Measure
Movement
Where It
Matters.

In-shoe sensors + movement AI that turns biomechanics into actionable insights.

get started

Measure Movement Where It Matters.

In-shoe sensors + movement AI that turns biomechanics into actionable insights.

get started

“Best new tech we’ve added.”

- Andrea Hudy, Head of Performance,
Women’s Basketball NCAA

Solve three of the biggest challenges in

high-performance athlete management

with one unified system

1. Return-to-Play

Make confident RTP decisions with objective data. Validate functional readiness, asymmetries, and load tolerance in actual competition environments: on-court/on-field/on-ice/on-track.

A laptop displaying colorful plantiga charts with graphs and data, and a dock connected via a cable on a wooden desk.
case study

2. Injury Prevention

Move beyond reactive injury tracking. Norman.ai provides continuous biomechanical surveillance, flagging subtle micro-changes and asymmetries before they escalate.

A person holding a plantiga insole with a right pod in the midsole.
case study

3. Performance Longevity

Sustain peak performance throughout demanding seasons. Optimize daily mechanical load and preserve efficient movement patterns to reduce cumulative fatigue.

Person holding smartphone displaying plantiga data with graphs and statistics, with a laptop open showing similar data in the background.
case study

Extensively validated against gold standards.

Only in-shoe sensor approved for player use by the NBA.

validation

Monitor Everywhere

Capture asymmetries and load data wherever athletes train - at home, on the road, in the clinic, or on the court, field, ice, or track.

A plantiga data card showing average impact for left and right limbs, with the left at 9.47 g and right at 11.6 g. The impact asymmetry is 18.4% higher on the right.
A plantiga data card showing a total athlete g-Load of 153 thousand g, with a bar graph and a slider indicating a g-Load value within the person's typical range.

The Movement Intelligence Platform

SENSORS

A digital wireframe of a sneaker with an exploded view of a plantiga sensor's electronic components, including a circuit board and other internal parts.

IMU sensors embedded in insoles/orthotics/shoes capture precise movement asymmetries, loads, and variabilities across all movement types.

+

AI

A digital illustration of a human brain with connected lines and nodes, highlighting a green area, and a logo with the text 'normal.ai' in black lowercase letters.

Norman.ai creates movement signatures, detects activities automatically, flags deviations, and delivers actionable movement insights.

Use Best-in-Class Data

Make confident return-to-play decisions with precise lower-body asymmetry and mechanical load data.

A plantiga data card showing total move time of 1 hour, 16 minutes, and total idle time of 35 minutes, 18 seconds, with a circular pie chart indicating 69% move and 31% idle.
A plantiga data card showing the distance covered in miles at different intensity levels: Low 29% (1.14 miles), Medium 33% (1.28 miles), High 35% (1.35 miles), Very High 2.7% (561 ft), Extreme 0.3% (61 ft). Total distance 3.89 miles.

Gabe Landeskog’s Return to the Ice

Plantiga supported Gabe Landeskog’s long road back to the ice, guiding a recovery from an injury that only a handful of athletes have ever made.

read the story
Close-up of Gabe Landeskog wearing a Colorado Avalanche hockey jersey, looking to the side with an intense expression.

Leave Nothing
to Chance

Profile every movement type - acceleration, deceleration, walking, jumping, running, cutting. Make data-driven decisions with confidence.

Table showing Deceleration metrics, including Total Athlete G-Load Asymmetry, Average Push-Off Asymmetry, and Average Impact Asymmetry with various levels categorized as Very High, High, Medium, and Low, with colored percentages.
Table showing Acceleration metrics, including Total Athlete G-Load Asymmetry, Average Push-Off Asymmetry, and Average Impact Asymmetry with various levels categorized as Very High, High, Medium, and Low, with colored percentages.

Plantiga is
made for…

American Football
Football
Running
Basketball
Golf
Sprinting
Baseball
Hockey
Tennis

Complete Your Tech Stack

Fill the gaps between GPS, motion capture, and force plates by adding a real-world movement intelligence layer.

Graph showing average push-off asymmetry over a session, comparing 7-day and 28-day averages, with values of 10% and 13.4% respectively.
Weekly total athlete g-load chart with bars for each day, showing an average g-load of 54.1k.

Discover how athletes and practitioners across professional and collegiate sports integrate Plantiga into their day-to-day.

Plantiga in Action

Improve the Quality of Your Decisions.

get started