Trusted AI for Healthcare
& Engineering
From governed healthcare data to auditable AI agents to clinician-facing intelligence. The infrastructure layer that regulated industries demand.
Product Lines
Two Suites. One Trusted Platform.
MindCODE delivers specialized AI solutions across two verticals — clinical healthcare and regulated software engineering — unified by a shared data and agent infrastructure.
Clinical Intelligence Suite
AI infrastructure purpose-built for mental health and clinical care
From multi-modal patient assessment to longitudinal monitoring and rTMS treatment optimization — a complete AI toolkit for clinicians, researchers, and healthcare organizations. Built on governed data with full HIPAA compliance.
Data Cloud
FHIR R4 data standardization and governance
Assessment Engine
Multi-modal clinical evaluation with AI analysis
Longitudinal Monitoring
Patient trajectory tracking with automated alerts
rTMS Optimization
Data-driven treatment protocol optimization
Research Tools
Cohort management and publication-ready analytics
Engineering & Automation Suite
Trusted AI tooling for regulated software teams
Auditable code generation, automated compliance verification, and documentation that stays in sync with your codebase. Purpose-built for engineering teams in healthcare, finance, and other regulated industries where every line of code must be traceable.
Code Agent
AI code generation with full audit trails
Secure Coding
HIPAA, SOC 2, HITRUST compliance checks
Auto Documentation
Always-current docs synced with your codebase
Code Agent API
CI/CD integration with Python, TS, and Go SDKs
Compliance Reports
Automated regulatory verification and reporting
Architecture
Four-Layer Architecture
A modular stack where each layer has a clear responsibility. Data is governed at L1, AI agents are orchestrated at L2, and domain-specific applications run at L3. You can adopt incrementally — start with data governance, add agents when ready, and layer on intelligence applications as your needs grow.
Foundation
MindCODE Data Cloud
The governed data layer that powers everything above it. Ingest clinical data from any source — EHRs, wearables, imaging systems, research databases — and automatically standardize to FHIR R4. Enterprise-grade RBAC, full audit trails, and data sovereignty controls ensure compliance from day one.
Execution
Trusted Agent Platform
The controlled execution layer for all AI workflows. Smart model routing selects the optimal LLM for each task. Tool orchestration runs in sandboxed environments with deterministic replay. Multi-tenant metering tracks usage, costs, and billing across organizations. Every agent decision is logged and auditable.
Clinical Application
Clinical Intelligence Suite
Clinician-facing applications built on the trusted data and agent layers. Multi-modal assessment combines scales, free-text, and sensor data. Longitudinal monitoring tracks patient trajectories with automated alerts. rTMS optimization uses data-driven protocols for treatment planning. Research tools enable cohort management and publication-ready analytics.
Engineering Application
Engineering & Automation Suite
Trusted AI tooling for software teams in regulated industries. Auditable code generation with full provenance tracking. Automated HIPAA, SOC 2, and HITRUST compliance checks baked into the generation pipeline. Auto-documentation stays in sync with code. APIs integrate into existing CI/CD workflows with Python, TypeScript, and Go SDKs.
Core Capabilities
What Makes MindCODE Different
Most AI platforms optimize for speed and generality. We optimize for trust, auditability, and regulatory compliance — the non-negotiables for healthcare and regulated engineering.
Governed Data, Not Just Storage
MindCODE doesn't just store your data — it governs it. Every record has a provenance trail. Every access is logged. Every transformation is auditable. FHIR R4 standardization ensures interoperability across systems, while role-based access controls enforce the principle of least privilege at every layer.
AI Agents You Can Trust
Our agent platform doesn't just run models — it orchestrates them with full accountability. Smart routing picks the right model for each task. Sandboxed execution prevents unintended side effects. Approval gates keep humans in the loop for critical decisions. Every agent step is logged with deterministic replay capability.
Clinical-Grade Intelligence
Purpose-built for healthcare workflows, not retrofitted from general-purpose tools. Our clinical modules understand PHQ-9, GAD-7, and custom scales natively. Longitudinal monitoring detects clinically significant changes before they become critical. rTMS optimization learns from treatment response patterns to improve protocols.
Code Generation That Passes Audit
Every line of AI-generated code comes with full provenance — who requested it, what model generated it, what standards it was verified against. Automated compliance checking for HIPAA, SOC 2, and HITRUST happens before code reaches your repository. Documentation is generated and maintained automatically.
Multi-Tenant by Design
Built for organizations that serve multiple clients, departments, or research studies. Complete data isolation between tenants. Per-tenant usage metering and cost allocation. Configurable access policies per tenant. All running on shared infrastructure for operational efficiency without compromising security.
Research-Ready from Day One
Clinical research requires data integrity that most platforms can't guarantee. MindCODE provides IRB-compliant data exports, automated cohort identification, statistical analysis pipelines, and publication-ready visualizations. Every data point maintains its full provenance chain from collection to publication.
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 Build Trusted AI?
Whether you're a clinician, researcher, or engineering leader — MindCODE gives you the infrastructure to deploy AI you can trust.
Or reach us at hello@mindcode.ai