How China’s first autonomous driving unicorn Momenta hunts for data – TechCrunch


How China’s first autonomous driving unicorn Momenta hunts for data A former scientist at Microsoft and SenseTime bets on the future of self-driving
Before founding the company — which last year topped $1 billion in valuation to become China’s first autonomous driving “unicorn” — he’d already led an enviable life, but he was convinced that autonomous driving would be the next real big thing.
Cao isn’t just going for the moonshot of fully autonomous vehicles, which he says could be 20 years away. Instead, he’s taking a two-legged approach of selling semi-automated software while investing in research for next-gen self-driving tech.
Cao, pronounced ‘tsao’, was pursuing his PhD in engineering mechanics when an opportunity came up to work at Microsoft’s fundamental research arm in Asia, putatively the “West Point” for China’s first generation of artificial intelligence experts. He held out there for more than four years before quitting to put his hands on something more practical: a startup.
“Academic research for AI was getting quite mature at the time,” said now 33-year-old Cao in an interview with TechCrunch, reflecting on his decision to quit Microsoft. “But the industry that puts AI into application had just begun. I believed the industrial wave would be even more extensive and intense than the academic wave that lasted from 2012 to 2015.”
In 2015, Cao joined SenseTime, now the world’s highest-valued AI startup, thanks in part to the lucrative face-recognition technology it sells to the government. During his 17-month stint, Cao built the company’s research division from zero staff into a 100-people strong team.
Before long, Cao found himself craving a new adventure again. The founder said he doesn’t care about the result as much as the chance to “do something.” That tendency was already evident during his time at the prestigious Tsinghua University, where he was a member of the outdoors club. He wasn’t particularly drawn to hiking, he said, but the opportunity to embrace challenges and be with similarly resilient, daring people was enticing enough.

Make the computer, not the car

Cao walked me up to a car outfitted with the cameras and radars you might spot on an autonomous vehicle, with unseen computer codes installed in the trunk. We hopped in. Our driver picked a route from the high-definition map that Momenta had built, and as soon as we approached the highway, the autonomous mode switched on by itself. The sensors then started feeding into the map real-time data about the surroundings, with which the computer could make decisions on the road.momenta
Momenta won’t make cars or hardware, Cao assured. Rather, it gives cars autonomous features by making their brains, or deep-learning capacities. It’s in effect a so-called Tier 2 supplier, akin to Intel’s Mobileye, that sells to Tier 1 suppliers that actually produce the automotive parts. It also sells directly to original equipment manufacturers (OMEs) that design cars, order parts from suppliers and assemble the final product. Under both circumstances, Momenta works with clients to specify the final piece of software.
Momenta believes this asset-light approach would allow it to develop state-of-the-art driving tech. By selling software to car and parts makers, it not only brings in income but also sources mountains of data, including how and when humans intervene, to train its codes at relatively low costs.
The company declined to share who its clients are but said they include top carmakers and Tier 1 suppliers in China and overseas. There won’t be many of them because a “partnership” in the auto sector demands deep, resource-intensive collaboration, so less is believed to be more. What we do know is Momenta counts Daimler AG as a backer. It’s also the first Chinese startup the Mercedes-Benz parent had ever invested in, though Cao would not disclose whether Daimler is a client.
“Say you operate 10,000 autonomous cars to reap data. That could easily cost you $1 billion a year; 100,000 cars would cost $10 billion, which is a terrifying number for any tech giant,” Cao said. “If you want to acquire seas of data that have a meaningful reach, you have to build a product for the mass market.”
Highway Pilot, the semi-autonomous solution that was controlling our car, is Momenta’s first mass-produced software. More will launch in the coming seasons, including a fully autonomous parking solution and a self-driving robotaxi package for urban use.
In the long run, the startup said it aims to tackle inefficiencies in China’s $44 billion logistics market. People hear about warehousing robots built by Alibaba and JD.com, but overall, China is still on the lower end of logistics efficiency. In 2018, logistics costs accounted for nearly 15% of national gross domestic product. In the same year, the World Bank ranked China 26th in its logistics performance index, a global benchmark for efficiency in the industry.momenta
Cao, an unassuming CEO, raised his voice as he explained the company’s two-legged strategy. The twin approach forms a “closed loop,” a term that Cao repeatedly summoned to talk about the company’s competitive edge. Instead of picking between the present and future, as Waymo does with Level 4 — a designation given to cars that can operate under basic situations without human intervention — and Tesla with half-autonomous driving, Momenta works on both. It uses revenue-generating businesses like Highway Pilot to fund research in robotaxis, and the sensor data collected from real-life scenarios to feed models in the lab. Results from the lab, in turn, could soup up what gets deployed on public roads.

Human or machine

During the 40-minute ride in midday traffic, our car was able to change lanes, merge into traffic and create distance from reckless drivers by itself, except for one brief moment. Toward the end of the trip, our driver pushed the lever to trigger a lane change as we approached a car dangerously parked in the middle of the exit ramp. Momenta names this an “interactive lane change,” which it claims is designed to be part of its automated system and by its strict definition is not a human “intervention.”
“Human-car interaction will continue to dominate for a long time, perhaps for another 20 years,” Cao noted, adding the setup brings safety to the next level because the car knows exactly what the driver is doing through its inner-cabin cameras.
Human beings are already further along the autonomous spectrum than many of us think. Cao, like a lot of other AI scientists, believes robots will eventually take over the wheel. Alphabet-owned Waymo has been running robotaxis in Arizona for several months now, and smaller startups like Drive.ai are also offering a similar service in Texas.
Cao is well aware of the contention. He acknowledged that as a company with the power to steer future cars, Momenta has to “bear a lot of responsibility for safety.” As such, he required all executives in the company to ride a certain number of autonomous miles so if there’s any loophole in the system, the managers will likely stumble across it before the customers do.Momenta
In terms of actually designing the software to be reliable and to trace accountability, Momenta appoints an “architect of system research and development,” who essentially is in charge of analyzing the black box of autonomous driving algorithms. A deep learning model has to be “explainable,” said Cao, which is key to finding out what went wrong: Is it the sensor, the computer, or the navigation app that’s not working?
Going forward, Cao said the company is in no rush to make a profit as it is still spending heavily on R&D, but he assured that margins of the software it sells “are high.” The startup is also blessed with sizable fundings, which Cao’s resume certainly helped attract, and so did his other co-founders, Ren Shaoqing and Xia Yan, who are also alumni of Microsoft Research Asia.
As of last October, Momenta had raised at least $200 million from big-name investors, including Daimler, Cathay Capital, GGV Capital, Kai-Fu Lee’s Sinovation Ventures, Lei Jun’s Shunwei Capital, Blue Lake Capital, NIO Capital, and the government of Suzhou, which will house Momenta’s new 4,000-square-meter headquarters right next to the city’s high-speed train station.
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