Predictive maintenance, inspection, MES, machine data, planning, CAD, work instructions and CMMS. Each tool is described in our own words, with a link to its official site.
What a featured listing costs · from $199 a month
Augury monitors the health of rotating equipment such as motors, pumps, fans, compressors and gearboxes. The company installs wireless sensors that record vibration, temperature and magnetic data, and its software…
IBM Maximo is a long-established enterprise asset management system, and the Maximo Application Suite bundles it with modules for monitoring, asset health and predictive maintenance. Maintenance work orders, asset records…
Cognex makes vision systems, smart cameras and barcode readers used on production lines across many industries. Its In-Sight cameras and VisionPro software handle classic rule-based inspection, such as measuring a…
LandingLens from Landing AI is a platform for building visual inspection models without a large data science team. Engineers upload images from the line, label defects, train a model and…
Litmus Edge is an industrial data platform installed at the plant. It ships with drivers for common PLCs, CNC controllers and industrial protocols, collects tags from the machines, and turns…
Sight Machine is a manufacturing data platform. It ingests data from machines, historians, MES and quality systems, then models it around the way a line actually runs: assets, cycles, batches…
Tools come from submissions and from our own reading. A tool must be live and available to buy or use today.
We open the official website and confirm the tool does what our listing will say.
Each description is a short account, in our own words, of what the tool does and who it suits.
If we can't confirm a detail, such as on-premises deployment or an API, the listing says "not enough info".
A tool is listed once we have confirmed that its official site is live and that it does what our description says. Each tool sits in the one category that fits its main job, even when it covers several. We don't publish scores, rankings or prices, because industrial software is usually quoted per site and changes often.
Makers can ask for a correction or a free listing at any time. Paid placements are marked Sponsored and never change what we write.
Makers can submit or claim a listing. A person checks every request. Published by Zwings LLC.
Start with a problem you can measure. Unplanned downtime on a bottleneck machine, scrap on one line, late orders or slow changeovers all have a number attached, and that number tells you whether a tool worked. Projects that start from "we should use AI" tend to stall in pilots.
Next, check your data. Most AI tools in manufacturing depend on machine data, quality records, maintenance history or planning data. If machines are not connected, start with the categories that bring their own data: wireless sensors for predictive maintenance, cameras for inspection, or tablets for work instructions. If data exists but sits in many systems, an industrial IoT or data platform may come first.
Count the full cost of ownership. Licenses are only part of it. Sensors, gateways, cameras and tablets need buying and installing, systems need integrating with your ERP and control networks, and someone has to run the tool after the vendor's team leaves. Ask for a three-year estimate that includes hardware, integration, training and support.
Match the tool to your plant. Enterprise suites from Siemens, IBM, Rockwell Automation and AVEVA suit large, multi-site operations with IT and OT teams to run them. Cloud tools such as MaintainX, Katana or Tulip suit smaller plants that want results in weeks. Ask about deployment early: some plants require software to run on premises, and some regulated industries need validated systems and audit trails.
Involve the people who will use it. Operators, technicians and supervisors decide whether data gets entered and alerts get acted on. Test mobile apps on the floor, in gloves and noise, and test dashboards with the shift leads who will read them.
Plan security with your OT team. Many of these tools connect to control networks or install gateways near equipment. Agree on network segmentation, remote access rules and who approves changes before anything is installed.
Run a pilot with a clear end date and success measure, on one line or one asset group. Compare results with a baseline, not with expectations, and decide in advance what result justifies scaling up. Write the result down even if the pilot fails, because it shapes the next project.
Get the vendor's promises in writing. Agree on data ownership and export, support response times and what happens to your data if the contract ends.
Finally, remember what AI is for in a plant. These tools help people spot problems sooner and make better decisions. They do not replace safety systems, certified procedures, lockout and tagout, or the judgment of experienced staff.
No. A basic listing is free. Makers can pay for a featured or premium placement, and those are always marked Sponsored or Premium. Paying never changes our description of a tool.
Industrial software is usually priced per site, per asset or per user, often after a quote, and prices change. Each listing links to the official site so you can ask the vendor directly.
Some help, for example by catching equipment problems early or keeping work instructions current. None of them replace machine guarding, lockout and tagout, safety systems or certified procedures, and they should be introduced under your normal change control.
It means we could not confirm a detail, such as on-premises deployment or an API, from the vendor's own information. Ask the vendor before you rely on it.
Many of the listed tools are built for small and midsize plants, especially cloud CMMS, manufacturing ERP, work instructions and wireless sensors. Start with one measurable problem and a short pilot.
Email contact@factorythink.com with the tool name and what is wrong. We check it and update the directory, usually within a week.