CueZen’s AI Health Coach Scores $5M to Nudge You Toward Wellness

“We’re already nudging millions toward better health, and we’re just getting started. This isn’t a moonshot. It’s a market shift,” Ankur Teredesai, CEO and Co-Founder of CueZen

Digital health platforms have seen extraordinary growth over the past decade, but a major problem still looms large specially engagement. Despite widespread access to sensors, apps, and medical data, most health platforms still struggle to retain users and generate meaningful outcomes. Founded in 2021, CueZen is a health personalization engine addressing the challenge of long-term health behavior change. Its core premise is that hyper-personalized, AI-driven interventions are crucial for both individual health improvements and enterprise success. This approach signifies a market shift, not an unrealistic aspiration, and is already positively influencing the health of millions.

The company recently raised $5 million in funding led by Point72 Ventures, a sign of growing investor confidence in the future of AI-powered health engagement. But behind the headlines lies a deeper story: CueZen is building an AI-first infrastructure that translates passive health data into dynamic, personalized action bridging the gap between fragmented digital health systems and human behavior.

The company’s approach is a sophisticated AI platform that unifies lifestyle and clinical data to create what it calls a “longitudinal health identity” for each user. This identity is continuously updated using data from smartphones, wearables like Apple Watch and Fitbit, connected medical devices, and even electronic health records. Unlike static dashboards or one-size-fits-all wellness plans, CueZen’s platform interprets this data in real time, identifying micro-patterns, predicting risks, and suggesting precisely the right action at the right moment.

Their AI models operate like a health-focused recommendation engine. Just as Netflix learns what to suggest based on viewer’s viewing history, CueZen learns how a person sleeps, exercises, eats, and responds to nudges  and adapts the care pathway accordingly. If a user’s heart rate variability dips after a period of intense activity and poor sleep, the system may prioritize stress-reduction techniques, guide the user to wind down earlier, or suggest restorative movement. These interventions are deeply personalized and clinically relevant, grounded in evidence-based health programs across metabolic health, cardiovascular care, sleep optimization, women’s health, and general wellness.

CueZen goes beyond content personalization. Its platform includes an engagement intelligence layer that determines when and how to interact with users. If someone is more likely to respond to a message in the morning, the platform adjusts accordingly. If a user engages more with SMS than with in-app alerts, that too is optimized. The system continuously learns from feedback loops, improving its understanding of how users behave — not just how they feel.

Unlike many AI applications in health that focus on diagnostics or automation, CueZen’s platform is built for integration. It acts as a white-labeled intelligence layer that powers apps and digital health ecosystems from the inside. Enterprise customers, from health OEMs to public health systems use CueZen to increase enrollment, engagement, adherence, and measurable outcomes. In Singapore, the platform delivers personalized nudges and programs to over 3 million residents daily, part of a national preventive health effort. In the UK, it supports behavior-driven programs through the NHS. Health brands like Titan and Microport use CueZen to enhance customer journeys and outcomes.

The platform’s ability to operate at population scale while remaining individually personalized is what sets it apart. CueZen’s founders, including CEO Ankur Teredesai, built the company on the belief that health engagement should feel as intuitive and customized as a Spotify playlist but backed by clinical science and AI rigor. Teredesai, who previously co-founded the healthcare AI company KenSci and led machine learning initiatives at Microsoft, sees CueZen not just as a product but as infrastructure: a new layer in the health stack.

With its latest funding, CueZen plans to expand its AI capabilities, grow enterprise partnerships, and embed its engine deeper into the digital health ecosystem. It aims to become the personalization backbone for any company delivering digital health experiences much like how Stripe powers payments or Twilio powers communications.

The long-term vision is to make health journeys adaptive, responsive, and personal not just at an individual level but across entire populations. In a world of increasing healthcare demands and decreasing attention spans, that might be exactly what the future of health needs.