Products

Product portfolio led by CerviGuard

SmartClover's product portfolio is led by CerviGuard. DataGems supports synthetic-data research workflows, while service capabilities cover permissioned cloud-on-edge deployment and healthcare cybersecurity/resilience.

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Two healthcare AI product directions

Direction 1: Classical analytics products

Imaging and structured-data inferential/predictive analytics for screening, triage support, and follow-up coordination.

Direction 2: Research and communication tools

Tools for prevention communication, qualitative questionnaire design, synthetic-data research, and aggregated insight analysis.

Portfolio Status

Product, research, and service capabilities

Live product

CerviGuard clinical platform

Cervical-screening workflow product with draft MDR Class I self-assessment material and clinician-reviewed AI outputs.

Live research pilot

DataGems synthetic-data workspace

Synthetic-data research workspace for schema drafting, configured generation jobs, peer-level status, and JSON/CSV exports.

Service capability

Permissioned cloud-on-edge deployment

Deployment support for healthcare AI workloads that need tenant boundaries, encryption controls, edge/on-prem execution, and traceable release records.

Service capability

Healthcare cybersecurity and resilience

Security/resilience services for healthcare organizations, delivered with authorized/certified personnel, partner security products, and agentic engineering workflows where scoped.

DataGems features in practice

DataGems helps research and data teams shape synthetic-data workflows, test schemas, track generation jobs, and export reviewable results across distributed environments. We discuss inference configuration, job design, and output review with research and data partners.

Open DataGems

Privacy-centered distributed execution

DataGems supports synthetic-data generation across distributed nodes without relying on a single centralized runtime.

Internal and external inference options

DataGems can use its internal inference path or saved external inference profiles when a scoped research workflow needs a different model.

DataGems dashboard with totals for jobs, records, active runs, and failures.

Dashboard metrics

Operational overview for generated records, running jobs, failure counts, and last job timing.

DataGems generation job form with fields for title, description, instructions, and record count.

Generation job setup

Job drafting flow with schema guidance, instruction fields, and configured generation controls.

DataGems schema output view and peer statistics table for distributed job execution.

Schema output and peer stats

Generated schema payload plus peer-level execution status, result CID tracking, and timestamps.

DataGems sign-in and account creation interface.

Workspace sign-in

Provides basic tenant authenticated access before running distributed synthetic-data generation jobs.

Review pricing, buying steps, proof, regulatory context, and trust material before starting qualification.

PricingRFQ-led pricing and packaging structure.How to BuyQualification and onboarding workflow.ProofMilestones, pilots, and evidence timeline.RegulatoryMDR scope and publication-status summary.TrustSecurity, legal, and privacy baselines.