Farnell Expands Global Access to Emerson’s NI Nigel™ AI, Ushering in a New Era of Automated Test and Measurement
LEEDS, UK — In a strategic move to accelerate innovation within the test and measurement sector, global electronic component and technology distributor Farnell has announced a significant expansion of access to NI Nigel™ AI from Emerson. This next-generation artificial intelligence technology, engineered from the ground up specifically for test, measurement, and validation environments, is no longer limited to basic assistant tasks. Thanks to a robust suite of new capabilities—including sophisticated code generation and automated test development across the entire NI software portfolio—Nigel AI has evolved into a true AI author.
By making this advanced tool widely available through its extensive global distribution network, Farnell is enabling engineering teams of all sizes to integrate domain-specific artificial intelligence directly into their existing workflows. The integration promises to drastically reduce development times for software-defined and connected engineering systems while preserving the uncompromising rigor, safety, control, and validation standards demanded by modern industrial applications.
Main Facts: What is NI Nigel AI and Why Does it Matter?
The rapid proliferation of software-defined systems, Internet of Things (IoT) devices, 5G/6G communications, and complex automotive architectures has fundamentally altered the landscape of test and measurement engineering. Modern engineering systems are exponentially more complex than their predecessors, placing immense pressure on test engineers to design, build, debug, and validate systems faster than ever before. Historically, this acceleration came at the risk of compromised quality or extended development cycles.
NI Nigel AI was created by Emerson to break this trade-off. Unlike general-purpose large language models (LLMs) such as ChatGPT or Claude—which lack deep contextual awareness of hardware test systems, proprietary measurement hardware, and complex industrial instrumentation—Nigel AI is deeply embedded within the NI ecosystem.
Key capabilities of the newly enhanced Nigel AI platform include:
- AI-Assisted Authoring: Moving beyond simple operational support, Nigel AI now features prompt-based code generation natively within NI LabVIEW™ and automated test sequence generation within NI TestStand™.
- Contextual Engineering Awareness: The AI understands specific engineering workflows, existing test system architectures, and complex application data.
- Full Lifecycle Integration: Nigel AI connects hardware, software, data, and engineering workflows, providing intelligent assistance across the entire test lifecycle—from initial development and debugging to troubleshooting, sequence development, and final deployment.
- Global Accessibility: Through Farnell’s distribution network, engineers worldwide can seamlessly acquire and integrate the technology into their current operational environments without overhauling their existing infrastructure.
Chronology: From Concept to NI Connect 2026 Breakthrough
The journey of embedding artificial intelligence into the NI software ecosystem represents a multi-year commitment by Emerson to modernize test engineering.
- The Vision Phase: Recognizing that general-purpose AI tools were failing to meet the rigorous demands of hardware-software integration, Emerson’s software teams began developing an AI assistant tailored specifically to engineering datasets, measurement protocols, and instrumentation control languages.
- Integration and Early Prototyping: The initial iterations of Nigel AI functioned primarily as an intelligent assistant, helping engineers comprehend existing codebases and offering troubleshooting suggestions within isolated test environments.
- The Evolution to AI Authoring: Building on user feedback and continuous learning models, Emerson expanded Nigel AI’s architecture to support active code and sequence generation. This transformed the tool from a passive advisor into an active partner capable of writing LabVIEW code and TestStand sequences based on natural language prompts.
- The NI Connect 2026 Demonstration: The true transformative potential of the updated platform was showcased at NI Connect 2026. During the event, Emerson engineers presented a live, concrete demonstration of Nigel AI tackling a complex, real-world development task. Using conventional AI coding assistants, the task had previously required approximately 20 hours of concentrated work spread over a two-week period. Powered by Nigel AI, the workflow was successfully completed in just 20 minutes, producing fully functional, verified results on the very first attempt.
- Global Commercial Rollout via Farnell: Following its technical validation, Farnell stepped in to widen global access to the technology, rolling out the software campaign and making the AI-ready NI platform tools immediately available to its vast customer base of design and test engineers.
Supporting Data & The Challenge of Modern Test Environments
To understand the profound impact of Nigel AI, one must examine the macro-economic and technical challenges currently facing test engineering departments across aerospace, defense, automotive, semiconductor, and consumer electronics industries.
The Complexity Crisis in Test Engineering
Modern engineering projects are increasingly defined by software rather than dedicated hardware. As systems grow more interconnected, the volume of test data generated has skyrocketed. According to industry observations, test and validation phases frequently consume up to 35% to 50% of total product development timelines.
Engineers face a "triple constraint" in modern test environments:
- Time-to-Market Pressures: Shorter product lifecycles demand rapid deployment of validation systems.
- Rising Complexity: Multi-channel mixed-signal systems, RF testing, and automated hardware-in-the-loop (HIL) simulations require intricate programming and sequencing.
- Strict Validation Standards: Industries such as medical devices, automotive (ISO 26262), and aerospace (DO-178C) leave zero room for error, requiring exhaustive documentation, code reviews, and validation trails.
Quantifying the Productivity Gain
The demonstration at NI Connect 2026 provides compelling quantitative data regarding the efficiency gains of domain-specific AI. By cutting a 20-hour, two-week development cycle down to a 20-minute automated session, Nigel AI achieved a 60x speedup in task execution. Crucially, this reduction in time did not sacrifice accuracy; the generated code operated correctly on the first attempt, proving that context-aware AI can eliminate repetitive boilerplate coding without introducing software vulnerabilities or breaking compliance protocols.
Official Responses: Industry Leaders Weigh In
The collaboration between Emerson and Farnell to deliver Nigel AI to a broader global audience has garnered enthusiastic responses from executive leadership at both organizations.
Andy Weatherill, Global Head of Product and Technology at Farnell, emphasized the critical importance of practical, sector-specific AI integration:
"AI has enormous potential to improve engineering productivity, but its real value emerges when it integrates naturally with the way engineers work every day. By making Emerson’s NI Nigel AI available through Farnell, we help customers adopt an artificial intelligence designed specifically for the sector, capable of enhancing engineering expertise, accelerating development and supporting the high standards of quality and validation required by modern test environments."
Echoing this sentiment, Siddarth Sethi, Vice President and General Manager of NI Test and Analytics Software (Test & Measurement) at Emerson, highlighted the collaborative nature of human-AI interaction in high-stakes engineering:
"The future of AI in engineering is not about replacing engineers, but about improving the way they work. Nigel brings artificial intelligence directly into the systems, workflows and data engineers rely on every day, combining speed and rigour and helping teams confidently tackle increasingly complex challenges."
Both leaders agree that the ultimate goal of Nigel AI is empowerment: liberating skilled engineers from mundane, repetitive coding tasks so they can focus on higher-level system architecture, innovative problem-solving, and rigorous validation.
Implications: What This Means for the Future of Test & Measurement
The widespread availability of NI Nigel AI through Farnell marks a watershed moment for the test and measurement industry. Its implications stretch across several key dimensions:
1. Democratization of Advanced Test Development
Historically, mastering environments like LabVIEW and TestStand required extensive specialized training and years of experience. By introducing natural language, prompt-based code and sequence generation, Nigel AI lowers the barrier to entry for junior engineers while supercharging the output of senior specialists. Organizations of any size—from nimble startups to multinational enterprises—can now leverage advanced test automation architectures without needing an army of dedicated software developers.
2. Redefining the Engineer’s Role
Rather than displacing human labor, domain-specific AI is redefining the engineering job description. Engineers are shifting from "coders and scripters" to "architects and reviewers." Because Nigel AI operates within a framework where the human engineer maintains absolute control over review, validation, and deployment, the engineer acts as an expert supervisor—prompting the AI, reviewing generated sequences, and ensuring that safety and performance benchmarks are strictly met.
3. Accelerated Time-to-Market for Critical Technologies
In sectors like electric vehicle (EV) powertrains, 5G infrastructure, and aerospace avionics, delays in the test lab can stall the launch of entire product lines. By compressing weeks of test development into minutes, companies utilizing Nigel AI can prototype faster, catch design flaws earlier in the validation cycle, and bring safer, higher-quality products to market significantly ahead of competitors.
4. Setting a New Benchmark for Industrial AI
The rollout of Nigel AI serves as a powerful proof-of-concept for vertical-specific AI. While generic AI tools will continue to occupy spaces like general copywriting or basic web development, the future belongs to deeply integrated, domain-aware platforms that understand the physical constraints, protocols, and proprietary frameworks of specialized industries. Emerson and Farnell have established a blueprint for how industrial technology providers must deliver AI in the years ahead.
Conclusion
As engineering systems continue to increase in complexity, the traditional methods of manual test development and code authoring are reaching their limits. The integration of NI Nigel AI into the global supply chain via Farnell represents a vital leap forward for the test and measurement industry.
By bridging the gap between high-level artificial intelligence and the rigorous demands of industrial test environments, Emerson and Farnell are empowering engineers worldwide to work smarter, move faster, and build the complex, software-defined systems of tomorrow with unprecedented confidence and precision.
For more information on NI Nigel AI and to explore software campaign resources, visit Farnell’s official portal at Farnell NI Software Campaign.
