.jpg)
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.
Read more
What We Talk About When We Talk About AI
The views expressed here are those of the individual M13 personnel quoted and are not the views of M13 Holdings Company, LLC (“M13”) or its affiliates. This content is for general informational purposes only and does not and is not intended to constitute legal, business, investment, tax or other advice. You should consult your own advisers as to those matters and should not act or refrain from acting on the basis of this content. This content is not directed to any investors or potential investors, is not an offer or solicitation and may not be used or relied upon in connection with any offer or solicitation with respect to any current or future M13 investment partnership. Past performance is not indicative of future results. Unless otherwise noted, this content is intended to be current only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in funds managed by M13, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by M13 is available at m13.co/portfolio.