Century Health Raises $5M Seed Round as AI Platform Achieves 97% Accuracy in Clinical Data Abstraction
核心洞察
Century Health (搜索) secured a $5 million oversubscribed seed round led by Origin Ventures (搜索) to scale its AI-powered clinical data abstraction platform across pharmaceutical partnerships.
The company's CHARM (搜索) platform achieves 97% accuracy when validated against clinical expert judgment, automating the curation of fragmented electronic health record data for research use.
Century Health (搜索) grew its provider data network 60x over the past year, spanning multiple medical specialties and partnering with several top-five pharmaceutical companies.
Century Health (搜索) announced the completion of an oversubscribed $5 million seed round led by Origin Ventures (搜索), with participation from InnovateHealth Ventures (搜索), 25madison (搜索), Next Play Ventures (搜索), 2048 Ventures (搜索), and Alumni Ventures (搜索). The funding will enable the health technology company to scale collaborations with pharmaceutical partners, expand its specialty provider data network, and advance its AI-powered data curation infrastructure.
The company's Century Health (搜索) Abstraction & Retrieval Model (CHARM (搜索)) has achieved 97% accuracy when validated against clinical expert judgment, the standard pharmaceutical and research partners apply when evaluating data for research and regulatory use. This milestone positions Century Health to address a critical bottleneck in clinical research, where electronic health records contain rich longitudinal patient information that remains largely locked in unstructured formats.
Addressing Clinical Data Challenges
Clinical research has long been constrained by the time and cost of manual data curation. While electronic health records contain valuable information in clinical notes, radiology reports, and physician documentation, much of this data remains inaccessible for research purposes. Century Health (搜索)'s platform automates the data identification and abstraction process, creating high-quality, research-ready datasets from fragmented clinical information.
"Structuring clinical data historically required extensive manual work that can now be automated and scaled, creating unprecedented opportunity for healthcare data infrastructure," said Vish Srivastava, Co-Founder and CEO of Century Health (搜索). "Century Health operates with the speed the life sciences industry needs and the clinical rigor it demands."
Rapid Network Expansion
The company demonstrated significant growth over the past year, expanding its data network 60x to span leading provider groups across neurology, nephrology, ophthalmology, respiratory, metabolic, and immunology specialties. Multiple "Top 5" pharmaceutical companies are among its current partners, reflecting the platform's adoption within the industry's largest organizations.
Strategic angel investors in the round include Zorba Lieberman, founder of Citeline (搜索), and clinicians across nephrology, neurology, and ophthalmology, providing domain expertise alongside financial backing.
Market Opportunity
The wave of AI investment flowing into life sciences has created new demand for proprietary clinical data. As drug developers and AI researchers advance into trial design, patient stratification, and therapeutic development, publicly available datasets that powered earlier biomedical models have largely been exhausted. High-quality, structured real-world clinical records now represent a scarce input for advancing pharmaceutical research.
"Century Health (搜索) is accelerating medical breakthroughs by unlocking real-world clinical data across the entire drug lifecycle, creating a win-win for providers and life sciences companies," said Prashant Shukla, Partner at Origin Ventures (搜索). "Upstream, it's the fuel for AI models driving discovery, disease modeling, and patient stratification; downstream, it's the evidence needed to demonstrate safety and effectiveness, differentiate their drugs, and win payer negotiations."
Future Development
Century Health (搜索) plans to continue expanding its disease-specific registry network, deepen pharmaceutical collaborations, and advance CHARM (搜索)'s capabilities for complex abstraction and data harmonization. The company's vision centers on making real-world clinical data usable and reliable for researchers, providers, and life sciences partners working to shorten the path to discovery and develop better treatments for complex diseases.
The platform eliminates manual data entry while maintaining high standards of patient privacy, partnering with leading academic institutions, healthcare providers, and life sciences organizations to accelerate medical breakthroughs through AI-powered data curation.