From Raw Data to Winning Strategies

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Unlock how your body moves, step by step

Wear Striv Smart Insoles throughout your run to unlock personalized insights into how you move, train, and recover. From foot mechanics to full-body wellness, Striv helps you improve performance, prevent injury, and feel stronger in every step.

Comparison of running efficiency and fatigue analysis graphs showing left and right averages, with performance percentages, line graphs, and shaded trend areas.
Cycling performance metrics displayed on a digital screen, including distance, power, cadence, pace, fatigue, and efficiency.
Foot pressure and gait analysis display showing distance, power, cadence, pace, and right and left foot pressure distribution in different colors with percentages and statistics.

Want to see data in real-time?

What STRIV Measures

A radar chart with five axes, displaying data points connected by lines in yellow and green, on a dark background.
Colorful, digital illustration of two footprints in blue and orange, with a purple background, representing footprints in a modern, abstract style.
Illustration of human kidneys highlighted in blue, with orange nerves and green lymph nodes.

  • Measures impact forces to optimize landing technique and protect joints.

  • Tracks foot roll direction to reduce injury risk and improve stability.

  • Monitors stride variance against your baseline to detect fatigue and provide real-time alerts, reducing injury risk.

  • Monitors how your foot’s pressure moves, vital for balance and stride control.

  • Derived from 10+ metrics, it helps optimizing your stride for faster, more efficient running, minimizing energy waste.

  • Uses force sensors to precisely measure your power, key for maximizing speed and efficiency.

  • Tracks heel vs. forefoot strike and imbalances to refine technique and prevent injury.

  • Analyzes landing, takeoff, and swing phases, breaking down stride mechanics to performance.

A digital graph showing running efficiency scores based on biomechanical factors, with lines representing left and right foot elevation and normalized elevation, and a dark background with green, blue, gray, and black elements.
A digital graph showing fatigue analysis during a run, with lines representing left and right foot fatigue levels, and a shaded area indicating normalized elevation.
Graph comparing biomechanical differences in attributes between left and right feet, with terrain/pace affecting symmetry; blue line for left foot, green for right foot, gray for elevation.
Graph displaying loading rates of the left and right foot during a step, with average rates of 347 BW/s for the left foot and 358 BW/s for the right foot. The graph shows the force applied over time, with blue representing the left foot and green the
Graph showing foot takeoff angles during a push-off phase, with data for left and right feet, highlighting optimal angles and terrain influence.
A graph showing foot landing angles with the title 'Foot Landing Angle' and the description explaining the meaning of the angles at initial ground contact. It displays average angles for the left foot (-1.8°) and right foot (-15.8°). The graph plots
Graph showing pronation angle and elevation over time, with data for left and right foot. The left foot's pronation angle is mostly positive, while the right foot's pronation angle is mostly negative. The elevation varies for both feet, with the gray
Graph showing foot roll angles during landing and takeoff phases of a gait cycle, with lines representing left and right foot science and stability metrics.
Graph showing ground contact time and elevation over time for running, with blue line for left foot, green line for right foot, and gray area for elevation, indicating terrain changes.
Gait cycle analysis graph showing phases of loading, stance, and swing with color-coded sections, explained as loading in orange, stance in blue, and swing in green.

Why STRIV?

The Most Advanced Running Wearable You’ll Ever Experience

While most running trackers depend on motion sensors (IMU), Striv stands out by using dense force pressure data. This enables it to deliver more accurate metrics, such as power output (calculated as force multiplied by speed), along with detailed insights like gait cycle analysis, pressure distribution, and more. These advanced measurements offer runners more advance and precise data, leading to smarter training decisions and better overall results.

Comparison chart showing features of Striv running wearable, running pods, and smart watches. Features include sensor resolution, advanced metrics, and AI running coach, with check marks indicating availability.