Clinikally

Clinikally is a comprehensive telehealth platform that offers board-certified dermatologist video visits alongside AI-powered skin analysis tools and treatment plan algorithms. 

With its curated product marketplace, Clinikally provides patients support throughout the entire treatment process: from the first consultation call to the product purchasing. 

Clinikally puts healthcare-first, equipping dermatologists with advanced AI tools to guide decision making. On the marketfront side of the platform, Clinikally conducts rigorous product vetting to ensure they offer proven, effective products, rather than ones that merely look nice on shelves.

The Problem 

Ripe with misinformation and baseless claims, the skincare industry is tough for consumers to navigate with confidence. Misleading ingredient claims, unrealistic results, and contradictory data can not only waste a consumer’s money, but can also cause adverse reactions– especially in patients with sensitive skin. 

Clinkally was made for health-conscious consumers in India seeking dermatologist-recommended skincare and haircare products with vetted ingredient claims and scientific backing. 

Some of their most active users are 

• Patients with ongoing skin conditions, like eczema

• Younger consumers (millennials and Gen Zers) who prioritize ingredient transparency

• Beauty enthusiasts passionate about accessing the highest quality products that are not available in local markets 

Powered by Sonar Pro & Reasoning 

Clinikally has deployed Sonar Pro and Reasoning as the backbone of its quality-assurance system and automations to support 

1. Scientific Claims Validation: Sonar automatically scans entire product catalogs to identify inaccurate claims, unrealistic result timelines, and questionable ingredients, ensuring all recommendations meet medical standards.

2. Scalable Compliance: The system provides automated flagging and reporting mechanisms that maintain regulatory adherence without manual oversight for every product.

3. Automated Triage: Through connecting Sonar outputs with Python scripts, flagged items are automatically routed to dedicated Slack channels with detailed accuracy assessments, recommended corrections, and priority levels, enabling efficient clinical team review. 

By utilizing Sonar, Clinikally is allowing practitioners to achieve efficiency at scale, reducing clinical review time by 75%, while also mitigating risks and providing robust quality assurance across the product catalog. This implementation demonstrates how AI-powered verification systems can transform healthcare operations, enabling platforms to scale responsibly while maintaining the highest standards of medical accuracy and regulatory compliance.