High-throughput input device for AI era
littenYº Pro
XR | Cybernetics | AI
9-DOF Rings & Full-body tracking
For Startups, Creators, and Gamers
Initial batch ships December 25, 2025
one controller too rule them all
Applications
Precision Micro-Gesture Recognition
Detects subtle hand movements for intuitive control in creative and professional applications.
Versatile Control
Seamless general-purpose interaction for XR gaming, coding, and specialized virtual environments.
Full-Body Tracking
Enables immersive experiences in gaming, VRChat and Metaverse. Support SlimeVR and Steam.
Sports and Fitness
Enhances training and performance analysis with real-time motion feedback.
Rehabilitation
Supports physical therapy and recovery through precise movement tracking.
Advanced Prosthetics
Powers responsive, AI-driven prosthetic control for improved mobility.
AI Training
Facilitates embodied AI development with accurate human motion data.

Sensor
Specification
- 120 FPS
- ±2000º/s gyroscope range
- ±16g accelerometer range
- High-frequency sensor fusion
- Dimensions: 16.9 x 11.5 x 5.7 mm
- Dimensions: 0.66 x 0.45 x 0.22 inches
- Weight: 1.25 gram | ¼ teaspoon
Hardware
- 6DOF IMU TDK ICM-42688
- 3DOF TMR Compass AKM ak09940a
- Dual core SoC
- 2.4 GHz low-energy RF controller
- Up to 4-Mbit RF speeds
- 12 hours of battery life
What's Included
Charger
Specification
- 8 RF sensor connections
- 1 RF mobile connection
- USB-C for HID connectivity
Hardware
- Quad-core SoC
- Up to 4-Mbit RF speeds
- 24 hours of battery life
Connectivity
The Sensors send data to the Charger.
There are three gateways to access motion data from Chargers:
Initially, littenYº Pro will provide the WebSocket interface and SlimeVR USB HID for the following data:
The WebSocket data is encoded in CBOR format.
We plan to extend USB HID and Wireless HID gradually, implementing the most popular interfaces sequentially.
The WebSocket interface introduces additional 5ms latency. However, it is straightforward to work with. We recommend starting development using the WebSocket interface, even for applications that require low latency. Once the AI models trained on WebSocket data are sufficiently mature, we can collaborate to optimize them and build them into the Charger firmware for improved performance. Alternatively, for more complex or proprietary AI models, we can provide direct access to the motion data via the mobile device.
High-throughput input device for AI era
littenYº Pro
XR | Cybernetics | AI
9-DOF Rings & Full-body tracking
For Startups, Creators, and Gamers
Initial batch ships December 25, 2025