Human API

High-Level Overview

Human API is a technology company building a consumer-controlled health data platform that connects, normalizes, and structures data from thousands of sources including hospitals, EHRs, pharmacies, labs, wearables, and fitness apps.[1][2][3] It serves healthcare innovators like insurance companies (e.g., Nationwide, Prudential, John Hancock), digital health startups (e.g., Omada Health, Thrive Global), clinical research organizations, and pharma firms by enabling them to access comprehensive, permissioned health data via a secure, HIPAA-compliant API, solving the fragmentation of health data that hinders innovation and consumer-centric services.[1][2][4] With over 30,000 data connections covering 270 million people, partnerships like Nationwide for faster underwriting, and a $20M+ Series C funding round, Human API demonstrates strong growth momentum in creating health data liquidity controlled by consumers.[3][4]

Origin Story

Human API emerged from the need to "free your health data," as articulated by co-founder and VP of Engineering Ola Wiberg, addressing the challenge of aggregating fragmented data from wearables, apps, sensors, and medical records.[5] Founded around 2014 in the San Francisco Bay Area (headquartered in San Mateo and Redwood City, California), the company was built by engineers focused on consumer-centric solutions, starting with API monitoring to ensure reliability as it scaled to over 7,500 developers.[1][5] Early traction came from enterprise customers in health IT and corporate wellness, evolving into a platform powering Fortune 500 insurers and digital health scale-ups, with pivotal moments like the 2022 Nationwide partnership for automated underwriting and a Series C raise to expand consumer-controlled data ecosystems.[4][5]

Core Differentiators

• Consumer Control and Simplicity: Puts users at the center with a seamless consent interface (like PayPal for health data), allowing easy sharing from 30,000+ connections across medical records, labs, pharmacies, 300+ wearables/apps, while maintaining full control and privacy.[2][3][6]
• Comprehensive Data Normalization: Handles integration, normalization, and structuring of unstructured data from diverse sources (hospitals, HIEs, EHRs) into standardized, actionable formats via RESTful API, reducing IT burden for customers.[1][2][7]
• Developer-Friendly Experience: Quick integration, flexible delivery into existing workflows, and support for enterprises/startups, with over 7,500 developers relying on it for reliable API performance monitored since 2014.[5][8]
• Proven Network and Security: HIPAA-compliant platform with vast coverage (270M+ people), powering use cases from insurance underwriting to clinical trials and personalized care, backed by partnerships with leaders like LexisNexis.[3][4]

Role in the Broader Tech Landscape

Human API rides the trend of health data democratization and liquidity, enabling a shift from siloed, provider-controlled data to consumer-driven access amid rising demand for personalized digital health, real-world evidence in research, and efficient underwriting in insurance.[1][2][4] Timing aligns with post-pandemic acceleration in telehealth, wearables, and AI-driven health apps, where fragmented data has been a bottleneck—market forces like regulatory pushes for patient data portability (e.g., via FHIR standards) and explosive growth in digital therapeutics favor its model.[3][6] It influences the ecosystem by catalyzing innovation for 55 employees' platform serving Fortune 500s and startups, reducing barriers for developers, improving patient engagement/outcomes, and supporting diverse clinical research, positioning it as a key enabler in a $11.6M revenue-generating bridge between personal wellness data and enterprise health solutions.[1][5]

Quick Take & Future Outlook

Human API is poised to expand its "one-stop shop" for health data liquidity, leveraging Series C funding to penetrate pharma, digital health, and global markets while advancing consumer empowerment tools.[4] Trends like AI integration for predictive analytics, broader SDoH data inclusion, and regulatory tailwinds for interoperability will shape its trajectory, potentially scaling connections beyond 30,000 and fueling exponential developer adoption.[3] Its influence may evolve from aggregator to ecosystem orchestrator, accelerating health innovation as fragmented data gives way to unified, human-controlled streams—radically fulfilling its mission to maximize human potential through accessible data.[2]