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§ Private Profile · San Francisco, CA, USA
RadiantGraph is a technology company.
RadiantGraph develops an AI-powered platform designed to deliver intelligent personalization within the healthcare industry. Its core technology includes a Health Data Engine that ingests and unifies diverse datasets such as demographic, behavioral, claims, and clinical information. This robust data foundation powers Smart Cohorts, a dynamic segmentation system that continuously updates to enable highly tailored and adaptive engagement strategies for health plans.
The company was founded by Anmol Madan, an experienced technologist with a notable background at Teladoc and Livongo, and as the founder of Ginger. Madan established RadiantGraph based on the insight that the healthcare landscape, with its fragmented experiences and rising consumer expectations, required an AI-driven approach to personalization. His vision was to illuminate complex data to foster more effective and meaningful engagement.
RadiantGraph primarily serves health plans and healthcare enterprises, providing them with sophisticated tools to optimize member interactions and ultimately improve health outcomes. The company’s long-term vision is to establish personalized engagement as the essential baseline in healthcare, leveraging advanced artificial intelligence to help its clients build deeper, more impactful connections with their members and beneficiaries.
RadiantGraph has raised $16.0M across 2 funding rounds.
RadiantGraph has raised $16.0M in total across 2 funding rounds.
RadiantGraph has raised $16.0M across 2 funding rounds. Most recently, it raised $11.0M Series A in October 2024.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Oct 1, 2024 | $11M Series A | M13 | SignalFire, Sound Ventures, Stellar Capital, True Ventures | Announced |
| Oct 1, 2023 | $5M Seed | True Ventures | Amino Capital, Authentic Ventures, M13, Glenn Solomon, Stellar Capital, Wildcard Ventures, Mike LEE, Sriram Ramachandran, Youcef ES Skouri | Announced |
RadiantGraph is an AI-powered platform that helps healthcare organizations personalize member engagement by processing complex, fragmented data into actionable insights. It serves health plans, providers, and enterprise health companies, solving the problem of inefficient data ingestion and AI deployment that traditionally takes years and millions in costs—delivering usable models in weeks instead.[1][2][3] The platform drives tailored communications, boosting enrollment, retention, clinical outcomes, and patient satisfaction while reducing acquisition costs by up to 50% and increasing revenue 5-15%; it currently processes personalization for over 3.5 million people with 1,400% growth since launch.[1][3]
Key features include a health data engine for unstructured data, AI/ML models, automated content generation, orchestration, voice interactions, and integrations with AWS, Google Cloud, Snowflake, and Databricks. Recent expansions like Intelligent Personalization and AI Voice Studio enable HIPAA-compliant voice agents, doubling conversion rates and cutting direct mail costs by 48% for major clients in mental health, substance abuse, chronic conditions, and MSK.[3][4][5]
RadiantGraph was incorporated in 2023 and launched in September with a $5 million seed round, quickly followed by an $11 million Series A led by M13. Founder and CEO Anmol Madan, formerly at CDS Livongo, Teladoc, and co-founder/CEO of Ginger, identified the core inefficiency: healthcare firms waste 50-80% of data science time on data prep rather than AI-driven personalization.[1][2][3] The team, drawn from Livongo, Teladoc, Ginger, and Wheel, built the platform to address data structuring, compliance, and integration barriers—key hurdles beyond raw AI tech.[2][3]
Early traction was rapid: growth-stage clients saw results in months, with the platform now supporting leading health plans. Madan emphasized streamlining AI deployment to outpace in-house efforts, turning fragmented data (claims, meds, biometrics) into consumer-tailored experiences.[1][2]
RadiantGraph rides the AI personalization wave in healthcare, where exploding data volumes meet manual engagement processes amid rising costs and poor outcomes. Timing is ideal post-2023 AI boom, as health plans shift to cloud and value-based care demands scalable personalization—RadiantGraph accelerates this by solving data silos that block 80% of AI projects.[1][2][4] Market forces like regulatory pushes for engagement (e.g., closing care gaps) and labor shortages favor its automation, reducing call center reliance while preserving HIPAA compliance.[5]
It influences the ecosystem by enabling faster AI adoption for Blues/national plans, modernizing enrollment/retention, and setting a model for cohesive platforms over fragmented tools—potentially reshaping consumer health tech amid digital health funding resurgence.[2][3]
RadiantGraph's momentum—1,400% growth, $16M+ raised, 3.5M+ members—positions it to dominate AI-driven healthcare engagement as voice AI and cloud migrations accelerate. Next: platform expansions in multimodal personalization (voice + predictive analytics) and deeper EHR integrations, targeting enterprise-scale adoption amid AI's evolution toward agentic systems.[3][5] Trends like personalized medicine and SDOH integration will amplify its edge, evolving it from engagement tool to core care orchestration layer—tying back to its launch promise of turning data friction into rapid, outcome-driving impact.[1]
RadiantGraph has raised $16.0M in total across 2 funding rounds.
RadiantGraph's investors include M13, SignalFire, Sound Ventures, Stellar Capital, True Ventures, Amino Capital, Authentic Ventures, Glenn Solomon, Wildcard Ventures, Mike Lee, Sriram Ramachandran, Youcef Es-skouri.