PonieTech builds a deep‑technology platform that merges human biology, quantum sensing, and neurotechnology to create wearable systems that act as natural extensions of the body. Its edge AI uses ultra‑low‑power photonic processors to run complex computations locally, eliminating cloud latency and reducing energy use.
Funding
Funding not disclosed
Founders
Product
Problem
Existing wearable and human‑machine interfaces depend on bulky hardware, cloud‑based AI processing, and conventional electronic components, which introduce latency, high power consumption, and limited data security. Rigid, non‑biological materials also hinder comfortable, long‑term integration with the human body, reducing the effectiveness of teleoperated or assistive systems.
Solution
PonieTech delivers a unified platform that merges three emerging scientific frontiers—ultra‑low‑power photonic AI at the edge, quantum‑informed sensing and communication, and bio‑integrated soft materials—to create wearable systems that operate as natural extensions of the user. Edge photonic processors execute complex AI inference locally, removing cloud latency and minimizing energy use. Quantum‑based sensing provides high‑fidelity measurements, while quantum key distribution ensures data transmission security beyond traditional encryption. Engineered biological substrates form adaptable, skin‑compatible interfaces that can embed sensing elements and optogenetic haptic feedback, enabling users to feel remote interactions in real time. The platform underpins products such as Project Juvet, a quantum‑photonic human‑robot interface that translates robotic touch into biologically mediated sensations, supporting use cases in surgical, defense, industrial, and rehabilitation robotics.
Target Audience
Primary customers are manufacturers of surgical, defense, industrial, and rehabilitation robotics, as well as developers of advanced human‑machine interface systems that require low‑latency, secure, and biologically integrated wearables.
Features
- Photonic AI processors that deliver ultra‑low‑power, high‑throughput inference directly on the wearable device
- Quantum ion‑pair sensing and quantum key distribution communication for sub‑nanometer measurement precision and physics‑based data security
- Bio‑integrated, bioprinted soft tissue substrates that conform to skin and provide biocompatible electrical and optical interfaces
- Optogenetic haptic feedback circuitry that converts remote tactile signals into biologically resonant sensations for the operator
- Modular architecture that combines AI inference, quantum sensing, and biological interfaces into a single wearable form factor
- Compatibility with teleoperated robotic platforms, enabling low‑latency control loops without reliance on external cloud services