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.