Direction 1: Classical Imaging + Structured Data Analytics
CerviGuard is the implementation of SmartClover's classical inferential/predictive healthcare AI direction for diagnosis-support workflows.
CerviGuard is SmartClover's flagship MDR Class I cervical cancer screening companion app for structured intake, AI-assisted analysis, and clinician-led follow-up. It is part of our broader two-direction healthcare AI product strategy spanning the current classical inferential analytics approach as well as our research efforts in the area of generative SaaS systems.
The live pilot at cerviguard.link demonstrates an end-to-end workflow from secure login to AI-assisted case review and follow-up management.

CerviGuard anchors the classical analytics direction while SmartClover's generative SaaS products extend prevention communication and qualitative research capabilities.
CerviGuard is the implementation of SmartClover's classical inferential/predictive healthcare AI direction for diagnosis-support workflows.
SmartClover also focuses on the R&D of generative SaaS systems for primary prophylaxis communication, stakeholder interaction, qualitative questionnaire design, and aggregated-data analysis.
CerviGuard combines product-grade UX, explainable AI outputs, and deployment flexibility for healthcare teams.
Structured case intake, triage prioritization, and follow-up tracking keep screening operations consistent across distributed teams.
CerviGuard is positioned as an MDR Class I cervical cancer screening companion app with transparent confidence outputs and clinician-led decisions.
CerviGuard supports managed SaaS workspaces, private SaaS environments, and PaaS/API-led integrations.
Screens below were captured from the live pilot on February 17, 2026 using a demo account configured with de-identified training and pilot data.






Every stage is structured for operational clarity, transparent signals, and accountable human oversight.
Teams upload de-identified imagery and contextual notes through a secure case-entry workflow.
CerviGuard computes transformation-zone and lesion-class probabilities, then writes traceable metadata.
Clinicians inspect predictions, confidence ranges, and image context before confirming next actions.
Case status and history remain visible for triage queues, escalation, and longitudinal coordination.
SmartClover positions CerviGuard as both a product and platform, enabling rapid adoption while preserving governance and integration control.
SmartClover operates the platform as a managed SaaS product with secured pilot onboarding.
Healthcare organizations can run isolated deployments with residency, policy, and governance controls.
Engineering teams can integrate CerviGuard workflows into broader digital health ecosystems through PaaS interfaces.
Use this section to review Pricing, How to Buy, Proof, Regulatory, and Trust around CerviGuard.
SmartClover can deliver CerviGuard as a managed SaaS workspace, a private deployment, or a PaaS-integrated product track aligned with your healthcare operations.
