36 氪 was informed that ADXL Technology has completed a multi-million-dollar Pre-A round of financing led by Jingwei China, Jinshajiang Venture Capital and old shareholders’ linear capital, and Huachuang Capital.This is the second round of financing completed by JJ Technology in 2019 after the angel round.Jaeger-LeCoultre is a 36-year-old startup company in the AIoT field that has previously been concerned and reported.The company was founded in early 2019 and wants to build a global AIoT PaaS + Service platform that provides AI edge computing and video cloud solutions.The company has received angel round financing of tens of millions of yuan in 2019, led by linear capital, and angel investors such as Huachuang Capital, Zhiyou Jinmiao, and IMO have followed suit.It is predicted that the global AIoT equipment will reach 15-20 billion units in 2023. To achieve a good AIoT product experience, more than ten technology modules such as device management, messaging, audio and video transmission need to be integrated in the cloud to developThe process is complex and expensive.The addition of AI heterogeneous computing has further increased the threshold for research and development of such cloud services.Jaeger-Tech’s PaaS products unify these capabilities into a common interface, empowering AIoT device manufacturers and brand customers, thereby reducing the development threshold and ensuring service quality while accessing mass products.From the perspective of Jaeger-Technology, the core difference of this PaaS solution lies in its AI capabilities for video data, which provides AI functions covering multiple scenarios, including face recognition, behavior analysis, package detection, vehicle detection and tracking., Animal detection and tracking, human shape recognition and tracking, home object recognition and other capabilities, and a combination of functions built on these capabilities.Users can freely choose scene-based AI function services just like selecting apps from the App Store. This is exactly the service platform part of Jaeger Technology products.At present, the first AI camera product built on the Jaeger-LeCoultre PaaS + Service platform has been mass-produced by customers and sold on Amazon. The product is a power cordless AI camera similar to Arlo, which costs $ 79.Among the many AIoT categories, the reason why consumer security video clouds are chosen as the first entry point is that J & J has its own considerations.In the past, global shipments of security cameras have grown rapidly due to mature hardware solutions.At present, more than 2,600 camera-related suppliers (factories) can be searched on Alibaba. Now, complete cloud services and AI capabilities have become an inevitable option for these vendors to stay in the market.It is precisely this market opportunity that J & J values.Full-featured AI camera products not only involve structure, electronics, algorithms, software, and cloud services, but also involve calibration and calibration, cost control and yield control in hardware mass production. The team needs to have not only comprehensive AI algorithms, software, hardware, etc.Technology also requires experience in mass production supply chains.Only a few companies worldwide currently have these complete capabilities.The core team of Jaeger Technology is from Amazon, DJI, Segway, Tsinghua, Stanford, Swiss Federal Institute of Technology and other companies and institutions. It has experience in R & D and mass production of consumer-grade machine vision products.Jaeger-LeCoultre said that using Jaeger-LeCoultre’s industry solutions, from concept design, mass production control to shipment and after-sales, customer R & D costs are almost negligible, and the R & D cycle is shortened from 6 months to 4-6 weeks to achieve rapidAt the same time, the company will also use the global channel resources accumulated by the team to help customers with marketing and speed up inventory turnover.At the moment when the AI camera is still in its infancy, J & J hopes to gradually evolve into an AIoT Pass + Service platform covering all categories through products and services such as hardware solutions and video clouds.To do this first means that the company needs to have sufficient hardware access.The current model of Jaeger Technology is closer to To developers.The company believes that the camera brand manufacturers and solution business circles are relatively concentrated, the information is spread quickly, and the products can be quickly disseminated to obtain customers.On the other hand, you need to have enough applications on the platform to enrich the platform’s capabilities.At present, the Jaeger-Technology team is also developing corresponding AI-based applications, and developers may provide corresponding AI applications in the future.From the perspective of business analysis, the AIoT-PaaS model adopted by JJ Technology is no stranger. Tuya Smart, established in 2014, is the pioneer of this business model.Tuya Smart mainly provides hardware intelligence solutions. By providing intelligent cloud services and software and hardware solutions for the Internet of Things, it helps traditional hardware manufacturers to upgrade their products and quickly realize hardware intelligence.According to public information, by 2017, Tuya Smart has covered more than 200 countries and regions including Japan, Southeast Asia, etc., the daily processing device requests have exceeded 20 billion times, the daily AI interaction has reached 5 million times, and the accumulated data volume has reached 1PB. Annual customersThe total GMV is over 10 billion.At present, Tuya Smart has a valuation of more than $ 1 billion.To some extent, it can be said that Jiga Technology tells the business story of the machine vision version of doodle intelligence.It is likely that on the one hand, the AIoT-PaaS model has proven to have the opportunity to quickly measure up, and on the other hand, because video AI is the most suitable opportunity point to cut in.The data shows that the home scene accounts for nearly 50% of the number of AIoT connections, of which “environmental control”, “lighting” and “security” are the three largest areas.Tuya Smart has achieved rapid growth in access with intelligent lighting control as its starting point, and has been valued at over $ 1 billion by the capital market.JJ Technology’s home security field is facing a new stage from 7×24 hours of video recording to intelligent event identification and response. Billions of cameras will undergo a fundamental transformation from “video recording and review equipment” to “automated eyes”.At the same time, compared to the “lighting” scene, JJ Technology believes that the data security density of the “security” scene is higher, and it also has the opportunity to realize greater commercial value.First of all, high information density means that both the “calculation” and “storage” businesses can be realized. Calculation is the analysis of real-time events and intelligent identification and response. Storage is a proven charging model.Take Arlo, a well-known company in the field of AI cameras, as an example. At present, the profits brought by cloud storage have accounted for 40% of the company’s total profits (the remaining 60% are hardware sales profits).Recently, Google Nest has also upgraded the video cloud storage function to the high-end version.Of course, Jaeger-Tech’s AIoT Paas + Service platform may also face competition including Tuya Smart and larger platforms.Currently, Tuya Smart has launched solutions for AI camera products.Jaeger-LeCoultre believes that the company still has an advantage in the technology of its products; compared with the platforms of large companies such as Ali and Huawei, Jaeger-LeCoultre’s solutions are closer to industry needs.Pass cloud platform competition is often a global competition.Jaeger-LeCoultre believes that Chinese companies have more advantages on the AIoT platform.This is mainly because, first, the demand is increasing rapidly, and the intelligent penetration rate of equipment worldwide is rapidly increasing; second, the technical foundation is already in place, and this process is essentially the integration of the equipment produced by the “world factory”.Into the “World Cloud Platform” (the complete IaaS layer makes it easy for Chinese companies to deploy cloud services to other parts of the world); Thirdly, the transmission channel is efficient, starting from the research and development of product manufacturing, and manufacturing companies are geographicallyThere is concentration, so the internal communication effect of the industry is very obvious, and almost no marketing costs can achieve rapid growth of the cloud platform..
36 氪 Debut | “Addx.ai” Completes Multi-Million Dollar Pre-A Financing, Wants to Build AIoT PaaS + Service