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Founded Year



Series D | Alive

Total Raised


Last Raised

$135M | 3 yrs ago

About Shumei Technology

Shumei Technology provides business risk management solutions. It uses artificial intelligence and big data to help clients identify and deal with fraud. It offers solutions such as fraudulent spam content and picture detection, fingerprint recognition, mobile phone number identification, and more. The company was founded in 2015 and is based in Beijing, China.

Headquarters Location

14th Floor, Building 3, Wangjing Chengying Center Chaoyang District

Beijing, Beijing,


+86 400-610-3866


Shumei Technology's Product Videos

Shumei Technology's Products & Differentiators

    Tian Wang Full Stack Fraud Management

    Maturing out of years’ experiences of fighting against organized fraudsters, Tian Wang is a full-stack AI-powered risk control solution for online business. With a combination of time-domain correlation network and AI technology, Tian Wang develops an integrated risk control engine of portrait, rules, and AI modeling. It is able to make comprehensive assessment of users in different Internet scenarios susceptible to frauds and identify fraudulent accounts and normal accounts accurately and efficiently. Tian Wang aims to protect online businesses from fraud marketing, transaction risk control, content scrapping, fraud advertisement, helping them lower costs and improve benefits.


Expert Collections containing Shumei Technology

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

Shumei Technology is included in 2 Expert Collections, including Artificial Intelligence.


Artificial Intelligence

10,958 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.



7,289 items

These companies protect organizations from digital threats.

Latest Shumei Technology News

Nextdata is building data meshes for the enterprise

Sep 28, 2023

The concept of a data mesh has been around for a few years. At a high level, it’s a data platform architecture that allows users to access data without transferring it to one of two places: a data lake, or a centralized repository for storing data at scale; or a data warehouse, an enterprise system used for analyzing data from multiple sources. A number of data mesh products exist, including from big vendors like Databricks and Snowflake. But they’re not all created equal. At least, that’s the assertion of Zhamak Dehghani, the founder of Nextdata , a startup creating a “data-mesh-native” platform to build and share what Dehghani describes as “data products.” For one, some data mesh vendors are getting VC attention — including (but not limited to) Nextdata. Nextdata today announced that it raised $12 million in a seed investment led by Greycroft and Acrew Capital, which Dehghani says will be put toward developing its tooling and expanding hiring across Nextdata’s product, engineering and go-to-market teams. Dehghani says that she launched Nextdata to solve the challenges around data sharing as they relate to AI and machine learning. “Today, IT leaders have to either choose between speed of data-driven innovation at the cost of safety and security; or slow data-driven innovation with security,” Dehghani told TechCrunch in an email interview. “The hype around AI isn’t rooted in reality for most enterprises today, as their data management technology still doesn’t enable the sharing of trusted data required.” Prior to starting Nextdata, Dehghani was director of emerging technology at the tech consulting firm ThoughtWorks, where she evangelized the concept of the data mesh to her enterprise clients. Inspired by her work at ThoughtWorks, Dehghani built a data mesh system — Nextdata OS — that allows users to create, share, discover and apply data products for analytics purposes. With ThoughtWorks, users can store data and metadata in a single container — the data product container — that other users can then manage or build into apps, websites and services. Every Nextdata data product container has data governance policies “embedded as code.” These controls are applied from build to run time, Dehghani says, and at every point at which the data product is stored, accessed or read. “Nextdata does for data what containers and web APIs do for software,” she added. “The platform provides APIs to give organizations an open standard to access data products across technologies and trust boundaries to run analytical and machine-learning workloads ‘distributedly.’ Instead of requiring data consumers to copy data for reprocessing, Nextdata APIs bring processing to data, cutting down on busy work and reducing data bloat.” Nextdata claims to have pilots with Fortune 100 companies as well as “thousands” of users in its early access program. The near-term focus is expanding the startup’s team, which currently stands at around 10 people (four contractors and six full-time employees). “With the immense hype around AI, there has never been more urgency for organizations to rethink their data systems to simplify the process of sharing, connecting and discovering enterprise data for analytics and AI in a  decentralized and scalable fashion,” Dehghani said. “We’re building a team of visionaries and problem-solvers to lead the movement to responsibly unlock data for all.”

Shumei Technology Frequently Asked Questions (FAQ)

  • When was Shumei Technology founded?

    Shumei Technology was founded in 2015.

  • Where is Shumei Technology's headquarters?

    Shumei Technology's headquarters is located at 14th Floor, Building 3, Wangjing Chengying Center, Beijing.

  • What is Shumei Technology's latest funding round?

    Shumei Technology's latest funding round is Series D.

  • How much did Shumei Technology raise?

    Shumei Technology raised a total of $218M.

  • Who are the investors of Shumei Technology?

    Investors of Shumei Technology include Tencent, Xiang He Capital, CPE, HOPU Investment Management, Matrix Partners China and 6 more.

  • Who are Shumei Technology's competitors?

    Competitors of Shumei Technology include DataVisor and 3 more.

  • What products does Shumei Technology offer?

    Shumei Technology's products include Tian Wang Full Stack Fraud Management and 1 more.


Compare Shumei Technology to Competitors

Bangsun Technology

Bangsun Technology develops real-time risk control system for the financial sector and anti-fraud products, based on a number of core technologies including device fingerprint, proxy IP recognition, suspicious communication recognition, risk control engines, machine learning, and workflow management. It has provided services including payment anti-fraud, application anti-fraud, Internet lending, data service, robot defense, and anti-money laundering for over 200 financial institutions.

Trusfort Logo

Trusfort provides business security services, proposing the concept of “human-oriented business security”. Trusfort uses business security technology, artificial intelligence to create information security and offer a whole lifecycle business security protection solution based on scenarios to help customers build a safe, intelligent, and trustworthy business system. The company was founded in 2015 and is based in Beijing, China.

Tongdun Technology

Tongdun Technology provides risk management and decision-making solutions. It offers solutions such as retail credit risk management, small and micro credit risk management, marketing and customer value management, account security control, consumer credit risk management, and more. It serves various industries including the financial industry, internet business, logistics, and government bodies. The company was formerly known as FraudMetrix. It was founded in 2013 and is based in Hangzhou, China.

Shield Logo

Shield is a software-as-a-service (SaaS)-based self-learning fraud prevention solution for e-commerce. It combines latest fraud detection technology with machine learning, predictive analytics, and big data that runs on an optimized risk algorithm to compute the decision for accepting or rejecting each transaction. It was formerly known as CashShield. It was founded in 2008 and is based in Singapore, Singapore.


SCAI provides big data risk solutions via data analysis and services for financial credit, insurance anti-fraud, credit risk, market risk, and other businesses.


DataCanvas develops a platform for data science teams that leverages data analysis and artificial intelligence (AI) capabilities for clients in various industries such as finance, transportation, operators, and IT. The platform offers services such as analysis of customers’ footprint of e-banking, big data analysis on customer services, and more solutions. The company was founded in 2013 and is based in Beijing, China.


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