Westwell Lab company logo

The profile is currenly unclaimed by the seller. All information is provided by CB Insights.

westwell-lab.com

Founded Year

2015

Stage

Series C - II | Alive

About Westwell Lab

Westwell Lab is an artificial intelligence chip maker, specialized in Neuromorphic engineering

Westwell Lab Headquarter Location

No. 102, Lixi Road Changning District

Shanghai, Shanghai, 200085,

China

Predict your next investment

The CB Insights tech market intelligence platform analyzes millions of data points on venture capital, startups, patents , partnerships and news mentions to help you see tomorrow's opportunities, today.

Research containing Westwell Lab

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Westwell Lab in 1 CB Insights research brief, most recently on Apr 16, 2020.

Expert Collections containing Westwell Lab

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

Westwell Lab is included in 2 Expert Collections, including Artificial Intelligence.

A

Artificial Intelligence

8,718 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

S

Semiconductors, Chips, and Advanced Electronics

6,037 items

Companies in this collection develop everything from microprocessors to flash memory, integrated circuits specifically for quantum computing and artificial intelligence to OLED for displays, massive production fabs to circuit design firms, and everything in between.

Latest Westwell Lab News

Port Automated Driving Report, 2021

May 20, 2021

The surging global freight shipping rates will rev up the deployment of automated driving in ports. The global freight shipping rates have enjoyed a marked increase since June 2020, for example, from USD1,358 per FEU on March 5, 2021 to USD4,115 per FEU on March 6, 2021. May 20, 2021 09:55 ET Lyon, FRANCE New York, May 20, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Port Automated Driving Report, 2021" - https://www.reportlinker.com/p06073102/?utm_source=GNW The frequent shipping crises in 2021 have forced many exporters to sign freight contracts for the next 12 months at high prices. A combination of factors including soaring demand for goods boosted by global fiscal and monetary stimulus, saturated ports, and shortage of ship and dock workers and truck drivers trigger the increase in shipping costs. Port operators are keen on higher operation efficiency and solutions to labor shortage. Globally, foreign countries made an early start on straddle carrier and AGV, having won a place in the market. Yet it is hard for them to accelerate port container turnover and lower operating cost in a short time, due to rising international shipping costs, too long time taken to deploy AGVs, and larger space needed for autonomous straddle carriers. While, autonomous container trucks cost less than other solutions, its rapid deployment only requires introduction of intelligent roadside facilities to existing smart terminals. It is predicted that large container ports worldwide will work to deploy autonomous container trucks from 2021 onwards. As a key importer and exporter in the world, China is trying hard to promote autonomous driving that enables port logistics and enhance the construction of new-generation automated terminals and the mass adoption of autonomous container trucks. By 2025, some coastal container hub ports should preliminarily build intelligent systems that enable comprehensive perception, internet of everything, and port-truck cooperation; by 2035, container hub ports should complete the construction of intelligent systems, according to the Guideline to Accelerate the Building of World-class Ports issued by the Ministry of Transport of China. Faster progress in construction of “new infrastructure” in ports comes with the boom of 5G, CVIS and autonomous driving technologies. Autonomous logistics covers the whole process from port shipping hubs to trunk highways. Port automated driving is a typical closed scenario of low speed operation and a representative scenario that is the first one to allow for commercial use of autonomous driving. In current stage, China boasts the ownership of more than 25,000 container trailers, but most port terminals still depend on manned container trucks, with the penetration of autonomous ones lower than 2%. It is expected that in 2025, 6,000 to 7,000 L4 autonomous container trucks will come into service in Chinese ports, with their penetration over 20%; China’s port automated driving market will be worth more than RMB6 billion in 2025, holding roughly 30% of the global market. Despite not a big market, port automated driving creates a demonstration effect and many derivatives, such as autonomous logistics scenario covering the whole process from shipping to port and then to trunk highway and logistics hub. At first, port autonomous container trucks take priority to acquire the rights of transporting containers from ships to container yards to distributing centers. On one estimate, China’s trunk logistics market valued at RMB5 trillion or so (approximately USD700 billion) attracts autonomous driving investors. In 2020, half the autonomous driving funding cases in China targeted start-ups making deployments in commercial vehicles. Among the 19 investees, 8 that deploy trunk logistics scenarios averagely raised more funds than those focusing on other segments. On April 15, 2021, TuSimple listed its shares on Nasdaq, with the first-day closing price at USD40 a share sending its market capitalization to USD8.48 billion. TuSimple concentrates on L4 automated driving for such logistics scenarios as highways, ports and sites. In March 2021, TuSimple became qualified for intelligent connected vehicle demonstration application in Shanghai, which allows it to carry out load tests on designated test roads in the downtown, Lingang Logistics Park, East Sea Bridge and Yangshan Port within the Lin-gang Special Area of China (Shanghai) Pilot Free Trade Zone. Port logistics has been a critical application scenario of autonomous vehicles. That is mainly because: First, port automated driving can be deployed in the shortest time, pays off and offers a clear business model. It is expected the commercial use of port automated driving will be widespread in the next two or three years. Actual operation of automated driving that needs heavy investment and has a long payback period, allows for testing technologies in ports and also brings benefits, making the commercial operation a reality in a short term. Second, it takes just one or two years to extend the commercial use of automated driving from ports to trunk logistics, because the two scenarios share hardware devices of commercial vehicles like chassis and use the common engineering approaches, and the large-scale commercial operations in ports will accumulate and iterate capabilities of algorithm, engineering, operation and commercialization rapidly, preparing for future extension to external container trucks and trunk logistics. China already has 13 ports introducing autonomous container trucks. Since 2018, China has speeded up construction of autonomous ports. Quite a few autonomous driving solution providers have phased in application to autonomous trucks for commercial trial use. At present, there are 13 ports applying autonomous container trucks, including Shanghai Yangshan Port, Tianjin Port, Mawan Port, Ningbo Zhoushan Port, Zhuhai Port and Xiamen Port, which forms a “north-central-south” coastal deployment pattern. China: port automated driving is often found in the southeast coastal ports, especially in new or expanded coastal port projects like Shenzhen Mawan Smart Port, Shanghai Yangshan Port, Ningbo Zhoushan Port and Tianjin Port, while hardly seen in inland ports and river terminals due to more bulk cargos and less containers there. Overseas: Chinese companies are making an aggressive expansion in overseas markets. In 2020, Shanghai Zhenhua Heavy Industries (ZPMC) and Westwell Lab began to operate Westwell Lab Q-Truck at Khalifa Port Container Terminal Phase II in Abu Dhabi, UAE; in April 2020, Westwell Lab’s 6 Q-Truck trucks went into operation in Laem Chabang, Thailand and completed 12-hour continuous loading and unloading operation. In the scenario of horizontal transportation at port container terminals, autonomous driving solutions that enable single vehicles are not enough to meet the current actual needs of smart terminals. Fleet-level scheduling systems are thus needed to bridge the gap between the original production operation system and single vehicles to let the two systems work together smoothly for higher overall efficiency. Development Trends of Port Automated Driving 5G-based network communication (5G Port Private Network+MEC+V2X): “port automated driving” requires low latency, large bandwidth, high reliability communication connections; communication systems for large special operation equipment for automated terminals need to afford efficient and reliable transmission of control, multi-channel video and other information. 5G V2X is a new engine for the construction of “smart ports”. In September 2020, Beijing Trunk Technology Co., Ltd.’s autonomous container trucks packed 5G V2X technology, a solution to ultra-long truck queues in port logistics hubs. 5G V2X enables autonomous container trucks to perceive more widely for better interconnection with other production equipment and systems in port areas. Moreover, based on low-latency, high-bandwidth 5G networks, the cloud computing and remote monitoring services enable real-time system optimization, intelligent scheduling control and remote driving. Electrified/hydrogen fuel-powered: transport vehicles in autonomous ports feature electric drive, quicker response, direct power supply to the autonomous driving system, and higher efficiency than fuel-powered vehicles. Electric vehicles for autonomous ports hold the trend. Among current autonomous container trucks operated in ports, 8 models, or 61.5% of the total are electric drive. SAIC-Iveco Hongyan Commercial Vehicle Co., Ltd. has introduced intelligent hydrogen fuel cell heavy trucks, giving full support to construction of green ports and green transportation systems. In April 2020, Shenzhen Center Power Tech. Co., Ltd. made a strategic investment in Westwell Lab, aiming at co-developing port hydrogen-powered autonomous vehicles and building a port AI + hydrogen energy ecosystem in an age of 5G+AIoT. Top-level design: through the lens of digitalization in the whole industry, port scenario lags behind others in such as digital concept and new technology application. Greater effort should be made on new digital technology development and top-level design, and data flow + business flow development plan on the basis of other technologies. Top-level design brings a shake-up to existing port information and intelligent construction resources. In January, 2021, Beijing Trunk Technology Co., Ltd. and Huawei signed a cooperative agreement in Tianjin Port. With its 5G technology, Huawei provides “Car Cloud”-“Roadside”-“Car End” port intelligent driving solutions. In August 2020, Alibaba Cloud won the bidding of Shandong Port Group (China’s first smart port owning 4 port companies: Qingdao Port, Rizhao Port, Yantai Port and Bohai Bay Port) for top-level design schemes. Platooning/CVIS: in the closed port environment with multiple scenarios, autonomous container trucks need to communicate with other container trucks, other types of vehicles, port equipment and containers. Fleet operation and CVIS is a trend for port automated driving. In November 2020, the platooning of 13 autonomous container trucks independently developed and delivered by Beijing Trunk Technology Co., Ltd. was carried out in Ningbo Zhoushan Port. This is another delivered mass-production project of the company following the commercial order for 25 autonomous container trucks from Tianjin Port.

Westwell Lab Web Traffic

Rank
Page Views per User (PVPU)
Page Views per Million (PVPM)
Reach per Million (RPM)
CBI Logo

Westwell Lab Rank

  • When was Westwell Lab founded?

    Westwell Lab was founded in 2015.

  • Where is Westwell Lab's headquarters?

    Westwell Lab's headquarters is located at No. 102, Lixi Road, Shanghai.

  • What is Westwell Lab's latest funding round?

    Westwell Lab's latest funding round is Series C - II.

  • Who are the investors of Westwell Lab?

    Investors of Westwell Lab include COSCO Shipping Lines, Parkland Capital, Shanghai STVC Group, Chuangyan Zhongxiang Capital, Empower Investment and 16 more.

  • Who are Westwell Lab's competitors?

    Competitors of Westwell Lab include Cerebras Systems, Blaize, Horizon Robotics, Mythic, ChipIntelli and 16 more.

You May Also Like

V
Vathys

Vathys is an artificial intelligence company that makes a deep learning chip that is supposedly 10x faster than the competition. Computation accounts for 8 percent of power consumption of a chip. The rest is data movement. By addressing data movement, Vathys has created a processor that is 10x faster than the competition.

C
ChipIntelli

ChipIntelli is a provider of artificial intelligence chips, as well as related integrated circuit designs. Its automatic speech recognition chip (CI1006) is a commercialized automatic local speech recognition chip based on DNN architecture and deep learning. Compared with schemes on cloud recognition, it has advantages such as voice boot, offline recognition, and fast response speed, which improve the speech recognition experience. Its interactive voice & networking hardware can support intelligent home appliances, intelligent robots, and other intelligent products and solutions.

I
Intellifusion

Intellifusion produces an artificial intelligence chip to perform visual recognition and big data analysis.

Bitmain Technologies Logo
Bitmain Technologies

Bitmain Technologies was established to develop and sell bitcoin miners using Bitmain's ASIC chip technology.

A
Another Brain

Another Brain creates chips with integrated artificial intelligence. Its chipsets allow any type of sensor to understand its environment and learn from it, in an autonomous and unsupervised manner. Its markets are intelligent cars, industrial robotics, and drones.

Wave Computing Logo
Wave Computing

Wave Computing develops a high-speed machine learning solution for data center-based training and per the company delivering up to 1000x the performance for neural network training. Wave's new compute appliance leverages the company's patented dataflow architecture, which eliminates the need for a central processing unit (CPU) or graphic processing unit (GPU), removing the typical performance and scalability bottlenecks found with traditional deep learning solutions.

Discover the right solution for your team

The CB Insights tech market intelligence platform analyzes millions of data points on vendors, products, partnerships, and patents to help your team find their next technology solution.

Request a demo

CBI websites generally use certain cookies to enable better interactions with our sites and services. Use of these cookies, which may be stored on your device, permits us to improve and customize your experience. You can read more about your cookie choices at our privacy policy here. By continuing to use this site you are consenting to these choices.