Consumer experiences in healthcare are hard to navigate and lack the personalization consumers have in other industries—making it challenging to acquire, engage, and retain members.
Healthcare organizations wanting to grow their business need to do better, and patients also desire deeper partnership: 71% say they want stronger relationships with healthcare providers.
RadiantGraph is leveraging the superior power of AI/ML platforms to implement healthcare personalization at scale, generating personalized marketing and engagement tools to fight these issues. The platform helps users ingest data quickly to better understand and interact with patients, modernizing the traditionally manual processes around member enrollment, retention, and engagement.
The result? More personalized engagement, more tailored program enrollment, better clinical outcomes, and ultimately happier members.
The company’s platform includes a comprehensive feature set that delivers personalized communications to patients to boost enrollment and engagement:
- Health data engine to digest unstructured healthcare data
- AI/ML models for member populations
- Automated content generation, automated orchestration, and AI voice interactions
- Direct integrations to the marketing stack
While there are many players raising rounds to build healthcare-specific AI capabilities, founder & CEO Anmol Madan and the whole RadiantGraph team understand the limitation is not the AI technology itself, but rather barriers around tech stack implementation, data ingestion/structuring, and data security and compliance.
Today, RadiantGraph’s platform supports leading health plans and healthcare organizations in substance abuse, mental health, chronic conditions, MSK, and other complex healthcare spaces. The platform has grown quickly: RadiantGraph was incorporated in 2023 and is already processing personalization models for more than 3.5 million people.
We also believe the team has found exceptional founder-market fit. Anmol has built previous successful digital health startups as founder of Ginger (which resulted in a $3.5B merger with Headspace) and Chief Data Scientist of Lingovo then Teladoc ($18.5B merger).
We believe the RadiantGraph team has the AI and healthcare expertise to pull off personalized engagement at scale, and we couldn't be more excited to back them. We’re proud to lead their $11M Series A, investing alongside our peers at XYZ Ventures and True Ventures.
Consumer experiences in healthcare are hard to navigate and lack the personalization consumers have in other industries—making it challenging to acquire, engage, and retain members.
Healthcare organizations wanting to grow their business need to do better, and patients also desire deeper partnership: 71% say they want stronger relationships with healthcare providers.
RadiantGraph is leveraging the superior power of AI/ML platforms to implement healthcare personalization at scale, generating personalized marketing and engagement tools to fight these issues. The platform helps users ingest data quickly to better understand and interact with patients, modernizing the traditionally manual processes around member enrollment, retention, and engagement.
The result? More personalized engagement, more tailored program enrollment, better clinical outcomes, and ultimately happier members.
The company’s platform includes a comprehensive feature set that delivers personalized communications to patients to boost enrollment and engagement:
- Health data engine to digest unstructured healthcare data
- AI/ML models for member populations
- Automated content generation, automated orchestration, and AI voice interactions
- Direct integrations to the marketing stack
While there are many players raising rounds to build healthcare-specific AI capabilities, founder & CEO Anmol Madan and the whole RadiantGraph team understand the limitation is not the AI technology itself, but rather barriers around tech stack implementation, data ingestion/structuring, and data security and compliance.
Today, RadiantGraph’s platform supports leading health plans and healthcare organizations in substance abuse, mental health, chronic conditions, MSK, and other complex healthcare spaces. The platform has grown quickly: RadiantGraph was incorporated in 2023 and is already processing personalization models for more than 3.5 million people.
We also believe the team has found exceptional founder-market fit. Anmol has built previous successful digital health startups as founder of Ginger (which resulted in a $3.5B merger with Headspace) and Chief Data Scientist of Lingovo then Teladoc ($18.5B merger).
We believe the RadiantGraph team has the AI and healthcare expertise to pull off personalized engagement at scale, and we couldn't be more excited to back them. We’re proud to lead their $11M Series A, investing alongside our peers at XYZ Ventures and True Ventures.
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