Instrumentation. Data. Software.

Engineering Systems
That Connect
Hardware, Data,
and Software.

Kōd Integrations builds the software between instruments, equipment, databases, and the people who depend on the results. The work starts with understanding the system, then turns that understanding into tools that can be used, trusted, and maintained.

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What We Do

Bring us the problem stuck between your hardware and your software.

Most firms handle one of these. We handle all three, so your data goes from the instrument to the decision without getting lost between vendors.

01 · Collect

Instruments That Work Together

Cameras, motors, meters, sensors, and custom electronics brought under one control application, with an interface operators can actually use.

02 · Organize

Test Data You Can Use

Scattered result files and live measurements turned into a real database, organized so the right numbers are easy to find and trust.

03 · Put to use

Web Applications, Hardware Optional

Full-stack applications and dashboards that put your data in front of the people who need it, connected to your instruments or fully standalone.

Featured Work

Work built where software meets the physical world.

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Healthcare and tele-rehabilitation

Bringing Physical Therapy Home for Veterans

A web platform for therapists and a tablet app for patients, so veterans could do prescribed rehab exercises at home and be reviewed remotely.

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Scattered filesAutomatedimportA database per productReadyfor analysis

Precision electronics

From Scattered Test Files to a Structured Database

Thousands of test files spread across many locations became a structured database for every product, built and filled automatically.

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Optical components

Test Stations That Change Without Changing Code

Plant-wide automated test for fiber optic modulators, from wafer to finished package. Administrators change what each station does by editing a script, not the code.

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Approach

Systems your team can change without calling us.

Our optical test software lets administrators change a station by editing a script. Our storage system lets staff lay out their own containers. New products get their own database automatically. Good work starts with clear requirements, and it ends with you in control.

01

Map the System

Sit with the people doing the work and identify the signals, hardware, protocols, files, databases, and decisions involved.

02

Write the Task Order

Turn vague needs into a clear scope document so requirements, assumptions, deliverables, and acceptance criteria are visible.

03

Build and Hand Off

Prototype the risky pieces, build the application, document it, and leave your team able to configure and maintain it.

About

More than 25 years in the space between machines, data, and decisions.

Kōd Integrations has been building measurement and automation systems since 2002. Our principal engineer has been working in LabVIEW since version 5.1, with training in biological engineering and a minor in mechanical engineering. That mix is why our work moves so easily between the lab bench and the database.

Projects have included wafer probing stations, industrial chiller test stands, a cardiovascular simulator, and specimen tracking systems. Our experience extends to a leading genomics research institute, national cancer research programs, and the innovation team at a global tool manufacturer.

We keep overhead low, so your budget goes to engineering, not account management. You work directly with a senior engineer, and our pricing is straightforward and highly competitive.

Kōd Integrations is a National Instruments Alliance Partner.

What We Work With
NI platform LabVIEW, LabVIEW Real-Time, FPGA, CompactRIO, CompactDAQ, image acquisition and vision
Embedded Arduino, Raspberry Pi, BeagleBone
Web Java (Spring MVC, Spring Boot), Python (Django, Flask), Node.js
Data SQL Server, Oracle, PostgreSQL, MySQL, SQLite
Interfaces GPIB, serial, USB, Ethernet, I2C, Modbus, CAN bus, BLE, RFID, data acquisition
  • Define the problem before estimating the build
  • Make instrumentation, data flow, and diagnostics visible
  • Design schemas and interfaces around how the work is done
  • Use AI as leverage, not as a substitute for engineering judgment