Evidence-informed coaching system

Clear coaching, built from movement data

Our methodology combines user context, exercise science, and real-time pose analysis so each workout feels specific, measurable, and easy to act on.

Virtual training analysis preview

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Landmarks

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Exercises

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Video stored

Core method

Three checks before every recommendation

Personalized intake

Questionnaire answers shape goals, schedule, injuries, equipment, and training level before a plan is created.

Real-time observation

The analyzer checks movement landmarks directly in the browser and turns form data into practical coaching cues.

Risk-aware filters

Injury areas and available equipment are used to avoid poor matches and keep recommendations realistic.

Workflow

From answers to action

The system is designed to move quickly: ask for only the details that matter, build a useful plan, then give feedback while the user trains.

1

Collect training context

Goals, constraints, and preferences become the source of truth.

2

Filter exercise options

Exercise choices are narrowed by body area, equipment, and safety considerations.

3

Balance the weekly plan

Training days are distributed with recovery and muscle balance in mind.

4

Coach form in real time

Analyzer feedback focuses on short, specific movement corrections.

Exercise library

Structured by muscle, movement, type, and level.

Adaptive inputs

Plans can change when goals or limitations change.

Fast feedback

Coaching is brief enough to use mid-workout.

Progress loop

Dashboard progress keeps the plan easy to follow.

Ready when your plan is ready

Train with a system that explains what to fix next.

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