Century Health is a health technology company that uses an AI-powered platform to automate the curation and enrichment of fragmented clinical data, creating high-quality real-world evidence to accelerate research and breakthrough treatments for life sciences organizations. Pulse 2.0 interviewed Century Health co-founder and CEO Vish Srivastava to learn more.
Vish Srivastava’s Background
Could you tell me more about your background? Srivastava said:
“I’ve spent more than a decade building healthcare data and software products. Before starting Century Health, I worked at Boston Consulting Group and later at Evidation Health, where I led product for a consumer health platform that reached five million users and helped scale its real-world evidence offerings. My co-founder, Sanjay Hariharan, previously worked at McKinsey’s QuantumBlack group applying machine learning in life sciences. Together, we’re focused on solving one of the biggest bottlenecks in research: access to clean, structured, high-quality clinical data.”
Formation Of The Company
How did the idea for the company come together? Srivastava shared:
“While working in real-world evidence, I saw how slow and expensive it was to collect rich, longitudinal clinical data. Even when the data existed inside EHRs, the process of abstracting and curating it for research was manual and fragmented. We started Century Health to change that. Our mission is to make it simple for providers and researchers to generate research-grade data directly from the EHR using AI, so evidence generation doesn’t hold back drug development.”
Favorite Memory
What has been your favorite memory working for the company so far? Srivastava reflected:
“One of my favorite moments was when we validated our AI model against human chart abstraction and saw a remarkably high level of agreement. It exceeded our expectations and confirmed that AI can reliably perform complex clinical abstraction tasks when trained and guided with the right context. That validation gave us real confidence that this technology can help scale evidence generation across healthcare.”
Core Products
What are the company’s core products and features? Srivastava explained:
“Century Health’s platform creates AI-powered, disease-specific patient registries directly from EHR data. It automates data abstraction, curation, and de-identification to generate structured, analysis-ready datasets for research and pharma partnerships.
Key features:
- AI-Powered Data Abstraction and Curation: Processes both structured EHR fields and unstructured physician notes, reports, and other documents to create clean, research-grade datasets.
- Disease-Specific Registry Network: Builds and maintains registries across therapeutic areas, connecting provider partners into a shared network for research and collaboration.
- Automated De-Identification and Compliance: Ensures privacy and security while enabling scalable data sharing aligned with HIPAA and SOC 2 standards.”
Challenges Faced
Have you faced any challenges in your sector of work recently? Srivastava acknowledged:
“The biggest challenge in this space is the fragmentation of healthcare data. The EHR ecosystem is heterogeneous, brittle, and difficult to work with. Our approach has been to meet providers where they are, adapting to their existing systems rather than requiring new workflows. That flexibility allows us to bring smaller and community-based practices into research networks that historically only included large academic centers.”
Evolution Of The Company’s Technology
How has the company’s technology evolved since launching? Srivastava noted:
“Our technology has evolved from structured data processing to advanced AI-driven abstraction. We now use large language models to identify and extract clinical variables from notes, reports, and other unstructured sources. The system is now being used at scale in partnerships with practices such as Nira Medical, Nimbus Health, Balboa Nephrology, and Memory Treatment Centers.”
Significant Milestones
What have been some of the company’s most significant milestones? Srivastava cited:
“Century Health’s data network now includes millions of patient encounters, representing diverse clinical settings and populations. We’ve expanded from early pilots to active collaborations with multiple pharmaceutical companies, demonstrating that real-world data curated from providers can directly support research and evidence generation.”
Customer Success Stories
Can you share any specific customer success stories? Srivastava highlighted:
“One example is our partnership with Nira Medical, a leading nationwide neurology network. Together, we built a de-identified multiple sclerosis registry covering more than 4,000 patients. Using Century Health’s platform, Nira Medical was able to transform unstructured EHR data into structured, research-ready datasets. What previously took months of manual chart review now happens continuously and automatically, powering both clinical insights and research collaborations with pharma.”
Funding/Revenue
Are you able to discuss funding and/or revenue metrics? Srivastava revealed:
“Century Health has raised $2 million in pre-seed funding from leading healthcare and technology investors. The funding supports the expansion of our provider network, ongoing product development, and deeper collaboration with pharmaceutical partners.”
Total Addressable Market (TAM)
What total addressable market (TAM) size is the company pursuing? Srivastava assessed:
“The real-world data and evidence market is roughly $16 billion today, including data services, technology platforms, and CRO-driven evidence generation. Most spending is still concentrated in claims data, but clinical data derived from the EHR is the fastest-growing and most valuable segment. We’re building to lead in that space where depth and representativeness of data are what matter most.”
Differentiation From The Competition
What differentiates the company from its competition? Srivastava affirmed:
“Century Health takes a disease-specific, bottom-up approach to data curation. While many focus on aggregating data from large health systems, we partner with private practices that represent more diverse, real-world patient populations. Our automation-first model reduces manual abstraction costs and accelerates research timelines. Just as important, we operate like a partner, not a vendor, focused on transparency, speed, and shared outcomes.”
Future Company Goals
What are some of the company’s future goals? Srivastava concluded:
“We’re expanding our disease-specific registry network across therapeutic areas, deepening pharma collaborations, and advancing our AI models to handle even more complex abstraction and harmonization tasks. Our long-term goal is to make real-world clinical data usable and reliable for every researcher, provider, and life sciences partner that wants to accelerate discovery.”
