Hardware
Designed from the board up.
PCB Design Concept — Custom built for real-time motion processing
Technology
Our distributed computing architecture splits intelligence between the hardware and your PC for real-time, noise-free gesture recognition.
Architecture
Built during an intensive 3.5-month R&D period, our architecture relies on distributed computing. Noise-free sensor fusion happens on the hardware via a 6-axis MPU6050 MEMS, while heavy AI classification happens within the PC software using TensorFlow and Keras.
We also utilize custom Data Logger software to build proprietary movement datasets — enabling every user to personalize their controller in seconds.
"The system doesn't train the user; the user trains the system. The player introduces their movements to the system in seconds, and the AI instantly creates a personalized dataset."
Specifications
Hardware
PCB Design Concept — Custom built for real-time motion processing
Performance
Performance Analysis & Plug-and-Play: Overcoming the current lack of performance tools, the system functions as a digital coach by measuring player reflexes and precision. Utilizing a plug-and-play HID protocol, no additional console investments are required.
Validation
Data Sampling
AI Validation
Market & Competition
We are targeting Gen Z and competitive PC gamers within a massive $240 Billion global gaming market.
The Gesturaware Advantage: Traditional competitors like Sony and Nintendo offer closed systems with limited game support, and legacy tracking devices like Leap Motion or Tobii suffer from weak integration. Gesturaware breaks this mold by offering universal PC compatibility with intent-based AI control.
Revenue
High-margin hardware sales distributed directly through Amazon and major e-commerce channels (B2C).
Annual licensing of our AI motion recognition engine and DevKits to game studios, expanding from hardware into a developer ecosystem.
Monthly membership for detailed performance analytics and cloud-based profile storage.
Roadmap
We are building an AI engine that ensures you are truly inside the game, rather than just holding a controller.
Focus on seamless PCB integration and reducing the physical size of our prototype.
Transition to an ergonomic, futuristic industrial case design with refined RGB detailing.
Fully embedding the AI models directly into the hardware — on-chip processing for zero-latency inference.
Initiating exclusive Closed Beta testing phases alongside global e-sports communities.