CrosswareContact Us →
Platform engineering

NXP i.MX95 for intelligent, connected products.

A platform for products that need modern application processing, rich graphics, multiple real-time data paths and on-device intelligence. Crossware connects the BSP, accelerated compute and user experience into one production-ready system.

Yocto LinuxAndroidQtEdge AICamera pipelines
Embedded driver monitoring and edge AI interface

Edge AI and HMI integration on production embedded platforms

Engineering scope

From evaluation hardware to a maintainable product platform.

Crossware works where board support, accelerated hardware and the product application meet. The exact scope is adapted to the selected device, board design and delivery stage.

01

Board bring-up

Boot, memory, networking, displays, cameras and hardware interfaces validated on custom boards.

02

Linux & Android

Yocto layers, device trees, kernel integration and Android platform work aligned with the product hardware.

03

Edge AI

NPU-aware inference pipelines, model integration and application interfaces for vision-based products.

04

Cockpit & HMI

Qt interfaces, multi-display architecture, accelerated composition and responsive application behaviour.

Software architecture

The stack we can build and integrate.

Platform foundation

  • U-Boot and boot-chain configuration
  • Linux device trees and kernel drivers
  • Yocto image and update architecture

Graphics & multimedia

  • DRM/KMS and Wayland
  • Qt rendering and composition
  • GStreamer camera and video pipelines

Product engineering

  • Performance and boot profiling
  • Hardware-software integration
  • Validation and lifecycle support
Related work

Relevant engineering case studies.

These projects demonstrate related platform, graphics, multimedia or product-integration capabilities. Platform-specific delivery depends on the selected hardware and programme scope.

Coming soon

New i.MX95 and MCU utilisation case

A new project reference covering i.MX95 platform engineering and MCU utilisation is currently being prepared.

Case study coming soon
Related case study

Edge AI vision pipeline

Camera-to-inference integration with production-focused performance and application interfaces.

Read case study →
Start with the constraints

Tell us what the platform has to deliver.

Share your board, display, camera, operating-system and performance requirements. We will help define the shortest credible path from the current baseline to a production-ready system.

Talk to our engineers →