From human behavior data
to virtual humans
to trusted clinical intelligence
MindCODE unifies multimodal data across genes, brain, behavior, symptoms, and society — then turns it into governed digital twins, clinician-facing intelligence, and auditable AI workflows.
Core Capabilities
One Platform, Three Flagship Capabilities
Architecture
One Platform, Three Flagship Capabilities
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.
Ingestion
Ingestion and Standards
FHIR R4, HL7 v2, DICOM, BIDS, devices, questionnaires, notes, and research exports. A standards-first ingestion layer that normalizes multimodal health and behavior data before it enters the platform.
Data
Human Behavior Data Cloud
Canonical event graph, longitudinal subject record, feature factory, cohort layer, and governed access. The computational core that makes interacting layers of human behavior data coherent and queryable.
Runtime
Trusted Agent and Twin Runtime
LLM routing, tool orchestration, simulation workflows, evidence linking, approval gates, and audit logs. The execution layer where AI agents and behavior twins operate under governed constraints.
Applications
Application Suites
Virtual Human, Clinical Intelligence, Research Intelligence, Engineering and Automation. Domain-specific applications that deliver value to clinicians, researchers, and engineering teams on top of the governed stack.
Trust
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.
Flagship Use Cases
Why MindCODE Exists
Most AI platforms optimize for speed and generality. MindCODE optimizes for trust, longitudinal behavior modeling, and operational accountability in settings where evidence, provenance, and human review matter.
Mental Health Assessment & Longitudinal Monitoring
Combine structured scales, clinician notes, behavioral markers, and treatment history into a report that is ready for clinical review. Track patient trajectories over time with change detection and evidence-linked summaries.
Virtual Human Generation
Build governed behavior twins for clinician and researcher workflows. Aggregate longitudinal, multimodal data into a computational representation of a person's evolving behavioral and clinical state.
rTMS Protocol Planning Support
Use response history and comparable cohorts to support protocol planning with rationale rather than opaque scoring. Frame the output as support for clinician decision-making, not autonomous treatment control.
Clinical Research & Cohort Intelligence
Enable cohort management, pre-registered analysis flows, publication-ready figures, and exportable evidence chains from collection to result. Build simulation-ready subject profiles for stratification and endpoint analysis.
Auditable Engineering Automation
Generate code, documentation, and engineering artifacts with provenance, policy checks, and approval controls built in from the start. Context-aware generation with trace IDs, reproducibility, and integrated review flows.
Use Cases
How Teams Use MindCODE
From clinical care to software engineering to academic research — MindCODE adapts to the workflows your team already uses, adding trust and auditability at every step.
AI-Assisted Clinical Workflow
For psychiatrists, psychologists, and clinical staff
A rTMS clinic manages 200+ patients across multiple treatment protocols. Clinicians need to track treatment response patterns, identify non-responders early, and optimize stimulation parameters for individual patients.
Patient Data Ingestion
EHR records, PHQ-9/GAD-7 scores, and rTMS session logs flow into MindCODE Data Cloud via automated FHIR R4 pipelines.
Multi-Modal Assessment
AI combines structured scales, clinician notes, and treatment session data into a comprehensive assessment profile.
Treatment Optimization
rTMS optimization engine analyzes response patterns and suggests protocol adjustments with confidence indicators.
Longitudinal Monitoring
Automated alerts notify clinicians when change-point detection identifies statistically significant shifts in patient trajectories.
Outcome
Clinicians reduce time-to-response identification by focusing on data-driven insights rather than manual chart reviews. Treatment protocols improve through continuous optimization based on real-world outcome data.
Trust & Compliance
Enterprise-Grade Trust by Default
In regulated industries, trust isn't a feature — it's the foundation. MindCODE builds compliance into every layer so you can focus on outcomes, not audits.
HIPAA-Ready Architecture
Not an afterthought — HIPAA compliance is built into every layer. PHI handling follows minimum necessary principles. Encryption at rest (AES-256) and in transit (TLS 1.3). BAA-ready infrastructure with documented security controls.
Complete Audit Trail
Every data access, model invocation, agent decision, and code generation is logged with immutable timestamps. Audit logs are tamper-evident and exportable in standard formats for regulatory review.
Human-in-the-Loop Controls
Configurable approval gates let you decide which AI actions require human review. Critical clinical decisions always surface for clinician confirmation. Engineering outputs can require code review before commit.
Confidence & Uncertainty
AI outputs include calibrated confidence scores and uncertainty quantification. The system surfaces when it doesn't know — enabling clinicians and engineers to make informed decisions about when to trust AI recommendations.
Regulatory Framework Awareness
Workflows designed with awareness of FDA guidance on clinical decision support, HIPAA Privacy and Security Rules, SOC 2 trust principles, and HITRUST CSF. Compliance reports map controls to specific regulatory requirements.
Data Sovereignty & Residency
Full control over where your data lives and who can access it. Configure data residency by jurisdiction. Set retention policies per data type. Enforce access policies that align with your organization's governance framework.
Technology
Built on Open Standards
MindCODE is built on established healthcare and engineering standards — not proprietary lock-in. Interoperable, extensible, and designed to fit into your existing technology stack.
Data & Interoperability
FHIR R4
Healthcare data interoperability standard
HL7 v2
Legacy clinical messaging support
DICOM
Medical imaging data integration
CDA/C-CDA
Clinical document architecture
AI & Machine Learning
Multi-LLM Routing
Best model for each task
RAG Pipelines
Retrieval-augmented generation
NLP Clinical
Medical NLP for clinical notes
Time Series Analysis
Patient trajectory modeling
Security & Compliance
AES-256 / TLS 1.3
Encryption at rest and in transit
Zero-Trust RBAC
Role-based access everywhere
Immutable Audit Logs
Tamper-evident event logging
BAA Infrastructure
Business associate agreement ready
Developer Experience
REST & GraphQL APIs
Flexible integration patterns
Python / TS / Go SDKs
Native language support
Webhook Events
Real-time event notifications
OpenAPI Specs
Auto-generated API documentation
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