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§ Private Profile · Mountain View, CA, USA
SaaS platform for AI-powered fraud, risk, and financial crime prevention across financial services and digital commerce, with real-time detection.
Based in Mountain View, California, DataVisor provides a cloud-based artificial intelligence SaaS platform designed for comprehensive fraud, risk, and financial crime prevention. The company utilizes proprietary machine learning algorithms to detect and mitigate sophisticated digital fraud in real time across the broader financial services and digital commerce sectors. Operating on a massive global scale, the enterprise software currently secures more than 4.2 billion protected accounts worldwide by continuously monitoring customer touchpoints from initial user onboarding through complex anti-money laundering workflows. To support its ongoing market expansion and product development initiatives, the organization has secured significant financial backing from a syndicate of prominent venture capital firms, including Brighton Park Capital, NEA, GSR Ventures, Sequoia, and Genesis Capital. The technology company was officially founded in 2013 by founders Yinglian Xie and Fang Yu, who currently serve as CEO and CPO.
DataVisor has raised $135.0M across 4 funding rounds.
DataVisor has raised $135.0M in total across 4 funding rounds.
DataVisor has raised $135.0M across 4 funding rounds. Most recently, it raised $40.0M Other Equity in December 2022.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Dec 14, 2022 | $40M Venture Round | TIM Drager | GSR Ventures, NewView Capital | Announced |
| Dec 1, 2022 | $40M Series U | Brighton Park Capital | CMFG Ventures, Founders Co OP, Techstars, Rick Wagoner, GSR Ventures, NewView Capital | Announced |
| Feb 1, 2018 | $40M Series C | Neil Shen | Benchmark, Decibel Partners, M.g. Siegler, Menlo Ventures, Scale Venture Partners, Sequoia Capital China, Workday Ventures, MG Siegler, GSR Ventures, NEW Enterprise Associates | Announced |
| Oct 1, 2015 | $15M Series A | Kevin Fong, NEW Enterprise Associates | Benchmark, Decibel Partners, M.g. Siegler, Menlo Ventures, Scale Venture Partners, Workday Ventures, MG Siegler | Announced |
DataVisor has raised $135.0M in total across 4 funding rounds.
DataVisor's investors include Tim Drager, GSR Ventures, NewView Capital, Brighton Park Capital, CMFG Ventures, Founders Co-op, Techstars, Rick Wagoner, Neil Shen, Benchmark, Decibel Partners, M.G. Siegler.
DataVisor is an AI-powered SaaS platform specializing in real-time fraud and risk management, primarily serving financial institutions, fintech companies, and large consumer-facing enterprises to combat fraud, financial crimes, and AML compliance issues.[1][2][4][5] It solves the problem of fast-evolving cyber threats by integrating heterogeneous data sources, unsupervised and supervised machine learning, device intelligence, and link analysis for proactive detection and mitigation, enabling frictionless customer experiences while minimizing losses—trusted by Fortune 500 firms like Affirm and Taskrabbit, with over 4.2 billion protected accounts worldwide.[1][3][5][6] The company demonstrates strong growth momentum as a Series C venture-backed firm (investors include Sequoia, NEA, and Brighton Park Capital), recognized repeatedly as a Gartner Cool Vendor and industry leader in fraud prevention.[1][5][6][8]
Founded in 2013 in Mountain View, California, by Yinglian Xie (CEO) and Fang Yu (CPO)—two female leaders with expertise in large-scale, real-time machine learning systems—DataVisor emerged to address gaps in traditional fraud detection amid rising digital threats.[2][4][6][8] The idea stemmed from their backgrounds in building scalable ML platforms, focusing on unsupervised algorithms to proactively identify unknown fraud patterns without relying on labeled data.[3][6] Early traction came from its adoption by global enterprises, evolving from a fraud detection specialist to a comprehensive end-to-end SaaS platform for fraud, risk, and financial crime prevention, backed by strategic investors like Sequoia and Brighton Park Capital who aided market targeting.[1][6][8]
DataVisor rides the explosive growth of AI-driven fintech security, where sophisticated fraud (e.g., AI-generated synthetics, cross-account attacks) costs billions annually, amplified by digital commerce expansion and regulatory pressures like AML.[2][5][7] Its timing aligns perfectly with the shift to real-time, proactive defenses in a post-pandemic world of 350M+ user marketplaces and 20M+ card applications, where legacy tools fail on unstructured data—positioning it ahead of competitors like Sift and SEON via superior unsupervised ML.[2][7] Market forces favoring it include cloud-native scalability for hyperscale ecosystems and investor focus on "future-proof" platforms amid rising cyber threats; it influences the ecosystem by empowering clients (e.g., auto-fraud blocking) and fostering industry collaboration, restoring online trust for safer digital economies.[3][5][6]
DataVisor is primed for expansion as AI agents and intelligent automation become table stakes in fraud prevention, potentially capturing more fintech/enterprise share through partnerships and global scaling.[5][8] Trends like AI-empowered attackers and stricter compliance will drive demand for its adaptive platform, evolving its influence toward leading unified financial crime ecosystems—building on a decade of pioneering to protect tomorrow's digital touchpoints. This cements its role as the proactive shield for trust in an increasingly threatened online world.[3][4][7]