Automation specialist Emerson has introduced a raft of Nigel AI upgrades across its software portfolio that, it says, enable a reduction in test development time and effort of up to 50% across representative engineering workflows.
This next phase of Nigel AI introduces prompt-based code generation within NI LabView and automated sequence generation in NI TestStand, enabling engineers to move from design to validation more quickly while maintaining the rigor required in mission-critical applications.
As product complexity increases and validation cycles grow more demanding across industries, engineering teams face pressure to deliver higher throughput without sacrificing quality.
Emerson’s approach embeds context-aware AI directly into the test environments engineers already use, helping streamline development while ensuring robust security, alignment with regulatory requirements such as the Cyber Resilience Act (CRA) and strong engineering oversight.
“In one year, Nigel has evolved from an AI advisor to AI author, showing the strength of the NI platform and its ability to integrate the most in-demand technologies quickly for the benefit of our customers,” said Ritu Favre, president of Emerson’s test and measurement business.
“By enabling purpose-built AI to generate code and test sequences within workflows, we’re accelerating productivity while ensuring engineers remain in control of validation and decision-making.”
With this release, Nigel AI is now available across the broader NI LabView+ Suite, bringing AI-driven workflows to NI InstrumentStudio, NI FlexLogger and NI VeriStand. The expansion brings context-aware intelligence into interactive measurements, sensor-based datalogging and hardware-in-the-loop test environments. Engineers can apply AI capabilities consistently across the full test lifecycle – from initial development through system validation and deployment.
Nigel AI is purpose-built for engineering environments and operates directly within structured test workflows. It leverages modular instrumentation, open software systems, configurable workflows, engineering code and structured data to produce outputs aligned with real-world system constraints.
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