Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
A global fitness platform serving over 150 million users across 185 countries, processing tens of millions of daily activity uploads covering more than 50 sport types.
Users felt overwhelmed by raw data points like pace and power, struggling to understand how specific efforts compared to their historical...
“The spirit of making data more accessible and meaningful for our users is at the core of our new feature. Our goal is to improve the athlete experience by increasing data accessibility and evolving these capabilities over time.”
Fitness tracking and social networking platform for athletes and outdoor activities.
Cloud computing platform and on-demand infrastructure services.
Strava's Workout performance analysis is part of this use case:
Related implementations across industries and use cases
Trainers manually analyzed scattered sleep and diet logs. AI now unifies the data to trigger instant coaching insights.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
Trainers manually analyzed scattered sleep and diet logs. AI now unifies the data to trigger instant coaching insights.
Processing trillion-token datasets took months. A native vector engine cut deduplication costs 5x and doubled processing speed.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Marketers spent two weeks manually updating battlecards. Now, AI synthesizes scattered win-loss signals to refresh them in hours.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.
Raw pace and power data overwhelmed users. AI now turns millions of daily uploads into instant, encouraging performance insights.
A global fitness platform serving over 150 million users across 185 countries, processing tens of millions of daily activity uploads covering more than 50 sport types.
Users felt overwhelmed by raw data points like pace and power, struggling to understand how specific efforts compared to their historical...
“The spirit of making data more accessible and meaningful for our users is at the core of our new feature. Our goal is to improve the athlete experience by increasing data accessibility and evolving these capabilities over time.”
Fitness tracking and social networking platform for athletes and outdoor activities.
Cloud computing platform and on-demand infrastructure services.
Strava's Workout performance analysis is part of this use case:
Related implementations across industries and use cases
Trainers manually analyzed scattered sleep and diet logs. AI now unifies the data to trigger instant coaching insights.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
Trainers manually analyzed scattered sleep and diet logs. AI now unifies the data to trigger instant coaching insights.
Processing trillion-token datasets took months. A native vector engine cut deduplication costs 5x and doubled processing speed.
A solo operator was firefighting volume. AI now resolves 50k monthly inquiries, freeing humans to handle complex enterprise cases.
Marketers spent two weeks manually updating battlecards. Now, AI synthesizes scattered win-loss signals to refresh them in hours.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.
Protecting users from harmful on-device AI required internet. A powerful safety AI now runs directly on the PC, guarding users even when offline.