Connect with us

News

Tesla Model 3 data is being sold to overseas competitors, suggests WSJ report

Published

on

Auto benchmarking company Caresoft Global is reportedly selling Tesla Model 3 data from second-hand vehicles it has acquired to Tesla’s competitors, including companies from overseas. 

Caresoft Global had a booth dedicated to its suite of services at the recently-held 2018 North American International Auto Show. The auto benchmarking company’s booth, which featured a Model 3 skeleton, became a point of interest for many attendees of the event, several of whom appeared to be employees of Tesla’s rivals. 

In a statement to the Wall Street Journal, Caresoft Global business manager Prideep Subramaniam stated that the company has attracted a lot of interest lately. The Caresoft executive even noted that just recently, members of a Chinese auto firm flew over just to test drive the vehicle and acquire data on the Model 3.

“There are people who flew down from China just to have a test drive with us,” Subramaniam said, according to a WSJ report.

Caresoft has been able to acquire several Model 3 by purchasing second-hand vehicles from early buyers of the electric car. According to the company, it has paid Tesla owners up to $100,000 to acquire a Model 3 in the used car market.

While Tesla seems to be showing signs that the mass production of the Model 3 is well underway, the vehicle is still pretty rare, with only a few thousand of the electric cars being delivered to reservation holders to date. This, of course, makes it incredibly difficult for Tesla’s competitors to acquire units that they can analyze.

Advertisement
-

This is where Caresoft Global’s services come in. Caresoft offers a suite of services for parties interested in the Model 3. As noted in the company’s official website, the firm provides a service it dubs as Competitive Assessment, which, as the company states, takes the field of “automotive benchmarking to a whole new level.” Caresoft utilizes high-energy scan technologies integrated with a variety of methods to extract entire vehicle parametric CAD data. The auto-analysis firm also provides information on the material linearity of the Model 3, as well as schematics of the electric car’s motor and wiring structure.

As noted in the WSJ report, however, Caresoft Global’s services come at a very substantial price. The company, if any, knows the value of its Model 3 data, and it is currently offering them to Tesla’s competitors at prices that reach north of $500,000. While this amount seems exorbitant, it is pertinent to note that carmakers traditionally allow a significant amount of their budget in competitive analysis and study. Thus, the half-million price tag of Caresoft’s Model 3 data might actually be, at least for Tesla’s competitors, a small price to pay.

Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

Advertisement
Comments

News

Tesla expands driverless Robotaxi geofence in Austin

Published

on

Credit: @JoeTegtmeyer/X

Tesla has expanded the operational geofence for its driverless Robotaxi service in Austin, Texas, marking the first such increase in some time. The updated Service Area for Robotaxi in Austin now spans about 288 square miles and is roughly 9 percent larger than the previous boundary.

This incremental growth adds approximately 24 square miles of coverage, bringing the prior zone of roughly 264 square miles into a broader footprint that better serves northern suburbs.

The expansion extends the geofence northward toward Pflugerville along the US 183 corridor, incorporating additional neighborhoods north of the Domain and areas such as Mesa Park. These additions include higher-end residential and commercial districts that previously sat just outside the allowed operating zone.

Riders can now request unsupervised trips that begin or end in these newly included locations, provided the entire route remains inside the digital boundary:

Tesla first launched public Robotaxi operations in Austin in mid-2025 with a modest initial zone of about 20 square miles. Subsequent enlargements in 2025 and early 2026 steadily grew the map until it covered much of the metropolitan area.

After the last major update roughly ten months earlier, the company held the boundary steady while it collected additional miles and refined the FSD suite.

The modest nine percent increase still matters for daily utility. Longer trips become possible, more residents gain access, and the fleet can accumulate more diverse real-world data across new road types and traffic patterns. Observers note that the added territory aligns with existing Tesla service infrastructure, which could support more efficient vehicle staging in the North end of Austin.

Although the geofence has grown, Tesla continues to operate a relatively small unsupervised fleet in the city. The company has emphasized safety and software readiness over rapid geographic scaling. This latest map update signals that Tesla remains committed to expanding Robotaxi availability in its home market as it prepares for further software improvements and potential Cybercab deployments.

The 288-square-mile zone now gives Austin riders one of the larger driverless service areas currently available in the United States.

Advertisement
-
Continue Reading

Elon Musk

Elon Musk’s Grok can basically control anything in your Tesla now

Published

on

Credit: Tesla

Tesla’s 2026 Summer Update turns Grok from a talking companion into a true in-car controller, with considerably expanded capabilities. Where the assistant once answered questions and handled navigation, it can now operate hardware and software through ordinary speech, including several requests at the same time.

Grok has become incredibly robust over the past few quarters, and this new ability that Tesla has included with its Summer Update is perhaps the clearest sign of just how capable it has become.

You can issue many commands to Grok at once, and each will be taken care of: anything from headlight control to climate adjustments to mirror folding can now all be taken care of with a simple sentence spoken toward Grok:

Here’s another example I used in my Model Y:

Tesla’s official Release Notes list the core powers of Grok’s new capabilities: Grok can place phone calls from a paired phone, search a streaming service and queue music, adjust climate, and search the Controls panel. Drivers can also ask it questions about the vehicle or the latest features included in a recent software update.

It can also take care of driving settings, dynamics, and other relevant preferences that deal with how the car operates and handles.

Advertisement
-

Tesla Summer Update begins rolling out: a look at the new features

It’s also more of a use case than a novelty feature. Grok was great for learning about something that was being pondered while Full Self-Driving was taking care of the major automotive responsibilities, but it did have some useful functionality when it came to navigation.

Another less-noted improvement is the swift transition that Grok has from thinking of its answer to giving you one. In the past, it would take a few seconds for Grok to truly come up with a valuable response. It now seems that it is improving, at least slightly.

Continue Reading

Elon Musk

Tesla is fixing Full Self-Driving’s pothole problem

Published

on

Tesla Model Y L in a field
Credit: Tesla

Tesla Full Self-Driving is set to get a major fix with pothole avoidance, a feature that CEO Elon Musk said recently was “coming soon.” The feature has been included within the FSD v14 release notes for some time as an upcoming improvement.

Potholes come in all shapes and sizes, but one thing is universal about them, and that is the fact that every driver wants to avoid them. Driving into or over a pothole can cause tire and wheel damage, alignment issues, and even, in some more severe instances, injury to occupants or major damage to a vehicle in despair.

Tesla Cybercab uses a unique strategy for picking up the right rider

Musk said late last night in a post that pothole avoidance while utilizing the Full Self-Driving suite is “coming soon.”

Advertisement
-

Full Self-Driving, even in its most recent and robust forms, still has its shortcomings. While the suite has performed exceptionally well with avoiding on-road obstacles like cardboard boxes, horse droppings, car parts, and other debris, it still seems to struggle with recognizing certain things.

Potholes and other abrupt changes in a road’s layout are things that FSD still tends to struggle with. Perhaps the suite’s 3D modeling is still in need of some additional data or some sort of script that will help it to avoid a potentially destructive pothole or bump in the road that would be easily recognizable by the human eye.

Musk has mentioned pothole avoidance for some time, with the initial idea coming in April 2019 when an owner first requested the feature. Musk said that Tesla would “definitely” develop pothole avoidance.

In August 2020, Musk said Tesla was in the process of labeling bumps and potholes so cars can either slow down or steer around them altogether.

Tesla to utilize micro maps for pothole-detection in future update

Avoiding major disturbances in the road is a necessary feature for Full Self-Driving to have, especially as Tesla is working toward a fully autonomous program that will eventually allow every occupant in the vehicle to sleep, work, or enjoy leisure time while traveling.

Advertisement
-

That truly begins this week with the launch of Cybercab on Thursday.

Continue Reading