AI ERP with agents inside the systems you run
AI phone and voice agents for real calls
LLM.coPrivate, self-hosted LLM deployments
Legal AI infrastructure for firms
AI RFP discovery and response drafting
Automatic.coBusiness process automation
CyberAttack.aiThreat detection and defense
Secure AI virtual data rooms
10 business days
To start a LabVIEW engagement
Scoping through first sprint
100%
Senior engineers, US-based
No offshore handoff mid-project
Every sprint
A build running against real hardware
Not a status deck between milestones
100%
VIs and project files you own
From the first commit
Where LabVIEW fits
Where LabVIEW is genuinely the right tool
LabVIEW earns its place in systems that talk to physical hardware and need to visualize what that hardware is doing while it's doing it — a job its graphical, dataflow-native design is built for in a way a general-purpose language isn't.
Test and measurement systems
Automated test benches that run a sequence of measurements against a device under test, log the results, and flag failures — the core use case LabVIEW was built around, and still the one it handles best.
Data acquisition (DAQ)
Reading sensor and instrument data at high sample rates through NI DAQ hardware, with the timing and buffering work that keeps acquisition accurate when a data stream can't afford to drop a sample.
Instrument control and automation
Driving lab instruments — oscilloscopes, signal generators, power supplies — through GPIB, VISA, or serial interfaces, sequencing a multi-instrument test that would be error-prone to run by hand.
Hardware-in-the-loop (HIL) testing
Testing an embedded controller against a real-time simulation of the physical system it will actually control, often on NI's real-time and FPGA hardware, before that controller ever touches the real thing.
Production and manufacturing test stations
The test station at the end of a production line that validates every unit before it ships, built to run unattended, log every result, and flag a failure pattern before it becomes a recall.
Monitoring and control systems
Continuous monitoring of a process or piece of equipment with real-time visualization and alerting, in settings adjacent to full SCADA but scoped smaller and specific to one system rather than a plant-wide deployment.
What's involved
LabVIEW engagement types
What moves the scope of a LabVIEW project is less the feature list and more how much of the work is new instrument integration versus reading and safely extending a VI hierarchy someone else built.
| Engagement | Commitment | Timeline | What's included |
|---|---|---|---|
| LabVIEW codebase audit | Fixed scope | 1 – 3 weeks | A read of an existing VI hierarchy's architecture, version compatibility, and hardware dependencies, with a prioritized list of what has to change before new work starts. |
| New test or DAQ system | Fixed scope | 6 – 14 weeks | A new test bench or data-acquisition system built against your actual instruments and hardware, from architecture through a validated first build. |
| Legacy VI migration and modernization | Fixed scope | 4 – 12 weeks | Bringing an older LabVIEW codebase forward to a current version, restructuring an undocumented VI hierarchy, and replacing deprecated hardware drivers. |
| Instrument driver integration | Fixed scope | 2 – 8 weeks | Adding a new instrument, DAQ board, or PXI module to an existing system, including the driver work and sequencing changes that go with it. |
| Ongoing test system support | Ongoing retainer | Ongoing | Standing ownership of a live test or DAQ system through hardware changes, LabVIEW version upgrades, and new test requirements. |
Ranges assume US-based senior engineers and include validation against real hardware rather than quoting it separately. The audit exists as its own first step because the honest scope of an existing VI hierarchy is rarely clear until someone has actually opened it.
Reading someone else's VIs
What it actually takes to read someone else's VI hierarchy
LabVIEW's visual programming model is intuitive for building something new and can be genuinely difficult to read cold, particularly when the person who built it didn't document intent. This is the part of LabVIEW work most text-based developers never learn to do.
Architecture patterns aren't optional to recognize
Producer/consumer loops, queued message handlers, and state machines are the standard architectural patterns in serious LabVIEW applications, and recognizing which pattern a given VI hierarchy uses is the fastest way into an unfamiliar codebase — guessing at the structure from the block diagram alone wastes days.
Sub-VI reuse can help or create hierarchy sprawl
A well-organized library of reusable sub-VIs makes a codebase easy to extend; an undisciplined one produces dozens of near-duplicate sub-VIs with unclear ownership. Untangling which sub-VIs are actually load-bearing versus abandoned experiments is often the first real task on a takeover.
The front panel isn't documentation
A clean, well-labeled front panel says nothing about what the block diagram underneath is actually doing, and LabVIEW code with no comments is exactly as opaque as any other undocumented codebase — arguably more so, since there's no plain-text diff to scan for context.
Version compatibility runs one direction
A VI saved in a newer version of LabVIEW generally can't be opened in an older version without an explicit save-for-previous-version step, which means a mismatched LabVIEW version between developers is a common, avoidable source of "it won't even open" on a handoff.
Source control needs LabVIEW-aware tooling
VI files are binary, not plain text, so a standard Git diff shows nothing useful about what changed inside one. NI's own LabVIEW-aware source control integration, or a merge tool built for VI files, is what actually makes collaborative development and code review possible.
"VI hell" is a real, avoidable failure mode
The undisciplined version of LabVIEW development — untyped globals, deeply nested case structures, no consistent error-handling pattern — produces exactly the kind of codebase the legacy content's own admission ("most programmers won't touch LabVIEW") is actually describing. It's a discipline problem, not an inherent property of the language.
Hardware integration
The hardware and instrument integration work LabVIEW is built around
A LabVIEW application is rarely just software — it's the layer between test logic and a physical instrument or acquisition device, and that integration is where most of the real engineering happens.
GPIB and VISA instrument control
Driving bench instruments — oscilloscopes, signal generators, multimeters — through the GPIB and VISA standards that most lab equipment still speaks, sequencing multi-instrument tests that would be slow and error-prone run manually.
PXI and CompactRIO for real-time and FPGA work
NI's PXI and CompactRIO platforms handle deterministic, real-time control and FPGA-level timing that standard Windows-based LabVIEW can't guarantee — the right tool when a control loop genuinely needs microsecond-level determinism.
DAQmx boards and sensor integration
Configuring NI DAQ hardware for the sample rates, triggering, and synchronization a given sensor setup actually needs, which is usually more about correct timing configuration than about the acquisition code itself.
Serial, Modbus, and TCP instrument protocols
Not every instrument speaks GPIB — plenty of industrial and lab hardware communicates over serial, Modbus, or a vendor-specific TCP protocol, each with its own quirks around timing and error handling that a generic driver won't account for.
Calibration and measurement uncertainty
A measurement system is only as trustworthy as its calibration record, and tracking calibration dates, uncertainty budgets, and traceability is part of building a test system that will actually pass an audit, not just an afterthought bolted on after the fact.
When migrating off LabVIEW is the honest call
For a system with no ongoing hardware-timing requirement — a data-logging dashboard, for instance — a modern text-based stack can sometimes be cheaper to hire for and maintain long-term than a LabVIEW system. We'll say so during scoping rather than defaulting to LabVIEW because it's what the last system used.
Industries
Industries that actually run on LabVIEW
LabVIEW clusters heavily in industries where hardware and physical testing are the product, not an afterthought to a software feature.
Medical devices
Test and validation systems for devices that answer to FDA design-control requirements, where every test run and result has to be logged with the traceability a regulatory submission will need.
Aerospace and defense
Test systems for avionics, sensors, and control hardware, frequently built on real-time and FPGA platforms where a control loop's timing behavior is itself a requirement, not just a nice-to-have.
Automotive test and validation labs
Bench and HIL testing of electronic control units and sensor systems ahead of a vehicle integration, where catching a fault in simulation is far cheaper than catching it on a test track.
Energy and power systems
Monitoring and control systems for power generation and grid-adjacent equipment, where LabVIEW's real-time visualization is genuinely useful for an operator watching a system's state change live.
Manufacturing and production test
End-of-line test stations validating every unit that comes off a production line, built to run unattended for a full shift and log results with the traceability a quality process actually requires.
Related
Related services
What LabVIEW projects usually connect to.
Questions
Common questions about LabVIEW development
What teams ask before a first call.
What drives the cost is less the feature list than how much of the work is new instrument integration versus reading and safely extending an existing VI hierarchy — and existing LabVIEW codebases vary enormously in how well-documented and well-architected they are.
An audit against your actual VIs and hardware is the fastest way to a real figure, since a LabVIEW quote based on a description alone tends to miss whatever undocumented complexity is already in the codebase.
Builds and maintains VI hierarchies — LabVIEW's graphical, dataflow-based programs — for test sequencing, data acquisition, and instrument control, along with the hardware driver and timing work that makes those VIs actually talk to physical equipment correctly.
On an existing system, a LabVIEW developer is also reading someone else's block diagrams and state-machine architecture, which is a genuinely different skill from writing new VIs from scratch.
Yes — this is a large share of the LabVIEW work we're brought in for. We start with an audit of the VI hierarchy's architecture, version compatibility, and hardware dependencies rather than quoting a fix before we've actually opened the project, since the real scope of an undocumented LabVIEW system usually isn't visible from the outside.
Confirming which LabVIEW version and hardware drivers a project actually needs is typically the first concrete step, before any restructuring begins.
Yes. Integrating with NI's hardware platforms — PXI for modular instrumentation, CompactRIO for real-time and FPGA control, DAQmx boards for data acquisition — is core to most LabVIEW engagements, and it's usually where the majority of the real engineering time goes, not in the application logic layered on top.
It depends on whether the system actually needs LabVIEW's deterministic timing and hardware integration. For a system with a genuine real-time or FPGA requirement, LabVIEW or a comparable real-time platform is usually still the right tool. For something like a data-logging dashboard with no hard timing requirement, a modern text-based stack can sometimes be cheaper to hire for and maintain over the long run.
We'll give you a candid read on which situation you're actually in during scoping, rather than defaulting to whichever platform the existing system already uses.
Yes, on NI's PXI and CompactRIO real-time and FPGA platforms, for control loops and acquisition systems that need deterministic, microsecond-level timing that standard Windows-based LabVIEW execution can't guarantee. This work requires a different skill set than application-level LabVIEW development, and we scope it as such.
Yes. The LabVIEW project, its VIs, and any hardware driver or configuration files are registered and stored under your own organization from day one, with source control set up so you can hand the project to another developer or team without our involvement.
LabVIEW's graphical, dataflow programming model is genuinely different from every text-based language a typical software developer learns, and reading someone else's VI hierarchy takes a different skill than reading a text-based codebase — recognizing architectural patterns like producer/consumer loops and state machines from a block diagram rather than from readable source code.
That's a real barrier to entry, and it's exactly why a system that depends on LabVIEW benefits from working with engineers who do this regularly rather than a generalist team encountering it for the first time on your project.