Fitness 2.0

The next generation of health, fitness and coaching apps extends far beyond traditional session planning and booking tools. These task-driven digital platforms are evolving into powerful personal guides, transforming our health and fitness journeys with unprecedented precision and personalization.

The Future of Fitness: A Data-Driven Revolution

This evolution is fueled by the integration of AI and passive data from smartphones and wearables. These advancements are ushering in an era of optimized, intelligent real-time recommendations that elevate our overall health, not just our fitness.

Leading the Charge: Companies Embracing AI and Data

  • Everfit: This innovative platform excels in creating dynamic training programs that promote holistic athletic development. Everfit leverages data-driven insights to optimize training, utilizing AI and passive data from smartphones and wearables. The result is a comprehensive suite of custom metrics tracking, nutrition and habit tracking, and tailored coaching strategies designed to enhance athlete performance.
  • Kahunas: Empowering coaches and trainers, Kahunas provides personalized health and wellbeing experiences through coach-branded platforms. Serving thousands of personal trainers and their hundreds of thousands of clients, Kahunas simplifies nutrition and workout tracking. By integrating AI and passive data from wearables, the platform enhances user engagement and refines coaching strategies, accelerating and amplifying client health and fitness outcomes. Kahunas utilizes Sahha to power 5,000 coaches with health data from 150,000 clients, personalizing their fitness journeys.

These examples highlight how modern coaching platforms harness AI and passive data to augment real-world activities, setting the stage for a new era in fitness and health management.

Enhancing UX through deep personalization

In today's fast-paced world, user attention is fleeting, and expectations are high. Forward-thinking companies are heavily investing in AI and passive data to meet these demands. AI’s ability to personalize real-world activities is rooted in leveraging passive data from smartphones and wearables, encompassing health metrics, activity levels, and user behavior patterns. This foundation enables tailored health interventions, transforming abundant information into actionable insights and customized interventions with extraordinary precision.

The future fitness apps will not just react to our needs but anticipate them. Imagine apps adapting workout recommendations based on recovery metrics, suggesting dietary changes aligned with health goals and DNA, and offering personalized coaching advice. These next-gen apps will transition from static, user-driven interfaces to dynamic, data-informed experiences, providing real-time, personalized support.

We see examples of startups such as Guided AI capitalising on these trends in UX and personalised data. Guided is a AI-powered fitness app that "brings you personalized mental and physical wellness guidance through the voices of iconic figures, from soothing meditation gurus to intense fitness trainers". They do this by analyzing on-device health data using Sahha, and tailor activities like exercise and meditation to each user's unique needs and progress. "It's like having a dream team of health coaches in your pocket, motivating you with the perfect words at the perfect time – all through the power of voice." View the demo

Platforms Paving the Way: Tools for Developers

Platforms like Sahha offer comprehensive SDK/API tools capturing and analyzing a wide spectrum of passive data, including device sensor data and health biomarkers. These tools predict behavioral, mental, and physical health, showcasing the potential of integrating passive data with AI to revolutionize digital health user experiences.

The Urgency of Adoption

In the fitness coaching sector, the urgency to adopt cutting-edge technologies is more pronounced than ever. User expectations around UI and UX are escalating, making it essential for companies to engage users and provide personalized, effective fitness regimes that amplify health and fitness outcomes.

The integration of passive data collection through smartphones, wearables, and innovative health platforms offers a plethora of insights. Analyzed through sophisticated AI/ML algorithms, this data significantly enhances the personalization and adaptability of fitness guidance. This marks the dawn of a new era in UI/UX design, where interfaces become more intuitive, responsive, and personalized. Fitness coaching apps can leverage AI to deliver predictive insights, suggesting workout adjustments, recovery periods, and nutrition plans tailored to the user's real-time performance and health metrics.

Shaping the Future of Personal Health

The future of fitness coaching apps is firmly rooted in their ability to seamlessly integrate advanced technologies such as passive data collection, wearables, and AI/ML algorithms. Apps embracing these technologies will lead the charge in shaping the future of personal health and wellness.

Ultimately, the integration of AI and passive data collection is catalyzing a new era of fitness and coaching apps. These sophisticated digital tools are set to surpass user expectations, delivering personalized experiences and intelligent recommendations that were previously unthinkable. As technology continues to evolve, these innovative digital tools will undoubtedly sculpt the future of personal health and wellness.

Read more about the impact of AI in health.