Platform Architecture
The platform for governed behavior data, auditable AI, and virtual human runtime.
MindCODE is a modular stack that ingests healthcare and behavior data, standardizes it, computes features and trajectories, runs trusted agents, and delivers clinician-facing and research-facing applications.
How It Works
From Raw Data to Accountable Intelligence
Data flows upward through the stack. Each layer adds structure, intelligence, and governance. Organizations adopt incrementally without rearchitecting their technology stack.
Ingest
Connect clinical and behavioral data sources through standards-first pipelines.
Standardize
Normalize to FHIR R4 with governance, lineage, and quality scoring.
Compute
Build longitudinal records, features, and cohort-level behavioral assets.
Reason
LLM agents and behavior twins operate under governed constraints.
Deliver
Clinician summaries, research analytics, and auditable engineering output.
Standards-First Data Ingestion
FHIR R4, HL7 v2, DICOM, BIDS, devices, questionnaires, notes, and research exports. A normalization layer that accepts multimodal health and behavior data from any source and prepares it for the Data Cloud.
FHIR R4 & HL7 v2
Automatic transformation of heterogeneous clinical data into interoperable FHIR R4 resources with configurable mapping rules.
DICOM & BIDS
Native support for medical imaging and brain imaging standards. Structured metadata extraction and indexing.
Devices & Wearables
Ingest continuous signals from wearables, IoT sensors, and digital phenotype sources with timestamp alignment.
Research Exports
Import from REDCap, CSV, Parquet, and institutional data warehouses with provenance tracking from first contact.
The Governed Behavioral Data Layer
Canonical event graph, longitudinal subject record, feature factory, cohort layer, and governed access. The infrastructure that makes interacting layers of human behavior data computationally coherent.
Longitudinal Subject Records
A time-aware graph that connects visits, sessions, samples, scales, imaging, device signals, and interventions per subject.
Feature Factory
Compute reusable behavioral features, trajectories, digital phenotypes, and cohort benchmarks from raw longitudinal data.
Cohort Layer
Define, query, and compare cohorts across studies, sites, and time periods with governed access and consent-aware workflows.
Governed Access
Project-scoped access, consent-aware workflows, lineage tracking, provenance, and export controls for every data asset.
AI Agents and Behavior Twins Under Governance
LLM routing, tool orchestration, simulation workflows, evidence linking, approval gates, and audit logs. The execution layer where AI agents and the Virtual Human operate inside governed constraints.
LLM Routing
Model-agnostic routing selects the optimal model for each task based on cost, latency, capability, and compliance requirements.
Tool Orchestration
Agents safely execute tools in sandboxed environments with deterministic replay. Every execution is reproducible and auditable.
Evidence Linking
Every agent output links back to the data, reasoning steps, and policies that produced it. Full provenance chain.
Approval Gates
Human-in-the-loop checkpoints for sensitive operations. Configurable policies for when review is required.
Domain-Specific Applications
Virtual Human, Clinical Intelligence, Research Intelligence, and Engineering Automation. Applications that deliver value to clinicians, researchers, and engineering teams on top of the governed data and runtime stack.
Virtual Human
Behavior twin with LLM-powered reasoning for clinician summaries, trajectory modeling, and what-if simulation.
Clinical Intelligence
Multi-modal assessment, longitudinal monitoring, treatment planning support, and research analytics for mental health.
Research Intelligence
Cohort management, pre-registered analysis flows, publication-ready figures, and exportable evidence chains.
Engineering Automation
Auditable code generation, compliance verification, auto-documentation, and CI/CD integration for regulated teams.
Cross-cutting
Trust and Governance Plane
Identity, RBAC, provenance, human review, uncertainty handling, policy enforcement, and deployment controls. A cross-cutting governance layer that touches every level of the stack.
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