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Century Health Raises $5M for CHARM AI Platform to Accelerate Life Sciences Research

by Fred Pennic 05/19/2026 Leave a Comment

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Century Health Raises $5M for CHARM AI Platform to Accelerate Life Sciences Research

What You Should Know

  • Century Health has closed an oversubscribed $5M seed financing round led by Origin Ventures, bringing its total funding to an industry-accelerated position.
  • The platform’s proprietary Century Health Abstraction & Retrieval Model (CHARM) automates the curation of unstructured EHR data (notes, reports, and documentation), achieving a 97% accuracy rate validated against clinical expert judgment.
  • Century Health expanded its specialty provider data network 60x over the past year, capturing deep longitudinal data across complex therapeutic areas, including neurology, nephrology, ophthalmology, and immunology.
  • Multiple “Top 5” global pharmaceutical companies have already deployed Century Health’s abstraction platform to fuel drug discovery and clinical trial design.
  • As public biomedical datasets become exhausted, high-quality, structured real-world clinical records have become a scarce commodity; Century Health is positioning its AI-native infrastructure to fill this critical life sciences gap.

The life sciences industry has officially hit a data wall. Over the past several years, a massive wave of artificial intelligence investment has flowed into drug development, trial design, and patient stratification. However, the publicly available biomedical datasets that trained the initial generation of generative and predictive models have largely been exhausted. Today, the most valuable commodity in biopharma is no longer raw computing power, but a scarce clinical input: high-quality, structured Real-World Evidence (RWE).

While Electronic Health Records (EHRs) contain rich, longitudinal patient information, up to 80% of that data remains entirely locked in unstructured formats—trapped inside unstructured clinical notes, messy pathology reports, and fragmented physician documentation. Historically, extracting this data required extensive, capital-intensive manual chart reviews by human clinicians, creating an operational bottleneck that severely dragged down research velocity.

To eliminate this friction and transform unstructured records into research-ready assets, Century Health has announced an oversubscribed $5 million seed financing round. Led by Origin Ventures, with heavy participation from InnovateHealth Ventures, 25madison, Next Play Ventures, 2048 Ventures, and Alumni Ventures, the capital injection will be used to grow Century Health’s specialized data registries and advance the capabilities of its flagship AI abstraction engine.

CHARM: Achieving Clinical-Grade Accuracy at Scale

Biopharmaceutical sponsors and global regulatory bodies have historically been hesitant to trust automated data extraction due to the risk of algorithmic hallucinations and poor calibration. Century Health has directly dismantled this objection with the Century Health Abstraction & Retrieval Model (CHARM).

CHARM functions as a highly tailored, AI-powered knowledge layer that automates the data identification, extraction, and harmonization process. The system currently operates at a 97% accuracy rate when validated directly against clinical expert judgment—the exact benchmark standard required by pharmaceutical partners for regulatory submissions and market access negotiations.

By scaling this clinical rigor across millions of data points, Century Health converts manual data entry into digital execution at machine speed. Prashant Shukla, Partner at Origin Ventures, emphasized the dual-sided market value of this infrastructure: upstream, it serves as the essential, high-fidelity fuel for disease modeling and patient stratification; downstream, it delivers the definitive real-world evidence required to prove drug safety, differentiate therapies, and win complex payer negotiations.

Capitalizing on a 60x Provider Network Expansion

Founded just two years ago, Century Health has rapidly scaled its underlying data network, booking a massive 60x year-over-year expansion in its provider footprint. The network actively secures proprietary, de-identified clinical registries across high-stakes, data-starved specialties, including:

  • Neurology & Ophthalmology: Tracking complex neurodegenerative progressions and retinal imaging biomarkers.
  • Nephrology & Immunology: Unlocking deep clinical context surrounding chronic kidney disease and systemic autoimmune presentations.
  • Respiratory & Metabolic Health: Mapping longitudinal outcomes to support advanced multi-indication therapeutic pipelines.

This hyper-specialized data structure has caught the immediate attention of the market, landing multiple “Top 5” pharmaceutical companies as active enterprise partners. Vish Srivastava, Co-Founder and CEO of Century Health, noted that by automating previously manual workflows, the company can deliver the speed the life sciences industry aggressively needs alongside the clinical accuracy it strictly demands.

Navigating the EHR Freeze with Vertical Intelligence

Recent data indicates a staggering 40% year-over-year decline in traditional acute care EHR purchasing energy, as hospital systems aggressively freeze spending on legacy core records to reallocate capital toward technologies that deliver an immediate financial return.

Simultaneously, with nearly 80% of healthcare payer and life sciences executives abandoning internal AI engineering in favor of vendor co-development, the industry has clearly signaled its preference. The era of directionless, in-house tech experimentation is over; the era of specialized, vertical automation has arrived.

Century Health is providing the definitive infrastructure for this new era. By establishing a platform that turns unstructured, commoditized EHR text into highly valuable, regulatory-grade real-world evidence, they are delivering a prime example of Return on AI Investment (ROAI™). For the modern healthcare and life sciences executive, the takeaway is absolute: the future belongs to platforms that can turn data fragmentation into operational velocity, shortening the path to discovery and getting life-changing treatments to patients years ahead of schedule.

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