PonieTech Industries / Looking Glass Robotics
Looking Glass Robotics

The operator feels what the robot touches.

Not through a vibration motor. Through biologically informed feedback.

Looking Glass Robotics develops advanced robotics, teleoperation, and next-generation human-machine interfaces. Our flagship initiative, Project Juvet, is designed to close the embodiment gap, the eighty-year unsolved problem in teleoperated robotics where operators cannot feel what their machines touch.

Every haptic feedback solution attempted over the past several decades has delivered a mechanical proxy for touch: vibration motors, force feedback actuators, electrotactile stimulation. Each delivers a signal the brain must interpret as touch. None activates the body's own sensory cells. Project Juvet is the first approach designed to do so.

Project Juvet · Patent Pending · Provisional filed March 29, 2026

Four peer-reviewed capabilities. One co-fabricated construct.

Project Juvet is a co-fabricated bioprinted biological tissue construct that returns genuine biological haptic sensation to the operator through a quantum-secured photonic channel. The system integrates four independently peer-reviewed capabilities into a single wearable construct for the first time.

Layer 01
Reading Intent
Advanced Neural Sensing

Detection and interpretation of pre-motor neural signals using quantum ion-pair sensors operating beyond the classical shot-noise limit. The goal is to capture intent before physical movement occurs, allowing human-machine interaction to feel faster, more natural, and more responsive.

Stanford University, 2024. Validated benchmark.
Layer 02
Quantum Channel
Photonic Communication Link

Intent is transmitted as a modulated photonic signal through a communication architecture informed by advances in quantum research, operating within the biological tissue optical transparency window. Designed for resistance to interception and signal disruption through physics, not software.

University of Innsbruck, 2024. Validated benchmark.
Layer 03
On-Body AI
Edge Inference

Ultra-low-power AI designed to run at the edge, directly with the user. Emerging photonic approaches offer sub-milliwatt operation while enabling near real-time signal decoding. The goal is to move beyond cloud-dependent systems toward on-body intelligence that responds immediately to user intent.

MIT Raman Lab, 2024. Validated benchmark.
Layer 04
Biological Touch Return
Next-Generation Sensory Feedback

Optogenetic activation of channelrhodopsin-expressing dermal cells through targeted photonic stimulation. This approach moves beyond traditional haptic systems to deliver touch signals that align with human perception at the cellular level, bringing interaction closer to real sensation.

Deisseroth Lab, Stanford · MIT Raman Lab, 2024.
< 10
MILLISECONDS

The complete bidirectional loop from pre-motor neural signal detection to biological haptic return operates below the 20ms human sensorimotor perception threshold.

The science behind each layer has been independently validated in peer-reviewed literature. Project Juvet is the first system designed to integrate them into a single co-fabricated wearable construct. In April 2026, Northwestern University published in Nature Nanotechnology a demonstration of printed bioelectronic neurons communicating directly with living brain tissue, further validating the biological interface layer approach.

$70B+ total addressable market by 2030.

$21B
Surgical Robotics

Surgeons operating through robotic systems lose tactile feedback. Project Juvet is designed to restore it with quantum-precise sensing and genuine biological touch return. Over 1.5 million da Vinci procedures are performed annually with no haptic feedback available to the operating surgeon.

$17B
Defense & Security

Secure command channels that cannot be jammed or intercepted. Physical-layer quantum communication provides security no adversary can defeat through computational advances. Applications include explosive ordnance disposal, teleoperated reconnaissance, and contested-environment operations.

$14B
Rehab & Prosthetics

Prosthetic limbs that feel. Rehabilitation robotics that respond to neural intent in real time. A pathway to restoring genuine sensory experience for amputees currently facing a 40 percent prosthetic abandonment rate driven primarily by the absence of sensation.

$18B
Industrial & Hazardous

Bomb disposal. Chemical plants. Nuclear facilities. Offshore platforms. Environments where human presence means risk and where current teleoperation tools force operators to make high-consequence decisions without tactile information.

48 months. Four phases.

Phase 01
Months 0-6

Biological Substrate Validation

Tri-layer GelMA-fibrin scaffold fabrication with quantum dot bioink incorporation and ChR2-expressing dermal fibroblast integration. Target: greater than 90 percent cell viability at day 7 post-printing.

Phase 02
Months 3-14

Quantum Sensing Integration

Ag2S NIR-II quantum dot incorporation and signal fidelity validation at 1.4x beyond classical shot-noise limit in the co-fabricated construct environment.

Phase 03
Months 14-30

Photonic Communication & AI Inference

QKD-secured entangled photon channel validation at 92 percent fidelity. Sub-milliwatt photonic AI inference below 5ms classification latency.

Phase 04
Months 30-48

Full System Integration

Closed-loop bidirectional operation below 10ms end-to-end latency. First-in-class integrated construct ready for IRB-reviewed human factors studies.

Where we are.

Patent
Provisional filed USPTO March 29, 2026. Non-provisional filing due March 2027.
Government Engagement
Active DARPA ERIS submission. NIH NIBIB dialogue in progress.
Academic
Pursuing research collaborations with faculty at Arizona State University.
Capital
$1M pre-seed SAFE round on AngelList. $3M post-money cap, 20% discount.
Entity
Looking Glass Robotics, LLC. SAM.gov registered (UEI: VGC2AXQTFRE4).

Building at the frontier, together.

Looking Glass Robotics is actively seeking partners whose technology operates at the frontier of each layer of the Project Juvet architecture.

01
Bioprinting & Tissue Engineering
Phase 1, Immediate
02
Quantum Dot Materials
Phase 2, Month 3
03
Quantum Hardware
Phase 3, Month 14
04
Optogenetics & Photonic AI
Phase 3-4