Compare / Build vs buy
Building it yourself vs KaizenFlow
If you have a good controls engineer, the honest alternative to any monitoring vendor is an ESP32 on the stack light, Node-RED on a shop PC, and a weekend of wiring. Plenty of plants have built exactly that, and some of it works. This page is a fair look at where DIY genuinely wins, what it really costs, and when a platform pays for itself.
The honest incumbent is your own engineer
Before any vendor comparison, the real build-vs-buy question sits inside your own walls. Modern CNC controls already expose most of what monitoring products read: a Fanuc can be polled over FOCAS, newer machines speak MTConnect or OPC-UA, and a stack light or current clamp can be read by a microcontroller that costs less than lunch. Pair that with Node-RED, an MQTT broker, and Grafana, and a capable engineer can have live run/stop charts on a handful of machines in a week or two.
Engineers on plant-floor forums make this case regularly, and they are not wrong. Any honest comparison starts by conceding it: for basic visibility on a small fleet, the DIY route is real, cheap to start, and instructive to build.
Where DIY is strong
The build-it-yourself route earns its following for concrete reasons.
- Parts cost: boards, clamps, and open-source software might total a few hundred dollars per machine - no subscription, no per-machine license.
- Full control: the data model, the polling rate, and every definition sit with your team, with no vendor roadmap in the way.
- No lock-in by construction: everything lives on your network, in formats you chose.
- Skill building: the engineer who wires it learns the plant's data landscape machine by machine - knowledge that outlasts the project.
- Fit for the small case: for run/stop visibility on a handful of machines, a home-built monitor can be exactly enough.
If that list covers everything you need, build it. We mean that - overkill is its own kind of waste, and a platform you do not need is overkill.
The honest limits of building it yourself
The limits below come from plants that went down this road, not from a vendor's imagination. They tend to appear between month three and year two.
- The hidden FTE: practitioners who have run these systems put it bluntly - it is up to you to implement and maintain it, and the time can cost as much as the software it replaced. When the engineer who built it changes jobs, the system usually retires with them.
- Working is not the same as trusted: getting a chart on a screen is the easy 80 percent. Normalizing definitions so OEE means the same thing on line 2 and line 5 - and so finance believes the number - is the hard 20 percent that DIY stacks rarely reach. Plants with over a hundred connected machines still describe their results as dubious.
- The protocol zoo at scale: three machines on one control family is a weekend; forty machines across five decades of Fanuc, Siemens, Haas, and no-name PLCs is a career.
- No dollar ranking, no verification: even a good DIY stack is descriptive. It shows stops; it does not rank competing losses by financial impact, and it has no loop that reconciles a claimed saving against a baseline anyone signs.
- Opportunity cost: every hour your best technical person spends patching flows is an hour not spent on the improvements the data was supposed to enable.
How KaizenFlow is different
KaizenFlow does not compete with your engineer on reading a PLC - your engineer can read a PLC. The platform is the layer after the reading, which is precisely the part DIY stacks never get around to.
- Connectors as a service: 43+ maintained connectors across MES, SCADA, ERP, historians, and PLC protocols - including MQTT, Modbus, OPC-UA, MTConnect, and FANUC FOCAS - kept working by us, not by your one indispensable engineer.
- Losses ranked in dollars: nine AI specialists score every opportunity by financial impact and confidence, so the backlog is ordered by what pays back first rather than by what was easiest to chart.
- A savings ledger finance signs: every claimed gain reconciles against an agreed baseline into a verified ledger - the artifact that wins the CapEx argument a homemade dashboard loses.
- Nothing for your team to babysit: no broker to patch, no flows to migrate, no dashboard graveyard when the builder moves on.
Modeled target ranges from the design-partner program - for example 8-18% lower unplanned downtime - are illustrative planning figures, not achieved results.
Your DIY work can feed it, not fight it
If you already built something, the fork in the road is smaller than it looks. A home-built stack that publishes over MQTT or Modbus, or lands readings in a SQL table, is already speaking protocols KaizenFlow connects to. In that case your DIY layer becomes exactly what it should be: a signal source you control, feeding an intelligence and verification layer you do not have to maintain.
The wiring, the sensor placement, and the plant knowledge your engineer built are not sunk costs. They are the head start.
How to decide
A straight rubric, with no thumb on the scale:
- Build when the fleet is small, the goal is run/stop visibility, an engineer has genuine slack time, and - the condition that usually fails - someone will still own the system in two years.
- Buy when OEE has to mean the same thing across lines, shifts, or sites; when maintaining the plumbing has become its own project; or when finance wants savings proven against a baseline before approving the next dollar.
- Combine when you have working DIY instrumentation worth keeping: keep it as a source, add the ranking and verification layer on top.
If you are weighing sensor-first vendors too, the compare hub covers those honestly as well. To test the buy side against your own numbers, talk to us about a pilot - eight weeks, fixed fee, ending in a verified before and after report.
Disclaimer and trademarks
This comparison reflects KaizenFlow's view of common do-it-yourself monitoring approaches as discussed publicly by practitioners, as of July 2026. Your build, your team, and your results may differ; verify against your own constraints before deciding.
ESP32, Raspberry Pi, Node-RED, Grafana, FANUC, MTConnect, and all other third-party names referenced here are trademarks of their respective owners. References indicate comparison and interoperability only, with no affiliation, sponsorship, or endorsement implied.
Frequently asked
Can't our controls engineer just build this? Reading the machines? Very likely yes - a capable controls engineer can poll a Fanuc over FOCAS, wire an ESP32 to a stack light, and chart it in Node-RED or Grafana. That is not the hard part. The hard part is everything after: keeping the pipeline alive across firmware changes and staff turnover, normalizing OEE definitions so finance trusts them, and proving in dollars that a fix worked. Building the reader is a project; running the loop is a job.
What does DIY machine monitoring really cost? The parts are genuinely cheap - boards, sensors, and open-source software might be a few hundred dollars per machine. The real cost is the ongoing engineering time: building, extending, and maintaining the system is a continuing claim on your best technical person, and plants that have done it usually say the time cost rivals or exceeds any software subscription. Count the builder's hours, not the bill of materials.
Can KaizenFlow read the DIY sensors we already installed? Usually, yes. If your home-built stack publishes over MQTT or Modbus, or lands data in a SQL table or CSV, those are standard KaizenFlow connectors - your DIY layer becomes a signal source rather than a rival system. The work you already did keeps its value.
When is DIY genuinely the right call? When the fleet is small, the goal is run/stop visibility rather than financially verified improvement, and you have an engineer with real slack time who will still own the system in two years. Under those conditions a home-built monitor can be exactly enough, and buying a platform would be overkill. Be honest about all three conditions, though - the third is the one that usually fails.
Test the buy side on your own data
Keep your wiring. Skip the 2 a.m. pager.
An eight-week pilot connects to the systems - and the DIY sources - you already have, ranks your losses by dollar impact, and ends in a verified before and after savings report.