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Open source software that cleans and transforms messy healthcare data.
At Tuva Health, we make open source software that cleans and transforms messy healthcare data. We’re founded by Aaron Neiderhiser and Coco Zuloaga, former senior execs from Health Catalyst and Strive Health. We realized data transformation and data quality is the fundamental problem preventing the healthcare industry from building scalable data products. We launched Tuva and joined the W22 batch of Y Combinator to solve this problem for the entire industry. Since January 1st, we signed our first customer (paying $10k per month) and completed the first major release of the Tuva Project. At Tuva, our goal is to (1) become the open standard for healthcare data transformation and (2) build the data network for multi-site benchmarking, research, and machine learning on top of this open standard.
Tuva Health provides an open-source foundation for healthcare data transformation that runs inside a cloud data warehouse, turning fragmented healthcare data into an analytics-ready model. It emphasizes a transparent, community-driven codebase for healthcare data enrichment and an open platform with a marketplace.
Runs inside your cloud data warehouse to harmonize, validate, enrich, and activate healthcare data. Core steps include: map source feeds to a unified data model, catch data quality issues, add terminology and measures, and publish data marts and AI-ready tables. It combines an open-source platform with a marketplace for deployment and apps, with fixed-price annual subscriptions and perpetual licenses for components like the core platform, data products (CodeRx Drug Database, EMPI Lite, etc.), and enterprise support.
Who it’s for: Healthcare organizations and healthcare analytics teams seeking an open-source data transformation platform with a built-in marketplace and transparent, auditable codebase.
Pricing page with multiple paid components; community with 2,500+ healthcare analytics experts; open-source platform and marketplace; cites 100+ healthcare organizations as trusted users.
Before co-founding Tuva, I worked at Strive Health as VP of Data Science, where I focused on using techniques in machine learning, statistics, and analytics engineering to improve outcomes in value-based care. Prior to Strive Health I served in leading data science roles at different healthcare tech companies. Before my life in data science I was a mathematician and physicist doing research in high-performance scientific computation.
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