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Tesla Autopilot veterans launch company to accelerate self-driving development
After working on Tesla’s Autopilot team for 2.5 years, Andrew Kouri and Erik Reed decided to start their own self-driving, AI-based company rightfully named lvl5. Together with iRobot engineer George Tal, lvl5 aims to develop advanced vision software and HD maps for self-driving cars.
Founded in 2016, lvl5 was incubated at renown Silicon Valley incubator Y Combinator and later raised $2 million in seed funding from investor Paul Buchheit, who’s a partner at Y Combinator and creator of Gmail, and Max Altman’s 9Point Ventures.

In just 3 months, lvl5 racked up almost 500,000 miles of US roadway coverage with Payver. (Photo: lvl5)
“Working with lvl5’s founders while they were at Y Combinator, it was clear they have unmatched expertise in computer vision, which is the secret sauce of their solution,” said Buchheit. “I have no doubt this is the team to make self-driving a reality in the near term.”
At the center of lvl5’s technology is their computer vision algorithms. Founder and CTO George Tall previously specialized in computer vision technology at iRobot. In addition to Tall’s experience at iRobot, Kouri and Reed’s experience at Tesla undoubtedly left them with unparalleled expertise in computer vision.
Instead of turning to expensive LiDAR technology, lvl5’s computer vision analyzes its environment for stoplights, signs, potholes, and other objects. The system can be accurate to 10cm, a notable measure considering it’s derived from simple cameras and smartphones. In comparison, LiDAR systems can cost over $80,000 but are accurate to 3cm.
- Each purple trace through the intersection contributes to building the 3D map from a 2D image. For each frame, lvl5’s computer vision technology computes the position of the vehicle relative to other objects in the intersection and create a point cloud that resembles the output from LiDAR. Each white sideways “pyramid” represents the location of a captured frame in the video trace. (Photo: lvl5)
- This image is taken from one of lvl5’s neural nets, which is designed to draw a box around the position of traffic lights in an image. (Photo: lvl5)
- With only two trips through this intersection, lvl5 can start to extract semantic features such as a stop sign. (Photo: lvl5)
- The three founders of lvl5 in front of their SF home. Left to right: Erik Reed, Andrew Kouri, George Tall (Photo: Lvl5)
So how will lvl5 map roadways in the world using their computer vision technology? Smartphones. Well, for now at least. The company has released an app called Payver that allows anyone’s smartphone to collect data while driving and get paid between $.01-$.05 per mile, depending on a number of factors. Users of the app place their phone in a mount on their dashboard and let the app gather driving data.
The data is sent to lvl5’s central hub and processed by their computer vision technology. “Lvl5 is solving one of the biggest obstacles to widespread availability of self-driving technology,” said Max Altman, one of lvl5’s seed round investors and partner at 9Point Ventures. “Without accurate and efficient HD mapping, as well as the computer vision software that enables it, self-driving vehicles will take much longer to reach mass-market. This will delay everything from safer roads to efficient delivery services.”
GIF: lvl5
“We have to make self-driving available worldwide – not just in California,” Co-Founder and CEO Andrew Kouri said in a company statement. “Our approach, which combines computer vision software, crowdsourcing and widely available, affordable hardware, means our technology is accessible and will make self-driving a reality today, rather than five years from now.”
The company has already established pilot programs with major automakers and both Uber and Lyft. Companies will pay lvl5 an initial fee to use the maps, along with a monthly subscription to keep the maps continuously updated. “Through its OEM-agnostic approach, lvl5 will be able to collect significant amounts of mapping data from millions of cars in order to scale the technology for the benefit of drivers and pedestrians around the world,” the company’s press release states.
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Lucid unveils Lunar Robotaxi in bid to challenge Tesla’s Cybercab in the autonomous ride hailing race
Lucid’s Lunar robotaxi is gunning for Tesla’s Cybercab in the autonomous ride hailing race
Lucid Group pulled back the curtain on its purpose-built autonomous robotaxi platform dubbed the Lunar Concept. Announced at its New York investor day event, Lunar is arguably the company’s most ambitious concept yet, and a direct line of sight toward the autonomous ride haling market that Tesla looks to control.

At Lucid Investor Day 2026, the company introduced Lunar, a purpose-built robotaxi concept based on the Midsize platform.
A comparison to Tesla’s Cybercab is unavoidable. The concept of a Tesla robotaxi was first introduced by Elon Musk back in April 2019 during an event dubbed “Autonomy Day,” where he envisioned a network of self-driving Tesla vehicles transporting passengers while not in use by their owners. That vision took another major step in October 2024 when, Musk unveiled the Cybercab at the Tesla “We, Robot” event held at Warner Bros. Studios in Burbank, California, where 20 concept Cybercabs autonomously drove around the studio lot giving rides to attendees.
Fast forward to today, and Tesla’s ambitions are finally materializing, but not without friction. As we recently reported, the Cybercab is being spotted with increasing frequency on public roads and across the grounds of Gigafactory Texas, suggesting that the company’s road testing and validation program is ramping meaningfully ahead of mass production. Tesla already operates a small scale robotaxi service in Austin using supervised Model Ys, but the Cybercab is designed from the ground up for high-volume, low-cost production, with Musk stating an eventual goal of producing one vehicle every 10 seconds.

At Lucid Investor Day 2026, the company introduced Lunar, a purpose-built robotaxi concept based on the Midsize platform.
Into this landscape steps Lucid’s Lunar. Built on the company’s all-new Midsize EV platform, which will also underpin consumer SUVs starting below $50,000. The Lunar mirrors the Cybercab’s core philosophy of having two seats, no driver controls, and a focus on fleet economics. The platform introduces Lucid’s redesigned Atlas electric drive unit, engineered to be smaller, lighter, and cheaper to manufacture at scale.
Unlike Tesla’s strategy of building its own ride hailing network from scratch, Lucid is partnering with Uber. The companies are said to be in advanced discussions to deploy Midsize platform vehicles at large scale, with Uber CEO Dara Khosrowshahi publicly backing Lucid’s engineering credentials and autonomous-ready architecture.
In the investor day event, Lucid also outlined a recurring software revenue model, with an in-vehicle AI assistant and monthly autonomous driving subscriptions priced between $69 and $199. This can be seen as a nod to the software revenue stream that Tesla has long championed with its Full Self-Driving subscription.
Tesla’s Cybercab is targeting a price point below $30k and with operating costs as low as 20 cents per mile. But with regulatory hurdles still ahead, the window for competition is open. Lucid’s Lunar may not have a launch date yet, but it arrives at a pivotal moment, and when the robotaxi race is no longer viewed as hypothetical. Rather, every serious EV player needs to come to bat on the same plate that Tesla has had countless practice swings on over the last seven years.
Elon Musk
Brazil Supreme Court orders Elon Musk and X investigation closed
The decision was issued by Supreme Court Justice Alexandre de Moraes following a recommendation from Brazil’s Prosecutor-General Paulo Gonet.
Brazil’s Supreme Federal Court has ordered the closure of an investigation involving Elon Musk and social media platform X. The inquiry had been pending for about two years and examined whether the platform was used to coordinate attacks against members of the judiciary.
The decision was issued by Supreme Court Justice Alexandre de Moraes following a recommendation from Brazil’s Prosecutor-General Paulo Gonet.
According to a report from Agencia Brasil, the investigation conducted by the Federal Police did not find evidence that X deliberately attempted to attack the judiciary or circumvent court orders.
Prosecutor-General Paulo Gonet concluded that the irregularities identified during the probe did not indicate fraudulent intent.
Justice Moraes accepted the prosecutor’s recommendation and ruled that the investigation should be closed. Under the ruling, the case will remain closed unless new evidence emerges.
The inquiry stemmed from concerns that content on X may have enabled online attacks against Supreme Court justices or violated rulings requiring the suspension of certain accounts under investigation.
Justice Moraes had previously taken several enforcement actions related to the platform during the broader dispute involving social media regulation in Brazil.
These included ordering a nationwide block of the platform, freezing Starlink accounts, and imposing fines on X totaling about $5.2 million. Authorities also froze financial assets linked to X and SpaceX through Starlink to collect unpaid penalties and seized roughly $3.3 million from the companies’ accounts.
Moraes also imposed daily fines of up to R$5 million, about $920,000, for alleged evasion of the X ban and established penalties of R$50,000 per day for VPN users who attempted to bypass the restriction.
Brazil remains an important market for X, with roughly 17 million users, making it one of the platform’s larger user bases globally.
The country is also a major market for Starlink, SpaceX’s satellite internet service, which has surpassed one million subscribers in Brazil.
Elon Musk
FCC chair criticizes Amazon over opposition to SpaceX satellite plan
Carr made the remarks in a post on social media platform X.
U.S. Federal Communications Commission (FCC) Chairman Brendan Carr criticized Amazon after the company opposed SpaceX’s proposal to launch a large satellite constellation that could function as an orbital data center network.
Carr made the remarks in a post on social media platform X.
Amazon recently urged the FCC to reject SpaceX’s application to deploy a constellation of up to 1 million low Earth orbit satellites that could serve as artificial intelligence data centers in space.
The company described the proposal as a “lofty ambition rather than a real plan,” arguing that SpaceX had not provided sufficient details about how the system would operate.
Carr responded by pointing to Amazon’s own satellite deployment progress.
“Amazon should focus on the fact that it will fall roughly 1,000 satellites short of meeting its upcoming deployment milestone, rather than spending their time and resources filing petitions against companies that are putting thousands of satellites in orbit,” Carr wrote on X.
Amazon has declined to comment on the statement.
Amazon has been working to deploy its Project Kuiper satellite network, which is intended to compete with SpaceX’s Starlink service. The company has invested more than $10 billion in the program and has launched more than 200 satellites since April of last year.
Amazon has also asked the FCC for a 24-month extension, until July 2028, to meet a requirement to deploy roughly 1,600 satellites by July 2026, as noted in a CNBC report.
SpaceX’s Starlink network currently has nearly 10,000 satellites in orbit and serves roughly 10 million customers. The FCC has also authorized SpaceX to deploy 7,500 additional satellites as the company continues expanding its global satellite internet network.


