RadiantGraph, a platform utilizing machine learning and artificial intelligence to drive consumer engagement for health plans, has officially launched after raising $5 million in Seed funding in a round led by True Ventures and XYZ Ventures, with participation from Remus Capital.
The funding will be used to accelerate growth, including partnering with new healthcare organizations and advancing their enterprise health and health plan product offerings.
Healthcare costs continue to rise, but consumer engagement with healthcare is still low. RadiantGraph aims to address this issue by using machine learning and AI to translate data, including medical claims, medication history, and biometric data, into tailored consumer healthcare experiences.
This approach leads to more effective communication, higher patient satisfaction, and improved healthcare outcomes.
RadiantGraph’s platform approach enables companies to generate usable insights in weeks, saving them significant capital investment and accelerating timelines to deploy models and deliver outcomes. Personalized communication facilitated by RadiantGraph can reduce acquisition costs by up to 50% and increase revenue by 5-15%.
“RadiantGraph addresses a problem I’ve worked to solve time and time again – companies building AI systems from the ground up in an effort to transform data into better consumer experiences. It’s simply inefficient,” said Anmol Madan, founder and CEO of RadiantGraph. “RadiantGraph can drive direct impact on outcomes and help healthcare companies apply AI to drive personalized experiences and keep up with the rapid evolution of AI technology underway.
This removes the friction that healthcare companies experience when trying to engage with consumers and outpaces in-house and third-party options.”