Skip to content

Latest commit

 

History

History
57 lines (36 loc) · 2.63 KB

File metadata and controls

57 lines (36 loc) · 2.63 KB

SmartCloverAI

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.

Mission

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

What We Build

  • 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.

Public Proof

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

Working With SmartCloverAI

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

Contributing

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

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