done in the era of data-intensive, multi-wavelength and multi-messenger astronomy. Modern astrophysics is entering a regime dominated by massive surveys and heterogeneous observatories. While this unprecedented data abundance promises major breakthroughs, it also creates a growing bottleneck: retrieving, understanding, combining, and modeling data across instruments, wavelengths, and messengers has become increasingly complex, fragmented, and time-consuming.

AstroGenesis was created to address this gap.

What AstroGenesis Is

AstroGenesis is a domain-specific, multi-agent AI research platform that unifies the core components of modern astrophysical research into a single coherent workflow:

• Scientific Literature Understanding
• Multi-Wavelength and Multi-Messenger Data Access and Analysis
• Physics-Based Theoretical Modeling
• Hypothesis Generation and Scientific Ideation
• Reproducible, Traceable Scientific Reasoning

Rather than being a single “chatbot”, AstroGenesis is built as a coordinated system of specialized AI agents, each responsible for a critical part of the research process: literature retrieval and synthesis, data discovery and analysis, theoretical modeling using neural-network surrogates of physical simulations, hypothesis generation, and scientific interpretation. These agents are orchestrated by a central controller that ensures consistency, traceability, and continuity of the scientific workflow.