Try the leading CI platform for embedded devices free for a month
BeetleboxCI provides powerful DevOps for smart devices. Empowering engineering teams to increase security, save on costs, and cut development time.
Easily manage code running on fleets of embedded devices.
Build and test at large scale with no concurrency limits.
Increase productivity of hardware, firmware and embedded software engineers.
Perfect for hardware including: microcontrollers, microcomputers, embedded devices, IoT devices, Edge devices, FPGAs, ASICs and much more.
From tiny microprocessors to custom hardware chips, BeetleboxCI provides the DevOps solution for automating your smart devices
Transform the way that you develop with full scale automation.
Increase safety and security
Integrate security into your automation.
Reduce risk and costs
BeetleboxCI makes it easier to test earlier and more often.
Automate the next-generation of embedded devices
BeetleboxCI helps developers produce powerful automated pipelines that takes source code and delivers fully built and tested devices.
Setup powerful workflows
Automate the hundreds of tasks that can build, emulate, simulate, test, deploy, update and monitor your devices.
Catch bugs early
Test code more regularly and thoroughly. Monitor builds and tests in real time as they occur.
Automate your files
Manage all files used by your pipelines in a single place.
How BeetleboxCI works
BeetleboxCI allows developers to setup automated pipelines that connect to their version control systems, such as GitHub or GitLab, and deliver their built code to devices, like Raspberry Pis.
Common use cases for BeetleboxCI
Automate setting and managing IoT infrastructure, including connecting devices to the Cloud.
Identify issues in custom hardware early using features specifically built for embedded devices.
Mimic your devices and be able to run thousands of tests without using a single piece of hardware.
Retrieve data from devices and process them to gain a deeper understanding of your users.
Develop, deploy and continuously improve machine learning models for your devices.
Build automated flows to secure your devices and continuously deliver security updates.
Hardware-in-the-loop testing provides real inputs, run tests, and monitor on physical devices.
Continuously fetch data from devices to gain high visibility across your fleet of devices.