Human Behavior Data Cloud
Model human behavior across scales.
MindCODE Data Cloud integrates multimodal data from molecular signals to population behavior, organizes it into governed longitudinal records, and turns it into reusable behavioral assets for clinicians, researchers, and AI systems.
The Challenge
Why behavior needs a new data architecture
Human behavior is not captured by a single note, a single brain scan, or a single score. It emerges from interacting layers: molecular variation, tissue and brain states, physiological rhythms, subjective symptoms, treatment exposure, environmental context, and social structure. The Data Cloud is the infrastructure that makes those layers computationally coherent.
Data Domains
Six layers, one governed namespace
From molecular signals to population-level patterns, the Data Cloud captures and harmonizes every layer of human behavior.
Genetics & Epigenetics
Polygenic risk scores, pharmacogenomic panels, methylation arrays, and variant call files that capture molecular-level variation in behavior.
Cells, Tissue & Pathology
Histology slides, biomarker panels, cerebrospinal fluid assays, and cellular-level signals that bridge molecular variation and organ-level states.
Brain Imaging & Neurophysiology
Structural and functional MRI, EEG, MEG, and electrophysiology recordings that reveal circuit-level dynamics underlying cognition and emotion.
Speech, Video, Wearables & Digital Phenotype
Continuous streams from smartphones, voice biomarkers, facial action units, actigraphy, and passive sensing that quantify behavior in the wild.
Symptoms, Notes, Scales & Interventions
PHQ-9, GAD-7, MADRS, clinician narratives, treatment orders, medication logs, and structured outcomes that document the clinical arc.
Environment, Context & Population Behavior
Geospatial data, social determinants, air quality indices, community-level metrics, and epidemiological indicators that frame individual behavior in context.
Platform Outputs
What the platform creates
Raw data flows in; governed, reusable behavioral assets flow out.
Canonical Longitudinal Records
A time-aware subject graph that connects visits, sessions, samples, scales, imaging, device signals, and interventions into a single coherent timeline per individual.
Behavioral Assets
Reusable features, trajectories, digital phenotypes, cohort benchmarks, and evidence-linked summaries that accelerate downstream research and clinical decision-making.
Governed Access
Project-scoped access, consent-aware workflows, lineage, provenance, and export controls that satisfy institutional review boards and regulatory audits.
For Buyers
What you get
Concrete capabilities and services delivered from day one.
Data Integration & Harmonization Services
Onboard heterogeneous sources into a single governed namespace with automated schema mapping, terminology normalization, and temporal alignment.
Research Workspaces & Cohort Studios
Self-service environments where investigators define cohorts, run exploratory analyses, and export publication-ready datasets with full provenance.
Feature APIs & Export Pipelines
Programmatic access to behavioral features, trajectories, and aggregated phenotypes through versioned APIs and configurable export formats.
Foundation for Virtual Human & Clinical Intelligence
The Data Cloud serves as the substrate for downstream MindCODE modules, providing the governed, multimodal data they need to generate simulations and clinical recommendations.
Ready to Get Started?
Build AI systems you can explain, govern, and trust. Whether you are a clinic, a research group, or a regulated software team, MindCODE gives you the infrastructure to move from fragmented data to accountable intelligence.
Or reach us at service@mindcode.cc