SmartClover builds responsible healthcare AI products, evidence-linked public surfaces, and deployable data systems for teams that need practical delivery, clear governance, and human-in-the-loop workflows.

We focus on healthcare and adjacent high-trust environments where AI needs to be useful, inspectable, and operationally accountable.

Our public work on GitHub reflects that mission:

• clinician-support products rather than black-box automation
• privacy-conscious and sovereignty-aware deployment patterns
• public proof through repositories, live product surfaces, research-linked references, and model artifacts

• CerviGuard
  Cervical image intake, AI analysis, and role-based clinical review workflows for a privacy-oriented pilot environment.

• DataGems
  A synthetic data generation platform for auditable dataset creation, governed AI-data workflows, and product/research delivery.

• SmartClover
  The public SmartClover website and trust-facing communication layer for products, research posture, and company messaging.

• CerviGuardModels
  Model training code and supporting artifacts for the CerviGuard analysis stack.

• SmartClover website: https://smartclover.ro/
• SmartClover contact page: https://smartclover.ro/contact
• CerviGuard public workspace: https://cerviguard.link
• DataGems production app: https://datagems.app
• SmartClover model hub: https://huggingface.co/smartclover

These repositories and public endpoints are the fastest way to understand how SmartClover connects mission, product, and technical execution.

If you are here as a technical collaborator:

• browse the repositories to find the right product, website, or model repo
• read the local repository README and contribution guidance before opening a pull request
• keep pull requests focused, well-described, and validated with the relevant repo checks

If you are here as a buyer, partner, or investor:

• start with the public website and product repositories above
• use the public artifacts to review product direction and technical posture
• reach out through https://smartclover.ro/contact for follow-up

We welcome focused improvements to documentation, product code, model-support code, and public technical artifacts.

Before contributing, read the organization guidance in CONTRIBUTING.md.