EON.Health is developing an agentic longevity platform designed to evolve with your changing health status.
One of the speakers at this week’s Unlocking Longevity track at TEDxBoston was Dr Abhishek Singh, co-founder and CTO of AI-driven longevity startup EON.Health, who spoke about how adaptive intelligence can help improve human healthspan. Rather than taking a monolithic approach to longevity AI, EON is building a platform composed of a network of intelligent, interacting agents that evolve together to enable a personalized approach to health optimization.
This distributed AI philosophy forms the backbone of EON’s AI infrastructure – millions of interactions that continuously adapt to reflect and react to an individual’s health trajectory. The company, which launched the first public version of its app this summer, claims its AI models analyze physical, behavioral, and environmental data to deliver unique insights and recommendations to its users.
“EON does something fundamentally different,” said Singh. “It actively connects the dots across your data to surface insights you’d never find on your own, then shapes the entire experience around what matters to you.”
Longevity.Technology: MIT alumni Singh and co-founder Ki-youn Jung built EON on the philosophy that there is no such thing as a single “normal” biomarker for every individual. The company’s platform aggregates data streams from wearables, personal health records, and connected digital platforms to construct personalized health profiles of its users. Recognizing that metrics, such as VO2 max and heart rate variability, are not isolated signals but component parts of the multidimensional picture that is health, EON aims to help users identify changes before problems escalate and intervene with data-driven guidance rather than generic advice. We sat down with Jung, the company’s CEO, to find out more.
Eon co-founders Ki-youn Jung, CEO, and Dr Abhishek Singh, CTO.
With a background in AI and IoT, Jung met her co-founder while studying for her MBA at MIT’s Sloan School of Management. Singh was focused on researching decentralized AI for precision medicine, and his work forms the technical foundation for EON’s platform.
“We quickly realized that we shared the same perspective on the problems of aging, and wanted to solve them using our combined expertise,” says Jung. “That was the starting point – and the differentiation point – for EON. We believe aging is a system failure, a systemic dysfunction. While the traditional approach focuses on narrow, point-based problems, our worldview is different: we bring an engineering perspective to systemic issues.”
Connecting pillars of health
EON is essentially building an operating system that maintains a unified understanding of each user’s health profile, based on six “pillars” of recovery, nutrition, movement, cognition, connection, and aesthetics. Its intelligence layer synthesizes insights across numbers, text, images, and time-series signals, connecting data that Jung claims would otherwise remain isolated and impossible to interpret manually.
“Whether it’s lab results, wearable metrics, food photos, or how you describe feeling in your own words, EON discovers hidden relationships – like linking ‘brain fog’ notes in your journal to glucose fluctuations and disrupted sleep patterns from days earlier,” she explains. “We connect to wearable devices, and users can also upload their own data — for example, PDFs of their checkup or blood test results. In this way, we can integrate diverse datasets to interpret each individual’s characteristics.”
To make this possible, EON orchestrates a network of specialized AI agents that dynamically collaborate across multiple data types.
“One agent analyzes time-series signals, another interprets natural language from journals, while others identify links between physiological and behavioral patterns,” says Jung. “This orchestration enables the platform to proactively surface insights before issues emerge and continuously adapt, not only refining its recommendations but also personalizing how it communicates, learns, and evolves with each user.”
The rhythm in the data
With so much data to analyze, Jung says that a key consideration is understanding the “cadence” of data – the rhythm that gives value to each dataset.
“Some data makes sense on a daily basis, others weekly, and when combined they create new context,” she explains. “We’ve built technology to understand these temporal and contextual relationships between signals. That’s how our AI can extract meaningful insights. In short, feature extraction, or identifying what matters within the data, is the key to developing efficient algorithms.”
EON’s distributed AI architecture is designed to combine both an individual’s health data as well as data from large scale population studies.
“We build collective intelligence from broad datasets, finding patterns across people with similar data signatures, and then continuously tuning to each person’s unique longitudinal responses,” says Jung. “Your recommendations start based on what works for people like you, but evolve based on what actually works for your body over time.”
“We’re collaborating with institutions like Beth Israel Deaconess Medical Center and others to build these collective learning models and rigorously evaluate their real-world efficacy. These partnerships give enable us to validate that our approach actually scales across diverse population datasets.”
‘An operating system for health’
The EON app was made available to download in July, and Jung says it has been steadily evolving since then.
“We’re seeing meaningful stickiness and engagement, which confirms that people are ready for a new kind of relationship with health,” she says. “It’s deeply rewarding to see our vision translating into daily behavior.”
While the first version of the company’s consumer app is already in the hands of early adopters, there is still a long way to go before EON delivers on its ultimate vision.
“We’ve built the foundation – a platform that connects human behavior, data, and intelligence in a timely manner,” says Jung. “The next chapter of AI isn’t about building yet another model; it’s about connecting all intelligence – sensor data, interventions, and outcomes. The consumer app is what users interact with, but delivering a truly seamless and adaptive experience depends on the deep infrastructure we’ve been developing behind the scenes.”
With the future in mind, EON is building its technology as an open platform, allowing other companies to integrate their solutions within it.
“Our ultimate goal is to build a platform, an operating system for health, that connects with other platforms and services,” says Jung. “We’ve developed our core architecture with this expansion in mind. For example, a longevity clinic could deploy their proprietary intervention protocols, where they’d have access to their customer health data and could continuously monitor their response and coordinate with their metrics. If you’re creating products that touch people’s lives and want to amplify their impact through AI, this is the moment to join us.”
Photographs courtesy of EON.Health