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Tell Us What You're Building

Whether you're a mental health clinic, a research institution, a neurostimulation center, or an engineering team in a regulated industry — we'll help you figure out which parts of MindCODE fit your workflow.

How It Works

From First Conversation to Production

We don't do generic demos. Every engagement starts with understanding your specific environment, data, and workflows.

01

Discovery Call

30 min

We learn about your organization, data environment, clinical or engineering workflows, and goals. You tell us what problems you need to solve — we listen.

  • Understand your data sources and formats
  • Identify which MindCODE modules fit your needs
  • Assess integration requirements with existing systems
02

Technical Walkthrough

60 min

A hands-on session where we walk through the platform architecture, show relevant modules in action, and discuss how MindCODE maps to your specific workflows.

  • Live demonstration of relevant product modules
  • Architecture review for your deployment model
  • Data ingestion and governance walkthrough
03

Proof of Concept

2–4 weeks

We work with your team to connect a subset of your data, configure the relevant modules, and validate that MindCODE delivers value in your environment before any commitment.

  • Connect to your data sources (EHR, wearables, research databases)
  • Configure assessment scales, cohort rules, or coding standards
  • Validate governance, audit trails, and compliance controls
04

Production Deployment

Ongoing

Full deployment with your chosen deployment model (cloud managed, dedicated tenant, or on-premise). Includes training, integration support, and dedicated customer success.

  • Full platform deployment with your configuration
  • Staff training and onboarding workshops
  • Ongoing optimization and support

Start a Conversation

Email us with a brief description of your organization, your current data environment, and what you're trying to accomplish. We'll respond within 24 hours with next steps.

What to Include

  • Your organization type (clinic, research group, engineering team)
  • Current data sources (EHR system, wearables, imaging, etc.)
  • The primary problem you want to solve
  • Timeline and deployment preferences
General inquiries: within 24h·Sales & demos: within 4h·Technical support: within 2h (SLA)

Headquarters

Address

1021 E Lincolnway Suite #5670

Cheyenne, Wyoming 82001

United States

Entity

MindCODE LLC · Wyoming, USA · Founded 2024

Deployment Consultation

Not sure which deployment model fits your organization? We offer free deployment consultations to help you evaluate cloud managed, dedicated tenant, on-premise, and air-gapped options against your compliance and operational requirements.

FAQ

Common Questions

What does a typical deployment timeline look like?

Discovery and walkthrough take 1–2 weeks. A proof of concept with your data typically runs 2–4 weeks. Full production deployment depends on your environment: cloud managed deployments can be live in days, dedicated tenant in 2–4 weeks, on-premise in 4–8 weeks.

What data sources can MindCODE ingest?

MindCODE ingests from EHR systems (via FHIR R4 and HL7 v2), medical imaging (DICOM, BIDS), wearable and IoT devices, clinical scales and questionnaires, research databases (REDCap, CSV, Parquet), and free-text clinical notes. The ingestion layer normalizes everything into a canonical longitudinal record.

How does MindCODE handle compliance?

Compliance is built into every layer. Data is encrypted at rest (AES-256) and in transit (TLS 1.3). Access is controlled through role-based policies with immutable audit logging. We provide BAA agreements for healthcare customers. The platform is designed for HIPAA readiness, with SOC 2 and HITRUST CSF controls in progress.

Can MindCODE integrate with our existing EHR system?

Yes. MindCODE connects to EHR systems through standard FHIR R4 APIs. For systems that don't support FHIR natively, we provide HL7 v2 adapters and custom integration pipelines. The ingestion layer handles format normalization, deduplication, and quality checks automatically.

What deployment models are available?

Four options: cloud managed (multi-tenant, fastest to deploy), dedicated tenant (isolated infrastructure, single-tenant), on-premise (runs in your data center), and air-gapped (fully disconnected, for the most sensitive environments). All models provide the same governance and audit capabilities.

Is MindCODE model-agnostic?

Yes. The Trusted Agent Runtime supports all major foundation model providers (OpenAI, Anthropic, Google, open-source models) and custom fine-tuned models. Smart routing selects the optimal model for each task based on cost, latency, capability, and compliance policy. You are never locked into a single provider.

What does pricing look like?

Pricing depends on your deployment model, data volume, number of users, and which product modules you need. We offer flexible plans for clinics, research groups, and enterprise engineering teams. Contact us for a detailed quote based on your specific requirements.

Do you offer training and onboarding?

Yes. Every deployment includes structured onboarding: platform walkthrough for administrators, workflow training for end users (clinicians, researchers, or developers), and best-practice playbooks. Ongoing support and optimization reviews are included in enterprise plans.