Confidential • Invitation Only
Signal AI
An AI System for Measuring and Optimizing Biological Aging
Aging is a data problem.
Signal AI measures biological state, models aging trajectories, and identifies optimal interventions with precision.
Measure
High-resolution biomarker data
Model
AI maps biological aging state
Optimize
Targeted biological intervention
Aging is loss of biological signal.
Cells lose communication. Repair signals degrade. Systems drift from optimal function.
Chronic Inflammation
Inflammaging disrupts cellular coordination
Cellular Senescence
Dysfunctional cells accumulate and spread damage
Neurodegeneration
Signal loss in cognitive and neural systems
The signal degrades.
Biological systems lose coherence over time.
Until now, it couldn't be measured.
Signal AI changes that.
Aging can now be modeled.
AI maps biological state using high-resolution biomarker data. What was once invisible is now measurable, trackable, and actionable.
20+
Aging Biomarkers
Measured across inflammatory, metabolic, cognitive, and systemic systems
5
Biological Systems
Inflammatory, senescence, metabolic, neurological, systemic aging
AI
Optimization Layer
Maps trajectory and identifies intervention targets
What Signal AI measures
INFLAMMATORY MARKERS
CRP, IL-6, TNF-α
SENESCENCE MARKERS
p16, p21, SASP Panel
METABOLIC & MITOCHONDRIAL
NAD+ levels, mitochondrial function, metabolic efficiency
COGNITIVE & NEUROLOGICAL
BDNF, cognitive assessment, sleep quality
SYSTEMIC AGING
Telomere length, epigenetic age, physical performance
What can be modeled can be optimized.
Signal AI identifies how to shift biological systems toward youthful function. Each intervention is guided by data. Each outcome refines the model.
Signal AI is a closed-loop system.
Measurement
High-resolution biomarker data across five biological systems
Modeling
AI maps aging state and identifies intervention targets
Execution
Targeted intervention delivers the optimized signal
Signal AI improves with every patient.
Aggregated biomarker data continuously refines the model.
Every patient generates data.
High-resolution biological data is the core asset.
Signal Cohort I
The first real-world deployment of Signal AI.
AI-guided biological intervention using exosomes. Four infusions. Four weeks. Fully measured.
First optimization cycle
01
Pre-Treatment Assessment
Comprehensive biomarker panel establishes biological baseline.
02
Infusion Protocol
Signal AI-guided exosome delivery. 1–2 × 10⁹ EVs per infusion, once per week.
03
Interim Assessment
Biomarker tracking confirms trajectory. AI model updates.
04
Post-Treatment Evaluation
Full biomarker re-measurement. Efficacy quantified. Data feeds the system.
4 Infusions
Once per week
20+ Biomarkers
Measured pre and post
GMP-Produced
Florida SB 1768 compliant
Signal Output
Your Signal
SIGNAL AGE
35
Chronological Age: 40
SIGNAL VELOCITY
0.82×
Aging at 0.82 years per year
Underlying Shifts
CRP ↓ 30–40% — Inflammation
p16 ↓ 40–60% — Senescence
NAD+ ↑ 20–30% — Metabolic function
BDNF ↑ — Cognitive support
Biological execution layer: Exosomes
Cell-derived vesicles that deliver repair signals between cells. Used by Signal AI to implement optimized biological interventions.
AI determines the optimal biological intervention.
Exosomes deliver it.
Signal AI selects the intervention target from each patient's biomarker profile. Exosomes are the delivery mechanism — precise, cell-native, and measurable.
Preclinical Safety
No toxicity concerns. Strong biocompatibility across animal and in vitro studies.
No Serious Adverse Events
Early clinical use shows excellent tolerability.
GMP-Manufactured
Pharmaceutical-grade quality. Florida SB 1768 compliant.
Signal AI is not a therapy. It is the first AI system that can measure and optimize human aging — with real biological execution.