GravityXR provides an integrated XR SoC that combines GPU, NPU, and DSP cores to handle graphics, vision AI, and signal processing for AR/VR/MR headsets. The chip supports 4K+ displays at 90 Hz with multi‑sensor I/O and includes a SDK with APIs for SLAM, hand‑tracking, and eye‑tracking, plus reference designs and technical support to accelerate OEM development.
Funding
Funding not disclosed
Founders
Product
Problem
XR headsets and smart glasses require ultra‑low latency, high‑resolution display pipelines and real‑time perception processing, but existing semiconductor solutions are often fragmented, power‑inefficient, and lack tight integration of sensing, imaging, and display functions. This limits device performance, battery life, and the ability to deliver immersive experiences at scale.
Solution
GravityXR delivers a purpose‑built XR chip platform that consolidates display, sensing, and imaging workloads onto a single high‑integration SoC. The platform embeds dedicated hardware accelerators for graphics, vision AI, and signal processing, enabling high‑frame‑rate, high‑resolution rendering with minimal power draw. A comprehensive software toolkit provides APIs, drivers, and algorithm libraries for SLAM, hand‑tracking, eye‑tracking, and image signal processing, reducing development effort for OEMs. GravityXR also offers end‑to‑end technical services, including component selection, reference design, and prototype support, to accelerate time‑to‑market for next‑generation AR/VR/MR devices.
Target Audience
Primary customers are OEMs and device manufacturers developing AR, VR, and MR headsets or smart glasses that require tightly integrated, low‑power processing solutions for immersive experiences.
Features
- Custom XR‑optimized SoC with integrated NPU, DSP, and GPU cores for parallel processing of graphics and AI workloads
- Multi‑sensor I/O (camera, depth, IMU, eye‑tracking) with hardware‑accelerated ISP and computer‑vision pipelines
- High‑bandwidth display interface supporting 4K+ resolution at 90 Hz+ with low‑latency frame buffering
- Power‑management engine that dynamically scales voltage and frequency to meet strict battery constraints
- SDK and driver suite offering standardized APIs for SLAM, gesture recognition, eye‑tracking, and image enhancement
- Reference hardware designs and FPGA prototyping kits to streamline system integration and validation
- End‑to‑end support services: component selection, PCB layout assistance, firmware development, and production ramp‑up guidance
- Compatibility with major XR development frameworks and optional FHIR‑style data export for analytics platforms