● Optimal Chip, SoC, and Programmable Interface selection
● Essential I/O element integration (sensors, cameras, actuators, etc.)
● Sub-component interface definition
● Machine & services software architecture crafting
● PCB requirement specification
● ...
● Boot screen and launcher customization
● Kernel configuration tuning
● Network and connectivity adjustments
● Driver and Hardware Abstraction Layer (HAL) optimization
● Energy efficiency enhancements
● ...
● System service development
● Embedded code deployment (Bare/Real-time OS)
● Interface design and implementation
● I/O APIs creation and integration
● ...
● Real-time routine development
● State machine design and implementation
● SLAM (Simultaneous Localization and Mapping) integration
● Calibration loop optimization
● ...
● Model selection, fitting, and tuning
● Custom metric development for model evaluation
● On-premise or cloud-based model deployment
● Data collection and preprocessing from devices
● Continuous model support and iterative improvement
● ...
● UI/UX design focused on usability
● Application development (Android, node.js, etc.)
● Remote control app setup and optimization
● Continuous improvement based on user feedback
● ...
● Monitoring platform setup
● Data collection and database integration
● Inter-device synchronization and interaction
● Batch control implementation
● Remote API setup with Rust
● Kubernetes for orchestration and scalability
● ...
● Machine management platform setup
● State and version tracking
● On-device store management
● CI/CD pipeline implementation with testing
● DevOps as a Service for continuous improvement
● ...
● Security-focused OS patches
● OS updates for bug fixes and enhancements
● Reactive debug and support services
● ...
At Embedded Factory, we maintain our own infrastructure: With multi-architecture and multi-location Kubernetes clusters, SAN, GPUs, DB-optimized hardware, and redundancy in power and internet connectivity, we are fully equipped to support your project.
Easy Deployment: We handle the development and are fully aware of your constraints, allowing us to easily adapt to them, even if it requires specific infrastructure needs. We prefer using open-source solutions, like Puppet and OpenStack, to avoid locking you into a public cloud provider, which is even more crucial at the start of a project.
Monitoring: We monitor your services and integrate alerts just as we do for our own services, ensuring that we always keep an eye on your deployments.
Scalability: Our development approach always considers the potential for multi-cloud scaling by utilizing standards like Infrastructure-as-Code to define the hardware architecture.
Cost-Effectiveness: Provisioning a cluster and various types of hardware on a public cloud can be very costly, especially during the early stages of a project when services are idle most of the time. Sharing a cluster is a solution.
When it suits your project, we strongly encourage you to choose our infrastructure.