Function & Perplexity Health Roll Out AI Connector to Turn Health Data into Personalized Insights

Both Function and Perplexity have emphasized encrypted data handling, opt-in access, and compliance with established healthcare standards such as HIPAA and FHIR protocols.

Function, a Texas-based healthtech startup, has partnered with Perplexity Health to introduce an AI connector that integrates lab results and clinical summaries, enabling users to access personalized, data-driven health insights within a unified platform.

The integration has been designed to transform fragmented medical data into structured, personalized insights that support informed health decisions.

Founded in 2022, the startup has focused on comprehensive health testing and analytics, aiming to give individuals more control over their medical information.

Meanwhile, Perplexity Health has been expanding its AI ecosystem with integrations across wearable devices, electronic health records, and consumer health platforms, reflecting a wider industry shift toward connected, patient-centric care.

At the core of the collaboration is the ability to aggregate diverse datasets, ranging from diagnostic reports to activity tracking, into a cohesive system. This allows the AI platform to generate context-aware responses tailored to individual health profiles.

Jonathan Swerdlin, CEO of Function, described the initiative as the creation of a “new intelligence layer,” noting that it turns fragmented data into precise health answers.

Both Function and Perplexity have emphasized encrypted data handling, opt-in access, and compliance with established healthcare standards such as HIPAA and FHIR protocols.

Users retain control over their data, including the ability to revoke access, while the information is not used to train AI models, an approach aimed at addressing ongoing concerns around data misuse.

As more platforms adopt standardized frameworks, the ability to unify information from labs, hospitals, and wearable devices is becoming critical, which the industry observers view as a step toward proactive healthcare, where continuous data analysis can support early intervention and preventive care.

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