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Partners

Healthcare analytics firms that build with Tuva

Expert help for your Tuva environment

Use this directory to find specialists who can help plan, implement, extend, or operate a Tuva-based healthcare analytics platform in your cloud data warehouse.

Astrodata

Astrodata

Astrodata provides expert data engineering, analytics, software engineering and AI services to develop data + product strategy, implement embedded analytics and AI products, build scalable infrastructure, and elevate your customers' experience. The company has deep healthcare roots and works with some of the largest healthtech brands.

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DAX Healthcare Solutions

DAX Healthcare Solutions

DAX Healthcare Solutions helps ACOs, FQHCs, and health plans build owned analytics infrastructure for value-based care, including EMR integrations, ETL, ADT feeds, HCC, quality, cost, and risk analytics.

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Illuminate Health

Illuminate Health

Illuminate Health turns claims, clinical, and operational data into trusted, auditable analytics for healthcare organizations, built securely in your cloud by a senior team without vendor lock-in.

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Keywell

Keywell

Keywell implements enterprise AI and analytics for healthcare teams, bringing deep claims and EHR experience to value-based care, population health, risk stratification, and patient journey analysis.

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Maitri Services

Maitri Services

Maitri Services combines software engineering and clinical expertise to build reliable, compliant, user-focused healthcare technology that helps organizations innovate with confidence.

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Midwest Data Factory

Midwest Data Factory

Midwest Data Factory designs, builds, and runs Tuva-based analytics platforms on modern cloud warehouses, providing data-team-as-a-service for ACOs, providers, and health-tech teams.

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Röse Health

Röse Health

Röse Health focuses on healthcare analytics, from Tuva implementation and management to analytics for ACOs, bundled payments, and other value-based care contracts.

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Z2 Health Insights

Z2 Health Insights

Z2 Health Insights works across data engineering, architecture, advanced analytics, machine learning, and BI to build clean, connected data foundations that drive clinical and operational value.

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