Systems & Software Development:
Continuous Integration and
Continuous Deployment (CI/CD)

 

Accelerate development with LHP's CI/CD solutions, ensuring rapid testing,
seamless integration, and enhanced quality for embedded systems
and data-driven applications.

Accelerating Delivery with CI/CD Solutions

At LHP, our Continuous Integration and Continuous Deployment (CI/CD) capabilities are designed to accelerate the delivery of safe, intelligent, and AI-driven systems across embedded software and advanced analytics environments. Whether supporting automotive OEMs, Tier 1s, or industrial clients, our CI/CD pipelines automate the build, test, and deployment of complex software and AI models. This infrastructure enables rapid iteration, robust version control, and seamless integration of software changes, ensuring that every update is verified and validated in real time.

LHP's CI/CD solutions are deeply integrated with our certified process and are tailored to support the unique demands of AI workflows—such as managing training data, deploying machine learning models, and monitoring performance in production. From embedded code to AI pipelines, our CI/CD frameworks reduce cycle times, improve quality, and support regulatory compliance.

At LHP, CI/CD is more than automation. It’s the backbone of agile, scalable, and resilient systems that evolve with every AI innovation.

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Streamlining the AI Model Lifecycle with CI/CD

Artificial Intelligence adds new complexity to the software development process. Training, validating, and deploying models requires careful coordination across teams and tools. LHP’s CI/CD solutions bring structure and automation to the AI model lifecycle, ensuring models are reliable, reproducible, and ready for real-world deployment.

Our CI/CD pipelines integrate with machine learning workflows to:

 

By embedding AI workflows into the same CI/CD pipelines that govern embedded software, LHP reduces cycle times, strengthens compliance, and ensures every AI-powered system evolves safely and predictably.

CI/CD for Embedded and Edge AI

Deploying AI in embedded systems and edge environments is fundamentally different from running models in the cloud. Devices such as vehicle ECUs, industrial controllers, and IoT gateways have strict limitations around processing power, memory, and latency—while often needing to meet rigorous safety and compliance requirements.

LHP’s CI/CD solutions are tailored to these unique demands, ensuring that AI models can be deployed, tested, and monitored seamlessly across embedded and edge platforms.

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Cross-Compilation and
Platform-Specific Builds

Embedded devices often run on specialized hardware and real-time operating systems (RTOS). LHP integrates cross-compilation and environment-specific build processes into the CI/CD pipeline, ensuring that every AI model and supporting software component is optimized for the target platform without manual intervention.

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Hardware-in-the-Loop (HIL)
and Edge Testing

AI behavior cannot be validated through software simulation alone especially when timing, safety, and hardware interactions matter. Our pipelines incorporate Hardware-in-the-Loop (HIL) and edge-level testing, automatically validating AI models against real-world conditions before deployment. This reduces integration risks and ensures that edge AI operates reliably in production environments.

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Lightweight Deployment for Resource-Constrained Devices

Unlike cloud environments, embedded and edge devices have limited CPU, GPU, and memory capacity. LHP’s CI/CD frameworks streamline model optimization techniques, such as pruning, quantization, and containerization, so AI models can run efficiently without sacrificing performance. Automated pipelines ensure these optimizations are consistently applied during every deployment.

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Safety-Critical
Integration

For domains like automotive, aerospace, and industrial automation, deploying AI models requires adherence to functional safety standards such as ISO 26262. Our CI/CD processes enforce strict validation, regression testing, and traceability at every stage, helping customers deploy AI models that meet both technical and regulatory requirements.

 

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Real-Time Monitoring
and Feedback Loops

Once deployed at the edge, AI models must adapt to changing inputs and conditions. LHP’s CI/CD pipelines embed monitoring capabilities directly into the edge environment, tracking latency, inference accuracy, and system resource usage. Feedback loops automatically trigger retraining or rollback workflows, ensuring that edge-deployed AI remains both performant and trustworthy.

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Delivering Reliable AI
at the Edge

By combining embedded expertise with modern DevOps practices, LHP enables customers to bring AI out of the lab and into real-world, safety-critical environments. Our CI/CD solutions reduce cycle times, enhance reliability, and ensure that every deployment,  no matter how constrained the device, is robust, secure, and scalable.

Why CI/CD Matters

CI/CD is the engine behind faster, smarter, and safer innovation, and at LHP, it's built with your complex development needs in mind. For customers developing embedded systems, our CI/CD pipelines automate testing and validation in environments where safety, quality, and speed are critical. For data-driven applications, CI/CD enables real-time integration and deployment of machine learning models, predictive maintenance tools, and analytics dashboards. This means your teams can push updates more frequently, adapt quickly to shifting requirements, and maintain consistent performance, without introducing risk. LHP’s CI/CD framework also enables the continuous ingestion, analysis, and testing of big data collected from vehicles, industrial assets, or edge devices, turning raw inputs into refined outputs faster. 

 

The result?

Reduced defects, faster release cycles, and lower cost of quality. Whether you’re working on ADAS, EV platforms, digital twins, or cloud-to-edge analytics, LHP’s CI/CD solutions ensure your systems are continuously improving, powered by real-time data and intelligent automation.

 

 

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