Century Health Raises $5M Seed to Scale Healthcare AI Infrastructure

Clinical data has quietly become one of the most valuable broken assets in healthcare. Hospitals generate enormous amounts of it. Pharmaceutical companies desperately need it. Researchers spend years trying to organize it. Most of it still sits trapped inside fragmented systems, buried physician notes, incompatible formats, and workflows that feel held together by caffeine and institutional memory. Century Health just raised $5M in Seed funding to attack that problem directly.

The New York-based healthcare AI company announced the round led by Origin Ventures, with participation from InnovateHealth Ventures, 25madison, Next Play Ventures, 2048 Ventures, Alumni Ventures, and strategic angels including Citeline founder Zorba Lieberman. The latest raise brings Century Health to $7M in disclosed funding after its earlier $2M pre-seed round. Century Health focuses on transforming fragmented clinical information into research-grade real-world evidence (RWE) for life sciences organizations. The company says its CHARM clinical abstraction platform has achieved 97% accuracy in clinical data abstraction while growing its specialty provider network 60x year over year.

That combination matters because healthcare is entering a harder phase of the AI economy. The market no longer rewards companies simply for attaching “AI” to old workflows. Investors increasingly want businesses solving expensive operational problems with measurable outcomes. Century Health is positioning itself directly inside one of healthcare’s most painful infrastructure gaps.

What Happened

Century Health’s Seed round arrives during a broader acceleration in healthcare AI infrastructure investing, particularly around systems capable of extracting usable intelligence from unstructured clinical data. The company was founded by Vish Srivastava, Co-Founder and CEO, and Sanjay Hariharan, Co-Founder and CTO. Rather than building another generalized healthcare chatbot or administrative assistant, Century Health focused on the backend layer most companies avoid: clinical abstraction, data structuring, and evidence generation.

That work sounds technical because it is technical. Real-world clinical data rarely arrives clean. Electronic health records contain inconsistent terminology, physician shorthand, PDFs, scanned imaging files, fragmented timelines, and disconnected systems accumulated across decades of healthcare operations. Healthcare likes to market itself as futuristic while still running on infrastructure that occasionally feels one software update away from emotional collapse.

Century Health’s CHARM platform is designed to process and structure fragmented datasets into research-ready evidence usable by pharmaceutical companies, life sciences organizations, and research institutions. The company says the new funding will support expansion of its specialty provider network, deeper life sciences collaborations, and continued development of its healthcare AI infrastructure.

Why Century Health Matters

Healthcare’s real-world evidence market is becoming strategically important because modern drug development increasingly depends on faster access to usable clinical insight. Weak clinical abstraction slows trial design. Inconsistent patient records create evidence gaps. Fragmented datasets delay treatment validation. Pharmaceutical companies spend billions trying to accelerate development timelines while healthcare systems continue generating massive amounts of unusable information.

Century Health is betting that solving the infrastructure layer behind clinical evidence becomes economically unavoidable. That thesis is already gaining traction across disease areas including Alzheimer’s disease, COPD, nephrology, ophthalmology, metabolic disease, immunology, and steatotic liver disease. The company has also established collaborations involving Memory Treatment Centers and the VCU Stravitz-Sanyal Institute for Liver Disease and Metabolic Health.

Those partnerships reinforce where healthcare AI is heading: specialized datasets, longitudinal evidence generation, and infrastructure capable of handling multimodal clinical information at scale. Pharmaceutical companies increasingly rely on RWE datasets not only for research and clinical development, but also for regulatory submissions, reimbursement decisions, and treatment outcome analysis.

The Market Context Around Healthcare AI

Healthcare AI has entered its “prove it” phase. Over the last several years, venture capital aggressively funded companies promising AI-driven transformation across diagnostics, administration, clinical workflows, and patient engagement. The problem is that much of healthcare still struggles with foundational data quality underneath those systems.

An AI model trained on fragmented healthcare data does not magically become insightful. It becomes confidently confused. Healthcare already has enough operational chaos without introducing statistically polished nonsense into clinical decision-making. That reality is shifting investor attention toward infrastructure-focused companies capable of improving underlying data quality before higher-level AI applications are deployed. Century Health fits directly into that shift.

The company’s reported 97% abstraction accuracy matters less as a marketing statistic and more as a signal to pharmaceutical operators, researchers, and healthcare systems trying to reduce costly inefficiencies tied to weak data pipelines. Infrastructure companies rarely generate the loudest headlines during technology booms. They become important later, once markets realize flashy interfaces cannot compensate for broken systems underneath them.

What This Signals

Century Health reflects a broader evolution happening across healthcare AI and enterprise infrastructure markets. The market is becoming less interested in novelty and far more interested in operational precision. That transition changes what gets funded.

Companies solving painful infrastructure constraints now hold strategic advantages over businesses optimizing surface-level convenience. Real-world evidence generation sits directly inside that transition because pharmaceutical development timelines, reimbursement strategies, and clinical research increasingly depend on accurate longitudinal data.

Healthcare is also becoming more specialized. Disease-specific datasets are growing more valuable. Research partnerships are becoming more targeted. Life sciences organizations want cleaner evidence tied to narrower clinical contexts. Century Health is positioning itself directly inside that market shift.

Frequently Asked Questions

What is Century Health?

Century Health is a New York-based healthcare AI company that transforms fragmented clinical data into research-grade real-world evidence for life sciences organizations.

How much funding did Century Health raise?

Century Health raised $5M in Seed funding, bringing its disclosed funding total to $7M.

Who founded Century Health?

Century Health was founded by Vish Srivastava and Sanjay Hariharan.

What does Century Health’s CHARM platform do?

The CHARM platform abstracts and structures unstructured clinical data into usable datasets for healthcare research and evidence generation.

Why is real-world evidence important in healthcare?

Real-world evidence helps pharmaceutical companies, researchers, and healthcare organizations evaluate treatment outcomes using real patient data.

Why are investors funding healthcare AI infrastructure companies?

Investors increasingly favor healthcare AI infrastructure companies because accurate clinical data is essential for scalable AI systems, drug development, and research efficiency.