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: Generative SaaS/PaaS systems

SaaS (including on-edge) products for prophylaxis communication, stakeholder interaction, qualitative questionnaire design, and aggregated insight analysis.

Portfolio Status

Active products and roadmap tracks

Active product

CerviGuard clinical platform

MDR Class I companion-app positioning for cervical-screening workflows, with human-in-the-loop clinical decisions.

Active product

DataGems synthetic-data workspace

Distributed-decentralized synthetic-data application using SLM-first generation with optional external APIs.

Roadmap track

Digital resilience module track

Cybersecurity and operational-resilience modules sequenced after core healthcare-product scaling.

Roadmap track

Creative education module track

EQ-focused generative learning products positioned as phased portfolio expansion.

DataGems features in practice

SmartClover is a significant consumer and procurer of synthetic data for its proprietary products, which led to the establishment of DataGems, a pilot application for distributed-decentralized synthetic data generation, enabling our partners to utilize SLMs, with optional external API integration, to produce high-quality data primarily for domain-specific model training and also for test-data preparation in subsequent systems. SmartClover collaborates closely with partners to establish and execute DataGems generation jobs, operating as the solution architect and producer, while the partner functions as the "live data factory" services provider. Commercial deployment of DataGems is exclusively available to our data creation partners.

Privacy centered distributed-decentralized execution

DataGems allows partners to execute synthetic-data generation processes across distributed nodes, thereby eliminating the reliance on a singular, centralized runtime environment. SmartClover operates as a client utilizing the services offered by our partners through this system, with the partners contributing confidential data and expertise to the DataGems platform.

Low-power low-compute SLM-first generation

The system uses SLMs by default and can integrate external APIs when needed to produce high-quality synthetic data for domain-specific model training and test-data preparation, enabling multiple "live data factory" services providers.

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 advanced 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, How to Buy, Proof, Regulatory, and Trust from one compact section before starting qualification.