DataVisor

  • Machine Learning
  • 3 Case Studies
Unsupervised Machine Learning for Fraud Detection
About

Founded in 2013, DataVisor is the leading fraud detection solution utilizing unsupervised machine learning to detect and prevent modern, sophisticated cyber attacks. The company is headquartered in Mountain View, California with offices in Beijing and Shanghai.

DataVisor’s mission is to build and restore trust online. It’s made up of a team of world-class experts in big data infrastructure, machine learning and security. DataVisor provides the only proven application of unsupervised machine learning (UML) at high accuracy and billion account scale for fraud and financial crimes. The DataVisor Platform detects bad actors without needing training data, and often before they can do damage.

To date, DataVisor has protected more than 3 billion accounts globally from some of the largest financial institutions and Internet properties in the world, including Pinterest, Yelp, Letgo, Alibaba Group, Dianping, Toutiao, Cheetah Mobile and Tokopedia.

Company Details
  • https://www.datavisor.com/
  • Headquarters 967 N Shoreline Blvd Mountain View CA 94043
  • Year Founded 2013
  • Current Funding 2013
  • Company Size 51-200 employees
  • Specialties Machine Learning, Security, Big data, Fraud detection, Internet
Case Studies
Case Study : Social App Uses Ai To Prevent Promotion Abuse

Read this case study to learn how DataVisor detected millions of fraudulent accounts with 99%+ accuracy.

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Case Study : Finance | Machine Learning To Stop Application Fraud

Read this case study to learn how DataVisor detected an additional 30% of fraudulent accounts on top of the bank’s...

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Case Study : P2p Marketplace Fraud Case Study

DataVisor helped protect a large, mobile P2P Marketplace from fraud and abuse using Unsupervised Machine Learning.

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