Data & Intelligence

Every Interaction Becomes Intelligence

We're building the most comprehensive dataset on psychedelic-assisted therapy outcomes in the world. Every biosensor reading, every clinical observation, every long-term follow-up feeds an AI system that makes the next person's healing more precise than the last.

4 Data Dimensions
2.4M+ Data Points per Guest
12-Month Outcome Tracking

Most retreats measure success by satisfaction surveys.

We measure it by what actually changed, and prove it.

The Data Corpus

Four Dimensions of Understanding

Each guest's journey generates a rich, multi-dimensional dataset. Together, these layers create the most complete picture of psychedelic-assisted therapy outcomes ever assembled.

Biometric Streams

Continuous physiological data captured through medical-grade wearables during every phase of treatment.

~2.4M data points per guest
Heart rate variability (HRV)
Electrodermal activity (stress response)
Sleep architecture & REM patterns
Blood oxygen & respiratory rate
Core body temperature fluctuation
Movement & activity patterns

Psychological & Behavioral

Structured and unstructured data from clinical assessments, therapy sessions, and behavioral observation.

~180 structured assessments per guest
Pre/post psychometric assessments (PHQ-9, GAD-7, PCL-5, ASI)
Therapist session notes & clinical observations
Guided journaling entries & sentiment patterns
Behavioral pattern tracking (sleep, appetite, social)
Self-reported mood & energy daily check-ins
Goal progression & milestone tracking

Treatment & Protocol

Granular records of every treatment administered, every protocol adjustment, and the clinical reasoning behind each decision.

~340 clinical data entries per guest
Dosage, timing, and administration details
Real-time treatment response markers
Protocol adaptations & clinical rationale
Adverse event monitoring & resolution
Bio-optimization interventions (NAD+, IV, HBOT)
Integration session progression

Outcomes & Longitudinal

The most valuable layer: long-term follow-up data that reveals what actually works, for whom, and why.

Tracked for 12+ months post-treatment
30/60/90/180/365-day outcome assessments
Relapse events & early warning indicators
Quality of life trajectory tracking
Return-to-function metrics (work, relationships)
Medication changes post-treatment
Self-reported transformation narratives

Neural Evidence

Seeing Transformation in the Brain

Beyond self-reported outcomes, we capture objective neural evidence of change. Four scanning modalities produce a brain map that shows transformation at the biological level.

4

Scanning Modalities

340+

Neural Data Points per Guest/Session

72hr

Continuous Capture During Peak Treatment

0

Competitors at Scale

qEEG

19-Channel Electrical Brain Mapping

Alpha/beta/theta/delta/gamma power distribution
Default Mode Network (DMN) connectivity patterns
Frontal alpha asymmetry (approach vs. withdrawal)

fNIRS

Non-Invasive Optical Brain Imaging

Prefrontal cortex activation mapping
Real-time neural response during treatment sessions

Heart-Brain Coherence

HRV-EEG Coupling Analysis

Autonomic nervous system rebalancing metrics
Stress recovery trajectory modeling

Neuroplasticity Biomarkers

Blood-Based Panels

BDNF levels (brain-derived neurotrophic factor)
Cortisol and inflammatory marker panels
Molecular proof of brain restructuring

Data Synthesis

From Raw Signals to Unified Brain Map

qEEG

19-Channel Electrical Brain Mapping

fNIRS

Non-Invasive Optical Brain Imaging

Heart-Brain Coherence

HRV-EEG Coupling Analysis

Neuroplasticity Biomarkers

Blood-Based Panels

Unified Brain Map

340+ data points synthesized

Measurable Neural Changes

Before & After: What the Brain Maps Show

Before

DMN hyperconnectivity

After

Normalized connectivity

Before

Prefrontal-amygdala disconnect

After

Restored connectivity

Before

Rigid brain entropy

After

Increased flexibility

Before

Right-shifted frontal alpha

After

Left-shifted (approach motivation)

Competitive Moat

A Dataset That Cannot Be Replicated

Every brain map we capture expands a proprietary neural dataset that no competitor can shortcut. Time is the ingredient that cannot be purchased. By the time a competitor begins scanning, our models will have years of structured neural data powering better predictions and better outcomes.

~650

Year 1

brain maps

~2,000

Year 3

scans (publishable evidence)

$0

Replication cost

for competitors starting now

5+

Head start

years of structured neural data

Compounding Intelligence

The Learning Flywheel

Data doesn't sit in a warehouse. It enters a continuous cycle of learning that makes every subsequent treatment more effective than the last.

01

Collect

Every guest interaction generates structured, high-fidelity data across biometric, psychological, treatment, and outcome dimensions.

02

Learn

AI models identify patterns invisible to human analysis, correlating thousands of variables across hundreds of guests to surface non-obvious insights.

03

Improve

Insights feed back into protocols, personalization engines, and clinical training. Each cycle makes treatment more precise, integration more effective, outcomes more predictable.

04

Compound

More guests produce more data. More data produces better models. Better models produce better outcomes. Better outcomes attract more guests. The flywheel accelerates.

Guest 500 receives meaningfully better care than Guest 1, automatically

AI Applications

What the Data Enables

Raw data is just noise. Intelligence is what you do with it. Here's how our AI platform transforms data into better outcomes.

Predictive Treatment Matching

Which protocol variant will work best for this specific person? The AI correlates intake profiles with outcome data from hundreds of prior guests to recommend the highest-probability treatment path, before the first session begins.

Expected to improve first-treatment response rates by 20-30%

Early Risk Detection

Subtle biometric and behavioral shifts often precede a crisis by 48-72 hours. Pattern recognition across the data corpus identifies at-risk guests before they self-identify, enabling proactive clinical intervention instead of reactive crisis management.

Continuous monitoring across 6+ signal streams

Adaptive Protocol Optimization

Treatment protocols aren't static documents. They're living systems. As outcome data accumulates, the AI identifies which protocol variations produce the strongest results for specific patient profiles, and surfaces refinement recommendations to the clinical team.

Protocols refined continuously against real outcomes

Integration Intelligence

The 12-month integration period generates the most actionable data. AI identifies which aftercare patterns correlate with sustained recovery, then personalizes each guest's integration protocol to maximize their specific probability of lasting change.

Personalized 12-month aftercare driven by outcome data

Operational Intelligence

Beyond clinical outcomes, the data platform optimizes operations. Staffing patterns, supply forecasting, capacity planning, and guest satisfaction signals feed a management dashboard that turns intuition into evidence-based decisions.

Data-driven operational decision-making

Research & Evidence Building

Every consenting guest contributes to the largest structured dataset on psychedelic-assisted therapy outcomes in the world. Anonymized, aggregated data supports clinical publications, regulatory submissions, and the scientific legitimacy of the entire field.

Building the evidence base for the industry

Trust & Governance

The Most Sensitive Data Deserves the Strongest Protection

Medical and psychological data is the most intimate information a person can share. Our data governance framework reflects the gravity of that trust. Every system is HIPAA-compliant. Every guest controls their data. And every research contribution is fully anonymized and opt-in.

HIPAA-compliant infrastructure with end-to-end encryption
Granular consent: guests control what data is used and how
Anonymization pipeline for research contributions
Regular third-party security audits
Data retention policies aligned with medical best practices
Ethics board oversight for AI model governance

HIPAA

Compliant

From day one

256-bit

Encryption

End-to-end

Opt-In

Research

Guest-controlled

Annual

Security Audits

Third-party

Strategic Asset

Data Is the Moat

Competitors can replicate a facility. They can hire similar staff. They can even adopt similar protocols. What they cannot replicate is years of structured outcome data and the AI models trained on it. With every guest, the data advantage compounds, creating a defensible, widening moat.

Proprietary outcome dataset grows with every guest
AI models improve continuously, with no reset possible
Evidence base supports regulatory and partnership leverage
Data-driven protocols become the industry standard

Year 1

~650 guests

Initial dataset

Year 3

~2,000 guests

Statistical power

Year 5

~3,500 guests

Publishable evidence

Scale

10,000+

Multi-site corpus

See the Platform That Powers It

Data collection is one layer of the technology ecosystem. See how every system works together.