Edge AI · Spatial Computing · Mobile Apps · Custom Hardware

We Bridge the Gap Between AI, XR & Hardware

We engineer high-performance systems bridging edge artificial intelligence, spatial computing (XR), and custom hardware. From device drivers to native mobile companion apps and agentic workflows, we build the software that powers next-generation products.

Bespoke Systems Engineering

End-to-end capabilities spanning local NPU intelligence, custom Android platforms, and real-time C++ optimizations.

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AI Workflows & Automation

Custom LLM integrations, model fine-tuning, training pipelines, and agentic workflows. We design scalable AI backend systems that automate complex operations and connect cloud-to-edge applications.

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XR & Mobile Development

Immersive spatial computing and native mobile app development. We build for Android XR, Meta Quest, Apple Vision Pro, iOS (Swift/SwiftUI), and Android (Kotlin/Jetpack Compose), from spatial overlays to hardware companion apps.

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Embedded C++, HAL & Drivers

Low-level kernel development, custom Linux/Android device drivers, and Hardware Abstraction Layer (HAL) integrations. We optimize C++ firmware execution, reduce memory footprints, and build real-time data pipelines.

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AI Consumer Hardware

Co-designing software-hardware systems for smartglasses, wearable AI pins, and edge devices. We run local NPU vision/voice inferences, optimize sensor-fusion, and implement Nest-grade battery/thermal saving algorithms.

Our Core Tech Stack

We work at the intersection of embedded hardware platforms, spatial rendering layers, and neural models.

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Spatial, XR & Mobile

Android XR OpenXR SwiftUI (iOS) Kotlin (Android) Unity 3D Vulkan / WebGL
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Embedded & Low-Level

C++20 / C Linux Kernel AOSP HAL Device Drivers WebRTC / SRT
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AI & Silicon Intelligence

ARM NPUs TensorFlow Lite ONNX Runtime YOLO / OpenCV PyTorch

Our Onboarding Process

A structured, velocity-focused engineering lifecycle to audit, optimize, and hand over production-grade code.

01

Technical Audit

We analyze your hardware constraints, profile your memory footprints, and isolate performance bottlenecks on target silicon.

02

Architecture Design

We draft a precise technical blueprint defining custom HAL integrations, driver scopes, or spatial shader designs.

03

Rapid Sprint Execution

We build in focused 2-week iterations, running continuous latency, battery, and compute benchmark tests on hardware.

04

Metric-Backed Handoff

We deliver clean, fully commented code repositories alongside raw testing logs validating your performance improvements.

Start Your Project with PKSpark Labs

Tell us about your Android XR, embedded systems, or custom AI workflow challenges. Our engineering team will review your inquiry and reach out within 24 hours.