Emerson Nigel AI LabVIEW: Accelerating Test Automation

flowchart LR
    A[Engineer Prompt] --> B[Nigel AI Engine]
    B --> C[LabVIEW G-Code]
    B --> D[TestStand Sequence]
    style A fill:#2b323c,stroke:#556070,color:#fff
    style B fill:#1e3a8a,stroke:#3b82f6,color:#fff
    style C fill:#0f172a,stroke:#475569,color:#fff
    style D fill:#0f172a,stroke:#475569,color:#fff

The Next Phase of Test Engineering

Test system development has historically been a bottleneck in hardware manufacturing. Engineers spend countless hours wiring LabVIEW block diagrams and configuring deep hierarchical sequences in TestStand. The July 2026 release of Emerson’s Nigel AI directly addresses this friction. By integrating generative AI natively into NI LabVIEW and NI TestStand, Emerson aims to reduce test system development time by up to 50%.

Instead of manually dragging VIs (Virtual Instruments) or configuring adapter parameters, test engineers can now leverage prompt-based code generation. This shift allows teams to focus on test coverage and hardware characterization rather than the mechanics of G-code wiring.

Key Takeaways

• Native AI integration within LabVIEW and TestStand environments.
• Prompt-based generation of G-code and test sequences.
• Significant reduction in boilerplate configuration time.
• Maintains full deterministic control and execution reliability.

How Nigel AI Changes LabVIEW Development

LabVIEW’s graphical nature (G-code) presents unique challenges for large language models, which are traditionally trained on text-based languages like Python or C++. Emerson bridged this gap by training Nigel AI on a vast repository of optimized LabVIEW patterns. When an engineer prompts the system for a specific measurement routine, Nigel AI constructs the block diagram structure, wires the necessary data flows, and handles error clusters automatically.

flowchart TD
    Start([Start Test Dev]) --> Prompt[Input Natural Language Prompt]
    Prompt --> Parse{Nigel AI Processing}
    Parse -->|LabVIEW| GCode[Generate G-Code Block Diagram]
    Parse -->|TestStand| Seq[Generate Sequence Steps]
    GCode --> Review[Engineer Review & Validation]
    Seq --> Review
    Review --> Deploy([Deploy to Hardware])

A common frustration for seasoned LabVIEW developers is managing spaghetti code inherited from previous projects. Nigel AI helps mitigate this by generating code that adheres to strict style guidelines and modular architectures, such as the Queued Message Handler (QMH) pattern.

Automating TestStand Sequences

While LabVIEW handles the low-level instrument control, TestStand orchestrates the overall execution flow. Configuring TestStand involves defining parameters, step types, and execution flow controls. Nigel AI accelerates this by generating complete test sequences based on test requirement documents.

Engineers can describe the required test flow, limit conditions, and reporting requirements. The AI then populates the TestStand sequence file, configuring the appropriate step modules and parameter passing. This capability drastically reduces the manual data entry typically required for high-channel-count test systems.

Comparing Traditional vs. AI-Assisted Test Development

Real-World Plant Floor Realities

Deploying AI-generated code in production environments requires caution. Test systems interact directly with physical hardware, and unvalidated code can cause equipment damage. Engineers must thoroughly review and validate the outputs generated by Nigel AI. The AI serves as an advanced accelerator, not a replacement for domain expertise.

Furthermore, legacy hardware integration remains a challenge. While Nigel AI excels at standard instrument control patterns, highly specialized or obsolete hardware drivers may still require manual intervention.

Conclusion

The integration of Nigel AI into Emerson’s NI software suite represents a major step forward for test engineering. By automating the tedious aspects of G-code wiring and sequence configuration, teams can accelerate their time-to-market. For more information on optimizing your industrial control systems, explore the AutomationView Store for advanced tools and resources.

Frequently Asked Questions

Does Nigel AI replace the need for LabVIEW developers?

No. Nigel AI accelerates development by handling boilerplate code and standard patterns. Complex architectures, hardware debugging, and final validation still require experienced developers.

Can Nigel AI update existing legacy LabVIEW code?

Currently, its primary strength is generating new code structures. Refactoring deep legacy codebases may still require significant manual oversight.