Hades Corporation

Cosmos Seeker AI is an autonomous 5-layer multi-agent discovery engine designed to accelerate deep-sky astrophysics across petabytes of optical galaxy survey data (SDSS, DESI, and Rubin LSST). While optical surveys image billions of celestial bodies, the most profound physics—gravitational lenses, colliding galaxy mergers, and rare Voorwerpjes—hide in the extreme 0.01% tail. Manual inspection is impossible, and generic LLMs frequently hallucinate physical parameters. Cosmos Seeker AI solves this with a specialized multi-modal Meta AI fleet: 1. Fast Anomaly Screening (Layer 1): High-throughput feature filtering via Muse Spark 1.1 / Muse Glimmer. 2. Structural Decomposition (Layer 2): Real-time morphology segmentation using Meta SAM 3.1 combined with deterministic non-parametric CAS morphometry (Concentration, Asymmetry, Smoothness). 3. Physical Cosmic Simulation (Layer 3): Local N-body gravitational collision solver (+500 Myr) paired with Muse Wonder 1.0 scene specs and Muse Image 1.0 false-color optical illustrations. 4. Voice Curation (Layer 4): Hands-free audio observing notes transcribed via Muse Voice Transcribe 1.0 into schema-compliant JSON catalog logs. 5. Senior Research Agent (Layer 5): Synthesis of publication-grade dossiers using Muse Spark 1.3 (high reasoning effort, 32k tokens) with adversarial anti-hallucination cross-checking. Validated on Galaxy Zoo 2 testbeds, Cosmos Seeker AI achieves a 5.0x discovery lift over random survey exploration and 100% anomaly precision in top ranks, while strictly enforcing Meta Model API "store: false" scientific data privacy.