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AI Integration into Test Automation Architectures for Mission-Critical Systems
Emerson and NVIDIA collaborate to integrate generative AI capabilities into modular test software, accelerating development cycles for aerospace, semiconductor, and transportation engineering sectors.
www.ni.com
Emerson is expanding its NI Nigel AI technology across its test and measurement software portfolio to address increasing complexity in industrial automation and digital infrastructure. This development involves a collaborative ecosystem including NVIDIA and industrial partners such as Alstom and Valeo. The cooperation aims to solve the challenge of lengthy manual code generation and troubleshooting in mission-critical environments where high-reliability standards must be maintained during rapid development cycles.
Technical Solution and Functional Architecture
The core of this implementation is the integration of prompt-based code generation into the LabVIEW+ Suite and across the broader software stack, including TestStand and SystemLink. Nigel AI functions as a test-optimized generative engine designed to operate within the constraints of rigorous engineering environments.
The system architecture relies on three integrated layers:
- Hardware Layer: Utilizes modular components characterized by low size, weight, and power (SWaP) consumption, supporting high-performance data movement and precise timing for diverse signal types.
- Software Layer: Connects operating environments through open interfaces, allowing for the deployment of AI-ready test sequences.
- Data Foundation: A unified data structure facilitates the capture and reuse of measurement data, enabling long-term analytics and cross-site collaboration.
Responsibilities are divided between the platform provider and hardware partners to ensure that AI-generated code adheres to measurement integrity and system reliability standards.
Deployment and Industrial Implementation
The solution is being deployed within the NI LabVIEW+ Suite, with expanded integration scheduled for 2026 across FlexLogger and InstrumentStudio. During technical demonstrations at NI Connect, partners such as Alstom and Valeo illustrated the integration of these AI-ready platforms into their existing validation workflows. The deployment focuses on maintaining transparency and control, allowing engineers to verify AI-generated logic against established safety parameters.
Operational Impact and Use Cases
The primary application areas include the development and validation of next-generation semiconductors and transport systems. By embedding AI into the test lifecycle—from initial development to final deployment—engineering teams can reduce the time required for troubleshooting. Internal testing conducted by Emerson indicates that the implementation of Nigel AI can reduce specific test development tasks from durations of several days or hours to minutes.
The integration of AI-ready test automation provides measurable benefits in process stability and maintainability. It allows for the automation of repetitive coding tasks while ensuring that the resulting scripts remain compatible with standardized modular hardware, thereby optimizing the feedback loop between product design and physical validation.
Edited by Evgeny Churilov, Induportals Media - Adapted by AI.
www.ni.com
Deployment and Industrial Implementation
The solution is being deployed within the NI LabVIEW+ Suite, with expanded integration scheduled for 2026 across FlexLogger and InstrumentStudio. During technical demonstrations at NI Connect, partners such as Alstom and Valeo illustrated the integration of these AI-ready platforms into their existing validation workflows. The deployment focuses on maintaining transparency and control, allowing engineers to verify AI-generated logic against established safety parameters.
Operational Impact and Use Cases
The primary application areas include the development and validation of next-generation semiconductors and transport systems. By embedding AI into the test lifecycle—from initial development to final deployment—engineering teams can reduce the time required for troubleshooting. Internal testing conducted by Emerson indicates that the implementation of Nigel AI can reduce specific test development tasks from durations of several days or hours to minutes.
The integration of AI-ready test automation provides measurable benefits in process stability and maintainability. It allows for the automation of repetitive coding tasks while ensuring that the resulting scripts remain compatible with standardized modular hardware, thereby optimizing the feedback loop between product design and physical validation.
Edited by Evgeny Churilov, Induportals Media - Adapted by AI.
www.ni.com
