Pony.ai Debates Whether to Go Public
Pony.ai intends to commercialise self-driving technology. Backed by Toyota, Hyundai, and GAC, the company will implement its driverless tech in hundreds of vehicles next year, followed by tens of thousands in 2024-25. It certainly won’t be the only contender—companies from Tesla to Google have launched their own efforts—but the North American company’s unique presence in both the U.S. and China gives it some extra credos.
Recently, Pony.ai tapped Lawrence Steyn, Vice Chairman of Investment Banking at JPMorgan Chase & Co., as the company’s new CFO. This marks a significant step towards accelerating commercial growth and achieving a global rollout. So far, Pony.ai has raised more than US$1bn, including US$462mn from Toyota. In total, the startup was valued at US$5.3bn as of last year. Now, its new CFO will have to decide whether the company goes public—and if so, when he’ll start selling shares.
What’s The End Goal?
Fundamentally, Pony.ai aims to revolutionise the future of transportation. In 2016, former Google and Baidu engineers Peng and Lou Tiancheng founded the startup in Silicon Valley. Since then, the company has launched the first public-facing robotaxi service in Irvine, California—the first of its kind in the state’s history—and started testing driverless vehicles in Guangzhou, China.
When TIME Magazine asked James Peng, Pony.ai’s co-founder and CEO, what his first experience in a self-driving car was like, he described it as life-changing: ‘To see a vehicle drive by itself without human intervention was like science fiction’. Since then, Pony.ai has accumulated more than 1.5 million kilometres in autonomous road testing in complex, chaotic conditions. But it will take additional funding to get the startup where it needs to go.
Will Pony.ai Achieve Wide Adoption?
First of all, there are other competitors raising capital. Self-driving cars cost a huge amount of money to produce, as they rely on sophisticated semiconductors, cybersecurity software, and metals—which means that in the race to conquer the market, those with the biggest pockets often come out on top. ‘It’s a long-term, big opportunity’, Peng told Reuters. ‘So it requires a long lead time for spending’.
Among the competition is Alphabet’s Waymo and General Motor’s Cruise, both of which intend to expand into additional cities and countries and improve their safety technology. In this aspect, what one company accomplishes will benefit them all. Currently, global regulators are unconvinced that autonomous vehicles are safe.
Yet lest we forget, humans aren’t perfect drivers either. ‘We still see more than a million people die from traffic accidents a year’, Peng said. ‘90% of traffic accidents are caused by human error. People get tired and distracted. By using computers to drive a vehicle, we’ll make driving safer’. He added: ‘Within 3 to 5 years, we’ll see thousands or tens of thousands of [self-driving] vehicles on the road’.
Nvidia’s platform for AI startups passes 8,500 members
NVIDIA Inception, an acceleration platform for AI startups, has now surpassed 8,500 members. That’s about two-thirds of the total number of AI startups worldwide, as estimated by Pitchbook.
NVIDIA Inception is a programme built to accommodate every startup that is accelerating computing, at every stage in their journey. All programme benefits are free of charge and startups never have to give up equity to join.
Since Inception’s launch in 2016, it has grown more than tenfold. With total cumulative funding of over $60 billion and members in 90 countries, NVIDIA Inception is one of the largest AI startup ecosystems in the world. Growth has accelerated year over year, with membership increasing to 26% in 2020, and reaching 17% in the first half of 2021.
Data from across the world
Inception figures show the United States leads the world in terms of both the number of AI startups, representing nearly 27%, and the amount of secured funding, accounting for over $27 billion in cumulative funding. 42% of US-based startups were in California, with 29% in the San Francisco Bay Area.
Behind the US is China, in terms of both funding and company stage, with 12% of NVIDIA Inception members based there. India comes in third at 7%, with the UK right behind at 6%.
AI startups based in the US, China, India, and the UK account for just over half of all startups in NVIDIA Inception. Following in order after these are Germany, Russia, France, Sweden, Netherlands, Korea and Japan.
In terms of industries, healthcare, IT services, intelligent video analytics (IVA), media and entertainment (M&E) and robotics are the top five in NVIDIA Inception. AI startups in healthcare account for 16% of Inception members, followed by those in IT services at 15%.
More than 3,000 AI startups have joined Nvidia Inception since 2020. “Some countries are accelerating their ecosystem of AI startups by investing money and encouraging the local players to create more companies,” said Serge Lemonde, global head of Nvidia Inception, in an interview with VentureBeat.
“In our programme, what we are looking at is to help them all,” Lemonde said. “The lesson here is really having this window on the landscape and helping the startups all around the world — [this] is helping us understand the new trends. We can help more startups by developing our software and platforms for the upcoming trends.”