Skip to content
‹ Back to IndustriesIndustrial IoT

IntelliFinishing Leaves Traditional Finishing in the Dust

IntelliFinishing offers innovative paint finishing systems that outpace traditional methods. Their technology employs friction-driven spinning tubes, delivering enhanced efficiency and reduced workspace requirements. IntelliFinishing systems are designed for flexibility, allowing varied speeds and controllable processes to ensure quality and minimize waste.

This story was produced through MarketScale. See how Industrial IoT teams put it to work with AI Visibility (GEO).

Promoted content from IntelliFinishing on MarketScale.

By Industrial Iot · · Promoted Content
Share
IntelliFinishing Leaves Traditional Finishing in the Dust

Key takeaways

01

IntelliFinishing uses friction-driven spinning tubes for efficiency.

02

Flexible systems support multiple part families within a single setup.

03

Modular construction allows easy expandability and reduced maintenance.

Free workspace

Turn your Industrial IoT expertise into content.

Record interviews, organize footage, and write with AI on a free trial of the MarketScale platform for qualifying companies. No demo required, no credit card.

Try it Free

Have you discovered that most traditional paint finishing systems aren’t meeting the unique needs of your company? IntelliFinishing has flexible solutions that are anything but conventional, and we offer features that the traditional systems can’t compete with.

Unchained Technology

Unlike the chain-driven components of power & free and monorail finishing systems, our spinning tube, friction-driven conveyor technology allows parts to move both forward and backward within the system––maximizing efficiency and minimizing floor space. This feature eliminates falling debris from a dirty chain, and thus avoids contamination of parts. The control system allows you to input unique recipes for each part family and reduce chemical waste and energy usage by turning off the modules and conveyor when they are not in use. Not to mention, complete system setup results in up to a 30% smaller footprint.

A Smarter System

Our smart controls provide operational insight that traditional methods do not. We can speed up finishing by allowing multiple part families to be painted on a single system. After the user enters the specific recipe, the system can track individual components. This results in a fast and optimized process, and the system ensures quality by reviewing connected environmental conditions.

Additional Benefits

In addition to easy expandability, IntelliFinishing’s unique modular construction is also flexible. With IntelliFinishing’s ability to offer various speeds in process zones, our carriers can stop a process without affecting the rest of the line plus move at variable speeds at any point in the system. Our product is also virtually silent and clean with no need to lubricate. The eradication of dripping lubrication, greasy take-ups, and chain stretch gives you a clean, quiet, and energy efficient conveyor system with reduced maintenance.

An IntelliFinishing system installs in half the time of traditional monument systems. Our washers, ovens and conveyor sections are built and prepared off-site and delivered in whole pieces, so whether we’re replacing your old system or building a new one, the install will be completed in a minimal amount of time, getting your business up and running as quickly as possible.

The unique conveyor system, smart controls, and flexible design make IntelliFinishing revolutionary and customizable––unlike the traditional finishing systems. To talk with one of the pro finishing team members at IntelliFinishing, click here, and we’ll be happy to help!

Read more at intellifinishing

IntelliFinishing

Part of this channel

IntelliFinishing

The Most Flexible Paint Systems in the Industry

Visit the channel

Your experts belong here

Every story in MarketScale Industrial IoT starts with a company putting its controls engineers, plant-floor specialists, and integration partners on the record. Buyers are already reading this topic. The only question is whose experts they find.

Plant and controls buyers research deep before contact, and your engineers get to shape that research.

Book DemoSee how it works15 minutes, straight to a calendar.

About the author

II
Industrial Iot
B2B Weekly

The week in Industrial IoT, and sixteen other industries, every Monday.

Ten stories, one-line takes, five minutes. Free.

Industrial IoT: are you visible to AI?

Before they reach out, Industrial IoT buyers ask AI engines which vendors to trust. Explore how your experts, customers, and partners can become useful content for buyers and AI search.

Free Trial

You just read one Industrial IoT expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your controls engineers, plant-floor specialists, and integration partners into the articles, video, and social content Industrial IoT buyers are searching for. Start a free trial and see it with your own people. For qualifying companies, no credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What your free trial includes

Hands-on access to the MarketScale platform
Media requests to your crowd, remote recording, AI writing tools
No demo required. No credit card.
For qualifying companies. Company confirmation required.

More Industrial IoT Insights

BMW's 1,700 new ABB robots share one controller in Munich and Tiexi

BMW's 1,700 new ABB robots share one controller in Munich and Tiexi

More than 1,700 ABB robots are going into BMW body shops in Munich and Tiexi, China, to weld, glue, rivet and assemble Neue Klasse car bodies, with every unit on ABB’s OmniCore controller. The order spans three models across two related families that share components and a common footprint, which ABB says supports flexible installation and changeouts. ABB’s "up to 20%" controller claim and "up to 30%" robot-family claim use different baselines and shouldn’t be treated as the same number.

  • 01ABB's up to 20% energy figure compares OmniCore with its predecessor controller. The up to 30% figure for the IRB 7710/7720 family already includes that controller regeneration, so the two shouldn't be added together in a business case.
  • 02For plants that move stations between payload classes, a shared footprint and standardized components across robot sizes belong on the spec sheet next to payload and reach.

Nov 13, 2026

A 328-study review shows robot arm gains coming from control software and vision

A 328-study review shows robot arm gains coming from control software and vision

A systematic review screened 328 studies on industrial robot arms (2010–2025) and finds that measured gains show up most in planning/control software and perception rather than hardware. This fall, Qualcomm, Cognex and Omron agreed to acquisitions spanning motion planning, 3D sensing and edge compute—so robot cell specifications should scrutinize software, vision and how openly the layers integrate.

  • 01Across 2010–2025 robot-arm research, the review finds quantified improvements concentrated in the software stack—trajectory planning, inverse kinematics and calibration—and in perception (2D/3D vision for localization and recognition), rather than in the gearbox or mechanical design.
  • 02Classical model-based control still fits deterministic cells running one part on one path; learning-based control matters most for mixed parts, cluttered bins and frequent changeovers.
  • 03Before trusting a vendor's success rate, ask which objects, how much clutter, how many trials and what counted as success, because most research results are still validated at lab scale.

Nov 13, 2026

Jabil's rule for factory AI: simplify and standardize the process first

Jabil's rule for factory AI: simplify and standardize the process first

Jabil's John Kraus says factory automation fails unless a process is simplified, optimized and standardized first, which makes skilled engineers a key limit on AI adoption. The same consistency problem shows up in plant data. Jabil connects all of its 30-plus US sites with local schools to build that talent.

  • 01A machine can't absorb process variation the way a veteran operator does, so designing consistency into a process is the first real step of any factory AI project.
  • 02With roughly 40% of core advanced-manufacturing skills changing within five years, adaptability and data literacy belong in engineering job specs next to controls and mechanical knowledge.
  • 03About 85% of growing jobs require a credential, and employer-preferred credentials are ones a manufacturer can rewrite itself, which makes certification design a real lever in school partnerships.

Nov 12, 2026

Explore More Industrial IoT Insights

Read more expert perspectives from across Industrial IoT.

Browse Industrial IoT Hub

About the Expert

II
Industrial Iot

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Industrial IoT and beyond.

Book a Demo

Or call us. No forms required. We pick up. 214-945-2512