Drug-Target Prediction Engines

Systems that map aging hallmarks to molecular targets across biological pathways.

BACK TO EPOCH VIEW INTERACTIVE VERSION

Knowledge graph-based AI platforms that systematically link the hallmarks of aging (e.g., genomic instability, mitochondrial dysfunction) to druggable molecular targets. These engines accelerate drug discovery by identifying non-obvious connections between aging mechanisms and potential therapeutic compounds, repurposing existing drugs or designing new ones.

TRL

5/9Validated

Impact

5/5

Investment

5/5

Category

Software

Connections

Software

Quantum Drug Discovery

Utilizing quantum computing to model complex molecular interactions for anti-aging drugs with unprecedented accuracy.

Cross-Species Longevity Translation Models

AI systems that translate longevity interventions from model organisms to human therapeutics.

Software

Adaptive Metabolic Orchestration Engines

AI systems that continuously adjust diet, activity, sleep, and therapeutics to keep metabolism in a youthful state.

Software

Generative Biology Models

AI systems that design novel proteins and enzymes for metabolic enhancement not found in nature.

Envisioning is an emerging technology research institute and advisory.

2011 — 2026