Verne is the newest participant in the race to develop a fully autonomous, boundary-free EV robotaxi, and it comes at the hands of Rimac.
A sensation in the realm of EV supercars, Rimac is synonymous with ultra-luxurious electric vehicles that push the boundaries of performance, if you’re willing to pay the price.
Now, the company’s founder, Mate Rimac, and two of his closest colleagues from Rimac Group, both Marko Pejković and Adriano Mudri, have launched Verne, the company’s crack at an autonomous robotaxi that will be launched in Zagreb, Croatia, in 2026.
Mudri has been named Chief Design Officer at Verne, while Pejković takes over as CEO of the new venture. Its goal: built a fully autonomous EV, enable it as a mobility service platform, and build an adequate infrastructure to support it.
Fully Autonomous EV
Verne will launch a vehicle that is built upon a completely new platform that is designed around safety and comfort, two factors that the company feels are most important in the robotaxi experience.
Completely engineered from the ground up, Verne will develop an autonomous EV using Mobileye Drive, an autonomous platform.
Starting from scratch and building what it believes will be fully operational within two years, the platform is free of any compromises and disadvantages that would come from developing a groundbreaking vehicle type with scraps inspired by a vehicle designed for human driving.
Mobility Service Platform (MSP)
Tailored for driver-free pickup, passengers are the first thought in Verne’s initial development. Of course, this is no different than traditional ride-hailing services that exist today, but without a human controlling the wheel, things need to be different.
Before ordering a ride, the Verne app will allow users to completely personalize everything. From temperature to comfort to lighting to scent, those who request a ride from a Verne EV can choose everything.
Infrastructure
Verne will expand past Zagreb in the coming years, and each city where the company operates will be the home of the “Mothership,” where every vehicle is inspected, maintained, cleaned, and charged.
Verne’s first production facility for the new EV will be in Croatia. The cars will be deployed worldwide.
New Leadership
Mudri has huge expectations for Verne, which is named after Jules Verne, an author who is said to be “the man who invented the future”:
“Just as he used the theme of travel as the driving force in his storytelling, we use it as our inspiration in shaping a future filled with imaginative innovation and tangible achievement. His faith in the future and his spirit sparked the curiosity in generations of scientists and explorers. Making things that sometimes seem impossible, possible.”
Mate Rimac said the goal for Verne is to have more than just Point A to Point B transportation:
“The end result would be the best possible mobility experience for everyone. This means that every customer will have a better service than the best mobility service enjoyed by the very rich, through the service that is affordable for all. You will have a safe and reliable driver, a vehicle with more interior space and comfort than the best limousines today, and a service that will be tailored to your needs in every possible way.”
Robotaxi Design
Verne’s robotaxi vehicle will have two seats and an interior concept that “completely redefines” past narratives about interior space. Mudri said that 9 out of 10 rides through ride-hailing services are used by 1 or 2 people:
“Therefore, we can satisfy most of all trips with a two-seater and create unmatched interior space in a compact-sized vehicle. We completely redefined interior space. More space than a Rolls-Royce to relax and spend your time well.
It will also feature things like music and movies with an ultrawide screen and 17 speakers for enhanced audio.
As for the exterior, it will be sleek, with deeply integrated cameras, radars, short and long-distance-lidars, no windshield wipers, and no side-view mirrors:
Čestitamo Mati Rimcu i njegovom timu na izradi prototipa budućeg autonomnog električnog vozila, “Verne”! Ponosni smo na još jednu ?? inovaciju koja će mijenjati svijet. Podupiremo ulaganja koja povezuju digitalnu i zelenu tranziciju i ostvaruju ciljeve 5️⃣.industrijske revolucije. pic.twitter.com/3yK73MESr7
— Andrej Plenković (@AndrejPlenkovic) June 26, 2024
“This makes the aerodynamic performance more efficient and allows for easier cleaning. One typical element of an automobile we kept is the trunk. So you don’t need to worry if you‘re going to the airport with a lot of luggage or just finished a major grocery shopping.”
There’s a long way to go, a lot of competition, and so many variables that come into play with this new project.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
