Kinetic

Kinetic - Motion Intelligence Network

Kinetic captures real human motion using wearable sensors, structures it at the source, and turns it into verifiable, licensable datasets for robotics, AI, XR, and healthcare, owned by the humans who create it.

Problem

Modern AI systems, especially robotics, embodied AI, XR, and healthcare, rely on high quality human motion data.
Today this data is fragmented, poorly labeled, unverified, and disconnected from the people who generate it.

Solution

Kinetic provides an end to end motion intelligence pipeline that captures, structures, and commercializes real human motion.

Architecture Overview

Hardware

Data Flow

Business Model

• Contributors earn through dataset licensing and rewards

• Buyers pay for clean, structured motion datasets

• Network value grows with data quality and consistency

Roadmap

Phase 1: Trusted Motion Capture Infrastructure

• Production-ready wearable based IMU capture

• Stable BLE streaming with low latency and low power

• Human-labeled metadata at capture time

• Real time visualization and session validation

• On-chain dataset minting with provenance

Phase 2: Network and Marketplace Expansion

• Scale contributor base and dataset volume

• Expand motion types, placements, and use cases

• Dataset discovery, filtering, and analytics

• Licensing workflows and contributor rewards

• Quality scoring based on consistency and usage

Phase 3: Motion Intelligence Data Layer

• Standardized motion schemas for AI training

• Programmatic access for robotics and AI teams

• Integration with embodied AI and simulation pipelines

• Long term contributor reputation and trust signals

• Kinetic as a default source of real human motion data