AETERNAS

The Problem: Modern medicine is static. Averaged doses ignore metabolic volatility, creating a "Biological Latency" between pathology and treatment. Current tech tracks data but fails to control biology.
The Solution: Our ASMNet AI (prototyped in PyTorch) treats biology as a non-linear system via:
FI: Context-aware biomarker attention.
CFX: Modeling molecular synergies.
ASM Gating: Real-time adaptive corrections.
The Product: Sub-dermal sensor + AI Engine + Home Molecular Forge for 24h tailored bio-optimization.

MVP/Working Prototype Stage. A unique neural network architecture, ASMNet (Adaptive Scalar Mixer), has been developed and tested. Tabular data benchmarks are provided, confirming its superiority over MLP/XGBoost.

Prototype

1

"Biological Latency" is a critical delay between changes in the body and the start of treatment. Standard pharmacology is ineffective for 40% of the population.

Closed ecosystem: Biosensor + ASMNet AI + Home Molecular Synthesizer. 24/7 health automation.

Apple Health (tracking only), Levels (glucose only), traditional pharma (no personalization).

ASMNet's proprietary architecture allows for the consideration of nonlinear biochemical relationships. Software scalability.

Hardware sales + Consumable cartridge subscription (SaaS/Razor-and-blade model).

Seeking a strategic partner with manufacturing capabilities to scale hardware production

Biohackers, High-performance athletes, Longevity enthusiasts, patients with chronic metabolic disorders.

FDA/Regulatory approval (medical certification), difficulty of miniaturizing the synthesizer.