Manfu technology completed tens of millions of yuan of a + round financing and accelerated the mass production process of automatic driving data labeling

The following is the Manfu technology completed tens of millions of yuan of a + round financing and accelerated the mass production process of automatic driving data labeling recommended by recordtrend.com. And this article belongs to the classification: Industry information.

Recently, Manfu technology, a service provider of AI infrastructure and data intelligence platform, announced that it had completed tens of millions of yuan of a + round financing in November 2021, and the investor of this round was Tianqi venture capital.

This is the third round of financing completed by Manfu technology in 2021 after the pre-A round of Liyuan venture capital investment and the a round of qianhaixinnuo investment. This round of funds will be mainly used for AI infrastructure construction, automatic driving data labeling, market development and marketing promotion.

The commercialization of Manfu technology began in 2019 and takes the construction of AI infrastructure in the era of data intelligence as the core development direction.

Its main products and services include: data intelligent platform for data life cycle management, AI data center, and data services (data labeling, data acquisition, data cleaning), etc.

With one-stop data solutions from strategy to technology implementation and PLG business model (product led growth), Manfu technology has reached in-depth cooperation with more than 100 enterprises.

Users include the world’s top tier 1 manufacturers, first-line technology companies, mainstream algorithm companies, new forces in car manufacturing, and traditional automobile host manufacturers. The business model has been verified and recognized by the market.

Imbalance between supply and demand of AI data

In recent years, the depth of learning and artificial intelligence has gradually entered the era of singularity.

At present, the realization of artificial intelligence is mainly based on machine learning, especially deep learning. In practical application, whether supervised learning mode or semi supervised learning mode is adopted, it has strong dependence on labeled data.

Mr. Wu Enda has a more intuitive description of the importance of data to AI in the “28 law”: 80% data + 20% model = better AI.

According to the latest statistics of IDC, 85% of the enterprises surveyed worldwide said that the data preparation cost has accounted for more than 50% of the total investment in AI development. At present, the scale of domestic basic data service market has reached tens of billions of dollars, and has maintained a high-speed growth of more than 50% every year.

In the subdivision scene, data annotation is becoming the core of automatic driving. High precision map + lidar is the best solution for automatic driving at present. The weight of 3D point cloud data annotation scene is increasing, and the relevant annotation demand has ushered in explosive growth.

However, compared with the exponential growth of market demand, it is the backward data productivity of the industry. The low efficiency of data production tools (mainly reflected in the data processing capacity of automatic driving 3D point cloud), high production costs, lack of reuse channels of data resources, and the inability to achieve large-scale mass production due to relying on manpower have actually hindered the further development and innovation of AI industry.

The current core contradiction in the data annotation industry is already the contradiction between the data supply of linear growth and the data demand of exponential growth.

Get financing three times a year and lead the track

The imbalance between the supply and demand of AI data has created a large-scale blue ocean market. The data labeling track is favored by foreign capital, and relevant enterprises have successively obtained large amounts of financing.

In sharp contrast, the downturn in the domestic capital market. In the whole year of 2021, domestic data indicated that enterprises generally paid low attention to the capital market, and there were few financing events from leading enterprises.

Against the background of the overall downturn in domestic track investment and financing, Manfu technology has completed multiple rounds of financing in a single year. The key behind this is that Manfu technology has solved the core problem of the industry – the mass production of AI data, especially the mass production of automatic driving 3D point cloud data.

The essence of business comes from the relationship between supply and demand, which is also the first principle of business. In the face of exponential growth demand, the value of the supplier who solves the problem of mass production will often be more recognized by the market.

Taking the new energy automobile industry as an example, high market value enterprises are not automobile manufacturers that face consumers directly, but manufacturers that solve the core resource – battery mass production and supply Ningde era. At present, the market value of Ningde era has reached about twice the total market value of the top three new forces of car making, which is the most convincing evidence of the market’s recognition of the value of Ningde era.

Business logic has commonality. AI is a data-driven science. Data is as important to AI as batteries are to new energy vehicles.

Manfu technology leads the track by completing three rounds of financing in a single year, which is precisely because it solves the problem of mass production of data in the core of AI industry. In fact, even though there are many domestic data labeling enterprises, the number of enterprises that really realize large-scale mass production of data does not exceed three.

The position of the top AI data labeling enterprises in the AI industry chain is equal to that of the top automobile battery manufacturers in the new energy vehicle industry chain. This is also the core reason why the Silicon Valley startup scale AI, based on the data labeling business alone, valued at more than $7 billion in just a few years, was promoted to unicorn.

PLG drives large-scale mass production of AI data

PLG mode (product led growth) is the key for Manfu technology to realize the large-scale mass production of AI data, especially the mass production of automatic driving 3D point cloud data.

The traditional business execution mode of “light technology and heavy manpower” in the data annotation industry has been proved by the market to have problems such as limited business growth and capacity ceiling. The new product driven model of PLG gives Manfu technology the ability to provide more standardized data solutions with lower labor expenditure and marginal cost.

Mindflow seed data service platform, the core product of Manfu technology, as an important part of data intelligence platform system, is an important basis for driving PLG mode.

Mindflow seed data service platform

Through AI driven algorithm annotation, the data processing efficiency of the platform can be improved by more than 10 times; Under AI assisted screening, the data accuracy can reach 99.99%, directly hitting the pain point of data demand.

In the specific application scenarios, especially the automatic driving 3D point cloud data processing scenario, the platform innovatively introduces the functions of automatic key frame, common edge Boolean operation and so on. By virtue of its high agility and high intelligence, it has achieved the domestic leading in data processing efficiency and output quality, and solved the AI application scenarios from the source to continuously expand the demand for multi-source heterogeneous data.

Different from traditional data annotation tools, mindflow seed data service platform not only solves the problem of data production, but also pays attention to project cycle management, and constructs a three-dimensional and fully functional data life cycle management system covering the industry scene.

User defined workflow, user-defined role permissions, multi-dimensional visualization and other life cycle management capabilities can completely end the problems of cumbersome management links, link fragmentation, process black box and so on. The data life cycle can be seen, controlled and perceived, reduce costs and increase efficiency, and enable the fine operation of enterprises.

With the strong innovation and capacity reproduction ability brought by PLG mode, Manfu technology has reached in-depth cooperation with many world-class Tier1 manufacturers, first-line technology companies, mainstream algorithm companies, new forces of car manufacturing, traditional automobile host manufacturers, etc. it is expected that the revenue in 2022 will usher in a high explosive growth of more than five times.

More than data annotation

The independent and self-developed data intelligence platform, reproducible AI data mass production capacity and good user reputation have enabled Manfu technology to achieve business growth beyond expectations in the changing market. The AI driven data service system has verified the application value and commercial potential in automatic driving and other industries.

In the face of the era of digital transformation and the rapid expansion of multi-source heterogeneous data processing demand, Manfu technology is also keenly aware that relying solely on large-scale mass production data resources is not enough to meet the challenges brought by AI landing.

The data of the era of oil technology has not been widely recognized, and the data of the oil industry is not as important as the data of the era of oil technology. The data industry is at the end of the new era of AI. The market value of scale AI of $7 billion is only the beginning of a trillion market. The industry looks forward to more creative voices.

Manfu technology will also go beyond data tagging. While improving the AI infrastructure and further improving the mass production capacity of data, it will also deeply explore the way to reduce costs and increase efficiency in the industry, and take data trading as the core to improve the large-scale reuse and Realization of AI data.

In a broader AI application scenario, Manfu technology will also try to break the hierarchical barrier and actively explore the fields of unstructured database, algorithm service and so on. Take AI as the core driving force, with a view to accelerating the landing application and realizing the real inclusive AI. More reading: survey on the development trend of China’s agricultural products circulation industry in 2015 Ren Xin Mars, the top ten health technology startups in Malaysia: why do people buy clothes and shoes online? Mobile game operation: how can game data be used to “control the whole situation”? Huawei Investment Holding Co., Ltd. 2019 annual report ivcrc: the transaction volume of Israeli high-tech companies exceeded US $50 billion from 2004 to 2013. Tencent mutual Entertainment: Q3 AI industry heat observation in 2017. In 2016, China’s aviation data inventory, a total of 490 million people traveled by plane, wechat 5.0 initial experience, Solve the communication problems between people and reshape the closed-loop digital application of enterprises deepexi DXP makes “digitization” return to its essence China Consumer Association: 2021 consumer satisfaction evaluation of 100 cities social media data interpretation: Chen Kun vs Huang Xiaoming three of the seven soft skills necessary for top freelancers: self charging CrunchBase: 2017 Q1 global venture capital ecological inventory smart TV survey: video, games Educational application ranks the top three

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