Emerson has announced new NI Nigel AI enhancements, including author code generation capabilities, across its full software portfolio. 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.
Based on internal benchmarking across representative engineering workflows, these capabilities reduce the time and effort required to develop and deploy test systems by up to 50%, accelerating test engineering productivity across industries like automotive, electronics, aerospace and defence, and semiconductors.
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. This evolution from supportive advisor to intelligent author enables faster workflows while maintaining traceability, governance and informed human judgment.
“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 in industries like semiconductors, electronics, aerospace and defence, and automotive. Engineers can now 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. This approach enables more reliable, actionable results while maintaining the standards required for complex, multi-system validation.
