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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.
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- 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)
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- 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)
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- With only two trips through this intersection, lvl5 can start to extract semantic features such as a stop sign. (Photo: lvl5)
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- 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.
Elon Musk
Elon Musk highlights one of Tesla FSD Supervised’s most underrated features
In his post on X, Musk wrote, “Tesla self-driving now recognizes hand signals.”
Tesla’s Full Self-Driving (Supervised) is able to recognize and respond to hand signals, as highlighted recently by CEO Elon Musk.
In his post on X, Musk wrote, “Tesla self-driving now recognizes hand signals.”
Musk shared the update in a quote reply to a video posted by Tesla Europe, which showed a vehicle operating with Full Self-Driving (Supervised) navigating a tight lane in the Netherlands while responding to hand gestures from a person directing traffic.
Hand signal recognition is an important capability for advanced driver-assistance and autonomous systems. In real-world driving, pedestrians, construction workers, parking attendants, and other drivers frequently use hand gestures to direct traffic, yield right of way, or indicate when it is safe to proceed. For a self-driving system operating in mixed environments, interpreting these non-verbal cues is critical.
Musk’s post comes as Tesla owners have surpassed 8 billion cumulative miles driven with FSD (Supervised) engaged. “Tesla owners have now driven >8 billion miles on FSD Supervised,” the company wrote in a post on X.
Annual FSD (Supervised) miles have increased sharply over the past five years. Roughly 6 million miles were logged in 2021, followed by 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and 4.25 billion in 2025.
In the first 50 days of 2026 alone, Tesla owners logged another 1 billion miles. At the current pace, the fleet is trending toward approximately 10 billion FSD (Supervised) miles this year.
Tesla’s latest North America safety data, covering all road types over a 12-month period, also indicates that vehicles operating with FSD (Supervised) were recorded one major collision every 5,300,676 miles. By comparison, the U.S. average during the same period was one major collision every 660,164 miles.
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Tesla hiring for Commercial Charging role hints at Semi push in Europe
The job opening was highlighted by David Forer, Senior Project Developer for Charging at Tesla, on LinkedIn.
Tesla appears to be expanding its Commercial Charging efforts in Central Europe. The job opening was highlighted by David Forer, Senior Project Developer for Charging at Tesla, on LinkedIn.
In a post on LinkedIn, Forer stated that Tesla is looking for a “high-energy executer to own Commercial Charging Sales in Central Europe.” He added that the role will involve closing commercial deals across Tesla’s “entire product range (Supercharging & Megacharging).”
The job listing specifies that the hire will lead the sale of Tesla’s high-power charging products, including Supercharger and Heavy Duty Charging, to major partners such as charge point operators, real estate owners, and retail companies. The role requires fluency in German and English and is based onsite in Munich.
Tesla already operates more than 75,000 Superchargers globally, though the Semi’s Megacharger network is still in its early stages. The inclusion of Heavy Duty Charging in the job description is notable, then, as it aligns with Tesla’s Megacharger infrastructure, which is designed to support the Tesla Semi.
Tesla CEO Elon Musk recently confirmed that the Tesla Semi is moving into high-volume production this 2026. In a post on X, Musk noted that “Tesla Semi starts high volume production this year.”
Aerial footage of the Tesla Semi Factory near Giga Nevada also shows that the facility looks nearly complete, with work now underway inside the facility.
Tesla has also refreshed the Semi lineup on its official website, listing two variants: Standard and Long Range. The Standard trim offers up to 325 miles of range with an energy consumption rating of 1.7 kWh per mile, while the Long Range version provides up to 500 miles.
Both variants support fast charging and can recover up to 60% of range in 30 minutes using compatible infrastructure such as the Megacharger Network.
The presence of Heavy Duty Charging in a Central Europe-focused sales role could indicate that Tesla is preparing charging infrastructure ahead of wider Semi deployment in the region. While Tesla has not formally announced a European launch timeline for the Semi, the vehicle, particularly its range, makes it an ideal fit for the area.
Tesla Full Self-Driving is set to get an awesome new feature in the near future, CEO Elon Musk confirmed on X.
Full Self-Driving is the company’s semi-autonomous driving program, which is among the best available to the general public. It still relies on the driver to ultimately remain in control and pay attention, but it truly does make traveling less stressful and easier.
However, Tesla still continuously refines the software through Over-the-Air updates, which are meant to resolve shortcomings in the performance of the FSD suite. Generally, Tesla does a great job of this, but some updates are definitely regressions, at least with some of the features.
Tesla Cybertruck owner credits FSD for saving life after freeway medical emergency
Tesla and Musk are always trying to improve the suite’s performance by fixing features that are presently available, but they also try to add new things that would be beneficial to owners. One of those things, which is coming soon, is giving the driver the ability to prompt FSD with voice demands.
For example, asking the car to park close to the front door of your destination, or further away in an empty portion of the parking lot, would be an extremely beneficial feature. Adjusting navigation is possible through Grok integration, but it is not always effective.
Musk confirmed that voice prompts for FSD would be possible:
Coming
— Elon Musk (@elonmusk) February 21, 2026
Tesla Full Self-Driving is a really great thing, but it definitely has its shortcomings. Navigation is among the biggest complaints that owners have, and it is easily my biggest frustration with using it. Some of the routes it chooses to take are truly mind-boggling.
Another thing it has had issues with is being situated in the correct lane at confusing intersections or even managing to properly navigate through local traffic signs. For example, in Pennsylvania, there are a lot of stop signs with “Except Right Turn” signs directly under.
This gives those turning right at a stop sign the opportunity to travel through it. FSD has had issues with this on several occasions.
Parking preferences would be highly beneficial and something that could be resolved with this voice prompt program. Grocery stores are full of carts not taken back by customers, and many people choose to park far away. Advising FSD of this preference would be a great advantage to owners.
Elon Musk highlights one of Tesla FSD Supervised’s most underrated features
Tesla hiring for Commercial Charging role hints at Semi push in Europe
