Augmenting Reality. Enhancing Human Experience
Xtended Reality [AR/VR] Development Services
Augmented and Virtual Reality are rapidly transitioning from niche technologies to everyday consumer experiences, driven by the evolution of smart glasses and immersive devices that are smaller, lighter, and more power-efficient. As XR hardware advances, system-on-chips (SoCs) are expected to deliver desktop-class graphics and AI performance within strict mobile power and thermal constraints.
Achieving truly immersive XR experiences requires consistent high frame rates typically 90 to 120 FPS to ensure visual fidelity, responsiveness, and user comfort while avoiding motion sickness.
MulticoreWare brings deep expertise in architecture-aware performance optimization across CPU, GPU, NPU, and DSP architectures, enabling XR companies to accelerate real-time rendering, AI inference, model optimization, and complex sensor processing pipelines on production hardware.
XR Stack
- Application & Game Engines
- Platform SDKs and Services
- Runtime Integration
- Middleware/Drivers
- Sensor Fusion & Perception
- OS & Platform
- Firmware & Embedded
- Hardware
XR Segments & Offerings
Segments:
- Platforms & Sensors
- Models and Frameworks
AI & Computer Vision
VSLAM Algorithms, OpenCV, Object Recognition, Camera ISP Tuning
Cloud XR
MulticoreWare enables high-performance Cloud XR by offloading GPU-intensive rendering and scene processing to cloud infrastructure, with real-time streaming of rendered frames to lightweight XR devices. We optimize the full Cloud XR pipeline, including ultra-low-latency transport, adaptive bitrate & resolution control and encoder–decoder optimization for delivering immersive experience.
Platforms and Sensors:
Optimizing Vision and Audio Algorithms for Real Time across CPU / GPU / DSP / NPU
Optimizing Vision and Audio Algorithms for Real Time across CPU / GPU / DSP / NPU
Low-Level ISA-Specific Optimization
Low-Level ISA-Specific Optimization
Our engineers perform low-level, instruction set architecture (ISA)–specific optimizations to extract maximum performance from target hardware platforms. This includes leveraging SIMD, vector instructions, and hardware intrinsics to accelerate critical compute paths, reduce instruction overhead, and achieve deterministic performance essential for real-time XR workloads.
Sensor / Compute Selection
Sensor / Compute Selection
BSP, Firmware + Driver Development
BSP, Firmware + Driver Development
We develop and customize board support packages (BSPs), firmware, and device drivers to enable stable, high-performance operation of AR/VR hardware. This includes hardware bring-up, power management, and low-latency data paths ensuring seamless integration between sensors, compute, and operating systems.
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Sensor Fusion – IMUs, Cameras, Depth Sensors, Environmental Sensors
Sensor Fusion – IMUs, Cameras, Depth Sensors, Environmental Sensors
We design and optimize advanced sensor fusion pipelines that combine data from IMUs, cameras, depth sensors, and environmental sensors to deliver accurate spatial tracking and environmental awareness. These fusion algorithms enable head tracking, gesture recognition, scene understanding, and low-drift motion estimation critical for immersive AR/VR experiences.
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Benchmarking & Profiling
Benchmarking & Profiling
We perform comprehensive benchmarking and profiling across hardware and software stacks to identify performance bottlenecks and optimization opportunities. Using industry-standard and custom tools, we measure latency, throughput, power consumption—ensuring XR systems meet real-world performance and reliability targets.
Camera ISP Tuning
Camera ISP Tuning
We tune camera image signal processors (ISPs) to achieve optimal image quality and low-latency capture for AR/VR applications. This includes optimizing exposure, white balance, noise reduction, HDR, and color processing to deliver consistent, high-quality visual inputs that enhance tracking accuracy and overall immersive experience.
Models and Frameworks:
Model Optimization for Real-Time Interactions:
We optimize AI/ML models to meet the strict latency, frame-rate, and power requirements of real-time immersive XR experiences. This includes model pruning, quantization, and architecture tuning enabling responsive interactions such as hand tracking, eye tracking, spatial mapping, and object recognition without compromising visual fidelity or user comfort. Read More
Embed & Integrate AI/ML Models
We embed and seamlessly integrate AI/ML models into XR applications, engines, and system-level pipelines. We ensure tight coupling between AI workloads and rendering, sensor, and interaction stacks, enabling efficient execution across heterogeneous compute units such as CPU, GPU, NPU, and DSP while maintaining portability across devices and platforms.
AI Model Zoos
We maintain and leverage curated AI model zoos with pre-trained and optimized models tailored for XR use cases, including vision, perception, tracking, and scene understanding. To know more about our Model Zoo experience. Read More
Optimize Inference Pipelines
We optimize end-to-end inference pipelines to reduce latency, improve throughput, and minimize memory bandwidth usage. By streamlining data movement, scheduling workloads efficiently, and exploiting hardware acceleration, enabling consistent frame rates essential for immersive, comfortable AR/VR experiences. Read More
Frameworks Enablement
We optimize end-to-end inference pipelines to reduce latency, improve throughput, and minimize memory bandwidth usage. By streamlining data movement, scheduling workloads efficiently, and exploiting hardware acceleration, enabling consistent frame rates essential for immersive, comfortable AR/VR experiences. Read More
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