John Deere, QA at your scale doesn't have to leave a trail of defects
You recently had 1 major call back (ZTracks), in January, 1 FTC lawsuit, and another major call back (1032E, 1025R, 2025R) in 2024, September.
Matroid provides end-to-end oversight with AI-based QA detection to scale your current defect detection process across all your cameras, employee processes, and we will build a free detector on one of your toughest defects.
FAIL
Bolt Torsion
We’ve automated QA checks for enterprises at your production scale
Whats inside the 30-minute demo?
Got a defect that’s hard to catch by your lineworkers, or hard to program with machine vision? This call will highlight your biggest QA detection issue. We’ll send the image/video of Matroid’s AI detecting your defect back within 48hrs.
STEP 1
Send us an image / video of your most difficult defects
Send us any defects that you’re having trouble catching, especially if it's hard to program with Machine Vision cameras, or see with human eyes.
STEP 2
We’ll deploy Matroid onto your image/video
Provide us instances where defects cause problems, and Matroid can detect the moment it happens. (Eg. A fire)
STEP 3
Still don’t believe us? We’ll come to your plant.
If you still don’t believe we can detect your most difficult defects within hours, we’ll come to your plant to demonstrate Matroid in real life.
Two major call-backs due to manual spot checks?
Two major call backs in the last 12 months, mostly due to human-based processes relying on manual spot checks. It’s not their fault, it was just a matter of time until an error occurred after 500+ checks.
39,000 ZTrack ZTR recalls in Jan, 2025
The affected models—Z720E, Z730M, Z740R, and Z760R—were found to have a defective voltage regulator that could fail during use or storage, leading to engine overheating and posing fire and burn hazards.
However, we understand that this issue primarily stemmed from Kawasaki, not John Deere.
147,000 recalls on various models in Sept, 2024
The affected models—1023E, 1025R, and 2025R— were recalled due to brake linkage components being looser than usual, thus, disconnecting during operation.
It seems that manual inspections relied heavily on visual spot-checks, which couldn't consistently identify subtle torque discrepancies or slight alignment shifts in the linkage assembly.
How Matroid could’ve solved this
Matroid’s AI scales across all locations, scenarios, and cameras—without needing batched data or existing setups. It learns from known defects to provide real-time, scalable checks for both known and potential unknown defects.
Detects defects across your entire production line
Matroid learns your ideal scenarios, from screwing in bolts to plane-sized shell connection --> these scenarios are able to be scaled across every camera.
How it works
Matroid’s artificial intelligence goes beyond just scanning defects
Install Matroid’s AI once, it connects with all your existing Machine Vision cameras, now it has intelligent detection beyond it’s static prompting.
STEP 1
Install Matroid’s software once
All your existing cameras connect with Matroid at once, whether they’re normal cameras, or machine vision, within minutes. Alternatively, we provide machine vision cameras for all scenarios.
STEP 2
If you can circle it, you can program Matroid
Easily circle all defects present, or, plug your existing machine vision data into Matroid.
STEP 3
Matroid models perfect scenarios on components
What this means: It doesn’t *just* detect defects, it detects the process itself, how far your bolts are screwed in, if something wasn’t drilled enough. If it finds a mistake in the process --> it is flagged as a defect.
STEP 4
Achieve complete oversight on defects
Leadership has a single dashboard to oversee all defects, down to what’s common, risk level, priority. Making it easy for QA engineers to quickly create processes around active, re-occurring defects across the entire production line.
Your QA engineer's best friend.
Engineers can finally focus on optimizing their process.
Instead of your QA team spending 6-8hrs per day watching paint dry, they can finally let Matroid detect all forms of issues in real-time --> get it sent to leadership to quickly devise a plan to fix it across all facilities.
Batch inspections vs. 100% product line inspections
Traditional batch inspections check only a fraction of products, risking defects slipping through. Matroid’s AI inspects every single item in real-time, ensuring 100% defect detection at scale.
Every defect, notified in minutes, not months
Matroid’s AI alerts your team instantly, so you can stop defects upstream before they impact production downstream. Easily build processes around constant defects.
Schedule a demo
We won’t bore you with a pitch deck---we’ll actively use Matroid to detect issues your current process can’t find within 48 hours.
Anyone who sees our ad / landing page is free to schedule. Only employees from John Deere are seeing this.