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Founded Year

2017

Stage

Series C - II | Alive

Total Raised

$1.337B

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

+74 points in the past 30 days

About Wayve

Wayve develops embodied intelligence for autonomous vehicles within the artificial intelligence and automotive industries. The company specializes in a next-generation approach to self-driving technology, known as AV2.0, which is designed to help fleet operators implement autonomous vehicle technology at scale. Wayve's technology is notable for being the first to deploy autonomous vehicles on public roads using end-to-end deep learning. It was founded in 2017 and is based in London, United Kingdom.

Headquarters Location

230-238 York Way

London, England, N7 9AG,

United Kingdom

+44 20 4574 5971

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Expert Collections containing Wayve

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Wayve is included in 3 Expert Collections, including Auto Tech.

A

Auto Tech

2,550 items

Companies working on automotive technology, which includes vehicle connectivity, autonomous driving technology, and electric vehicle technology. This includes EV manufacturers, autonomous driving developers, and companies supporting the rise of the software-defined vehicles.

S

Supply Chain & Logistics Tech

4,049 items

Companies offering technology-driven solutions that serve the supply chain & logistics space (e.g. shipping, inventory mgmt, last mile, trucking).

A

Artificial Intelligence

9,079 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

Wayve Patents

Wayve has filed 5 patents.

The 3 most popular patent topics include:

  • casting (manufacturing)
  • footwear
  • plastics industry
patents chart

Application Date

Grant Date

Title

Related Topics

Status

4/14/2022

3/26/2024

Social networking services, Network protocols, Social media, Image search, Videotelephony

Grant

Application Date

4/14/2022

Grant Date

3/26/2024

Title

Related Topics

Social networking services, Network protocols, Social media, Image search, Videotelephony

Status

Grant

Latest Wayve News

Palmer Luckey’s vision for the future of mixed reality

Oct 29, 2024

The Oculus founder has pivoted from selling goggles to consumers, to selling them to the military By Philip Cheung This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here . War is a catalyst for change, an expert in AI and warfare told me in 2022. At the time, the war in Ukraine had just started, and the  military AI business was booming . Two years later, things have only ramped up as geopolitical tensions continue to rise. Silicon Valley players are poised to benefit. One of them is Palmer Luckey, the founder of the virtual-reality headset company Oculus, which he sold to Facebook for $2 billion. After Luckey’s highly public ousting from Meta, he founded Anduril, which focuses on drones, cruise missiles, and other AI-enhanced technologies for the US Department of Defense. The company is now valued at $14 billion. My colleague James O’Donnell  interviewed  Luckey about his new pet project: headsets for the military. Luckey is increasingly convinced that the military, not consumers, will see the value of mixed-reality hardware first: “You’re going to see an AR headset on every soldier, long before you see it on every civilian,” he says. In the consumer world, any headset company is competing with the ubiquity and ease of the smartphone, but he sees entirely different trade-offs in defense. Read the interview here . The use of AI for military purposes is controversial. Back in 2018, Google pulled out of the Pentagon’s Project Maven, an attempt to build image recognition systems to improve drone strikes, following staff walkouts over the ethics of the technology. (Google has since  returned to offering services  for the defense sector.) There has been a long-standing campaign to ban autonomous weapons, also known as “killer robots,” which powerful militaries such as the US have refused to agree to. But the voices that boom even louder belong to an influential faction in Silicon Valley, such as Google’s former CEO Eric Schmidt, who has called for the military to adopt and invest more in AI to get an edge over adversaries. Militaries all over the world have been very receptive to this message. That’s good news for the tech sector. Military contracts are long and lucrative, for a start. Most recently, the Pentagon purchased services from Microsoft and OpenAI to do search, natural-language processing, machine learning, and data processing, reports  The Intercept . In the interview with James, Palmer Luckey says the military is a perfect testing ground for new technologies. Soldiers do as they are told and aren’t as picky as consumers, he explains. They’re also less price-sensitive: Militaries don’t mind spending a premium to get the latest version of a technology. But there are serious dangers in adopting powerful technologies prematurely in such high-risk areas. Foundation models pose serious national security and privacy threats by, for example, leaking sensitive information, argue researchers at the AI Now Institute and Meredith Whittaker, president of the communication privacy organization Signal, in a  new paper . Whittaker, who was a core organizer of the Project Maven protests, has said that the push to militarize AI is really more about enriching tech companies than improving military operations. Despite calls for stricter rules around transparency, we are unlikely to see governments restrict their defense sectors in any meaningful way beyond voluntary ethical commitments. We are in the age of AI experimentation, and militaries are playing with the highest stakes of all. And because of the military’s secretive nature, tech companies can experiment with the technology without the need for transparency or even much accountability. That suits Silicon Valley just fine. Now read the rest of The Algorithm Deeper Learning How Wayve’s driverless cars will meet one of their biggest challenges yet The UK driverless-car startup Wayve is headed west. The firm’s cars learned to drive on the streets of London. But Wayve has announced that it will begin testing its tech in and around San Francisco as well. And that brings a new challenge: Its AI will need to switch from driving on the left to driving on the right. Full speed ahead: As visitors to or from the UK will know, making that switch is harder than it sounds. Your view of the road, how the vehicle turns—it’s all different. The move to the US will be a test of Wayve’s technology, which the company claims is more general-purpose than what many of its rivals are offering. Across the Atlantic, the company will now go head to head with the heavyweights of the growing autonomous-car industry, including Cruise, Waymo, and Tesla. Join Will Douglas Heaven on a ride in one of its cars to find out more . Bits and Bytes Kids are learning how to make their own little language models Little Language Models is a new application from two PhD researchers at MIT's Media Lab that helps children understand how AI models work—by getting to build small-scale versions themselves. ( MIT Technology Review ) Google DeepMind is making its AI text watermark open source Google DeepMind has developed a tool for identifying AI-generated text called SynthID, which is part of a larger family of watermarking tools for generative AI outputs. The company is applying the watermark to text generated by its Gemini models and making it available for others to use too. ( MIT Technology Review ) Anthropic debuts an AI model that can “use” a computer The tool enables the company’s Claude AI model to interact with computer interfaces and take actions such as moving a cursor, clicking on things, and typing text. It’s a very cumbersome and error-prone version of what some have said  AI agents  will be able to do one day. ( Anthropic ) Can an AI chatbot be blamed for a teen’s suicide? A 14-year-old boy committed suicide, and his mother says it was because he was obsessed with an AI chatbot created by Character.AI. She is suing the company. Chatbots have been touted as cures for loneliness, but critics say they actually worse isolation. ( The New York Times ) Google, Microsoft, and Perplexity are promoting scientific racism in search results The internet’s biggest AI-powered search engines are featuring the widely debunked idea that white people are genetically superior to other races. ( Wired ) hide Popular

Wayve Frequently Asked Questions (FAQ)

  • When was Wayve founded?

    Wayve was founded in 2017.

  • Where is Wayve's headquarters?

    Wayve's headquarters is located at 230-238 York Way, London.

  • What is Wayve's latest funding round?

    Wayve's latest funding round is Series C - II.

  • How much did Wayve raise?

    Wayve raised a total of $1.337B.

  • Who are the investors of Wayve?

    Investors of Wayve include Uber, Microsoft, SoftBank, NVIDIA, Tech Nation Future Fifty and 21 more.

  • Who are Wayve's competitors?

    Competitors of Wayve include Applied Intuition and 6 more.

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Compare Wayve to Competitors

Applied Intuition Logo
Applied Intuition

Applied Intuition specializes in vehicle software development, focusing on advanced driver-assistance systems (ADAS) and automated driving (AD) within the automotive industry. The company offers a development platform that enables the development, testing, and validation of ADAS and AD systems. Applied Intuition's platform is designed to shorten development cycles, manage system safety, and utilize industry-leading technology to bring ADAS and AD systems. It was founded in 2017 and is based in Mountain View, California.

Imagry Logo
Imagry

Imagry is an autonomous driving software provider specializing in HD-mapless AI-based driving systems for the automotive industry. The company offers a software solution that enables vehicles to navigate roads autonomously without relying on high-definition maps, using real-time vision-based perception and deep neural networks to imitate human driving behavior. Imagry's technology is hardware agnostic, self-sufficient, and can be adapted to various locations and applications, including passenger vehicles, buses, and shuttles. It was founded in 2015 and is based in Haifa, Israel.

Foretellix Logo
Foretellix

Foretellix specializes in the verification and validation (V&V) of automated driving systems (ADS) and advanced driver-assistance systems (ADAS) within the automotive industry. The company offers a platform that orchestrates and manages large-scale simulations to ensure the safety and compliance of ADS and ADAS, utilizing methodologies and technologies such as hyper-automation, big data analytics, and AI. Foretellix's solutions are designed to integrate with various commercial and proprietary simulators, supporting the development and deployment of safe autonomous vehicles in accordance with the latest safety standards. It was founded in 2017 and is based in Ramat Gan, Israel.

StradVision Logo
StradVision

StradVision specializes in AI-based camera perception technology for the automotive industry. The company offers deep learning perception software, SVNet, which utilizes camera sensor data to provide object recognition capabilities for Advanced Driver Assistance Systems (ADAS) and autonomous driving. StradVision's products cater to a variety of automotive safety and navigation needs, including multi-camera systems, augmented reality, and hazard detection. It was founded in 2014 and is based in Pohang-si, South Korea.

Momenta Logo
Momenta

Momenta is a leading company in the autonomous driving technology domain, focusing on developing software solutions for full vehicle autonomy. The company offers products such as MSD, a fully autonomous driving solution designed for taxis and private cars, and Mpilot, a mass-production-ready software for highly automated driving in private vehicles. Momenta's solutions are built on a unique 'flywheel approach' that combines a data-driven methodology with iterative algorithm enhancements to address complex driving scenarios. It was founded in 2016 and is based in Beijing, Beijing.

UISEE Technology Logo
UISEE Technology

UISEE Technology specializes in artificial intelligence and autonomous driving within the transportation and logistics sectors. The company offers a range of autonomous vehicles including unmanned logistics vehicles, autonomous buses, and light trucks, as well as AI-driven services for passenger cars such as RoboTaxi and U-Pilot. UISEE Technology's solutions cater to various industries requiring smart logistics and transportation services, such as the automotive and chemical sectors, and airport autonomous driving systems. It was founded in 2016 and is based in Beijing, Beijing.

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