Clear pricing for products, data and models.

mintHealth is priced per surgical center. Synthetic datasets and dedicated ML models — for healthcare, finance and other regulated sectors — follow the packages below. Every engagement starts with a free scoping call and an NDA from day one.

mintHealth

Priced per surgical center, based on case volume and integrations. Includes onboarding, integration with your EHR and purchasing channels, and support.

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Synthetic data packages

From a free demo dataset to a fully licensed, audit-ready data environment.

Starter

Free

Demo access · no card required

For teams evaluating synthetic data quality before committing.

  • Single-table dataset up to 10k rows
  • Core correlations preserved
  • Reproducibility seed included
  • Basic metadata documentation
  • Secure delivery + 7-day support
Get started

Behavioural package

Starting from$2,000

Per dataset · scope-dependent

Realistic behaviour simulation — patients and care pathways, or customers and transactions.

  • Multi-table datasets (e.g. patients, encounters, claims — or clients, accounts, transactions)
  • Behavioural logic + advanced correlations
  • Domain rules for healthcare, banking, lending or payments
  • Full technical documentation
  • Validation summary + 14-day support
Get started

Enterprise suite

Starting from$15,000

Custom licence · scope-dependent

For institutions that need multi-year, scenario-driven, audit-ready data environments.

  • Large multi-entity datasets — 1M+ rows
  • Time-series and full lifecycle simulation
  • Institution-specific constraints and logic
  • Audit-ready documentation package
  • NDA process + dedicated support channel
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Dedicated ML models, built and maintained by us

For organisations that need models aligned with their own clinical, operational or risk logic — designed, validated and kept current by our team.

One-time setup

$12,000

Discovery → build → deploy

Ongoing support

$4,000

Per month · validation, updates and monitoring

Core engineering

Custom model design

Built for your use case — clinical risk, demand forecasting, credit scoring or portfolio modelling — from scratch.

Synthetic training environments

Training on institution-specific synthetic datasets, with no personal data exposed.

Adaptive model logic

The model evolves as your portfolio, products or regulations change.

Scenario-aware stress testing

Validated across stress, conservative and market-driven conditions before production.

Lifecycle and support

Ongoing validation and monitoring

Continuous performance tracking and validation reports on an agreed cadence.

Full technical documentation

Model cards covering structure, assumptions and limitations (SR 11-7 aligned for finance).

Priority model updates

Fast-track handling for updates, new model requests and regulatory changes.

Dedicated collaboration channel

Direct access via email, Slack or Teams — no ticket queues.

Every engagement starts with a free scoping call.

NDA from day one. No commitment to proceed.