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§ Private Profile · Mountain View, CA, USA
Treasure Data is a technology company.
Treasure Data has raised $283.5M across 7 funding rounds.
Key people at Treasure Data.
Treasure Data has raised $283.5M in total across 7 funding rounds.
Treasure Data delivers an enterprise AI and Customer Data Platform (CDP) that unifies and activates first-party customer data. The platform provides comprehensive customer intelligence, empowering marketing, sales, and service teams. It leverages AI for real-time personalization, omnichannel engagement, and optimized paid media, driving data-driven strategies for customer interactions.
Founded in 2011 by Hiro Yoshikawa, Kazuki Ohta, and Sadayuki Furuhashi, Treasure Data emerged from the founders' insight into businesses struggling with fragmented customer data. They recognized the critical need for a centralized system to transform disparate data points into actionable intelligence, building a robust solution for enterprise operations.
Global enterprises in diverse sectors, including automotive, retail, and financial services, utilize Treasure Data to orchestrate personalized customer journeys. The company’s vision focuses on providing brands an intelligent data foundation for deep customer understanding. This enables businesses to foster meaningful engagement and deliver individualized experiences efficiently.
Treasure Data has raised $283.5M across 7 funding rounds. Most recently, it raised $234.0M Other Equity in November 2021.
Key people at Treasure Data.
Treasure Data has raised $283.5M in total across 7 funding rounds.
Treasure Data's investors include Eric Gan, Carbide Ventures, Innovation Network Corporation of Japan, SBI, AME Cloud Ventures, Blockchain Coinvestors AngelList Syndicate, CRV, Dell Technologies Capital, Flybridge, Future Ventures, Greylock, Hardware Club.
Treasure Data is a cloud-native Customer Data Platform (CDP) that builds an enterprise-grade Customer Data Cloud for collecting, unifying, analyzing, and activating massive volumes of customer data across channels like web, mobile, CRM, and streaming sources[3][7]. It serves large enterprises such as Subaru, Pioneer, Warner Bros., Equifax, and Yum! Brands, solving the problem of fragmented data silos by creating unified 360° customer profiles with identity resolution, governance, and AI-driven personalization at scale[2][3][4]. The platform enables real-time insights, predictive analytics, and automated campaigns, pivoting from general big data management in 2016 to CDP-focused solutions like CDP for Marketing, Service, and Sales, with over 450 customers processing billions of records daily[2][6][7].
Treasure Data was founded in 2011 by Hironobu (Hiro) Yoshikawa, Kazuki (Kaz) Ohta, and Sadayuki (Sada) Furuhashi in Mountain View, California, with early backing from Yahoo! co-founder Jerry Yang as an angel investor and board member[2][5][7]. Yoshikawa brought experience from Red Hat and Mitsui, Ohta graduated from the University of Tokyo with technical expertise in scalable software, and Furuhashi contributed to open-source innovations; together, they aimed to create the first prebuilt cloud service for massive-scale data collection, storage, and analysis from sources like web, mobile, IoT, and logs[1][4][5]. A pivotal early moment was releasing Fluentd, their open-source data collection tool, which became an industry standard used by major companies worldwide, driving initial traction with customers like GREE and Wish.com[2][4][7]. The company raised a $15M Series B in its early years, achieved triple-digit YoY revenue growth, and underwent major shifts: acquired by Arm for $600M in 2018 (spun into NVIDIA briefly in 2020), independent again in 2021 after a $234M funding round led by SoftBank, all while pivoting to CDP focus around 2016[1][2][6].
Treasure Data rides the explosive growth of the CDP market, fueled by demands for real-time, privacy-compliant customer personalization amid rising data volumes from digital channels and AI advancements[3][6]. Its timing capitalized on big data shifts post-2011, evolving from IoT/general analytics to CDPs as enterprises sought unified profiles for omnichannel experiences, especially after regulations like GDPR heightened governance needs[3][4][7]. Market forces like AI integration for agentic marketing (e.g., super-agents at CDP World 2025) and the "data as currency" economy favor its strengths in scalability and activation, influencing the ecosystem through Fluentd's standardization and partnerships that unlock enterprise data efficiencies[3][4]. As a consistent Gartner-recognized player, it shapes CDP maturity by demonstrating how platforms must integrate four core functions—capture, management, analytics, activation—for competitive edges in customer intelligence[3][4].
Treasure Data's trajectory points to deepened AI orchestration, expanding "Beyond Marketing" use cases into sales/service while leveraging global presence (U.S., Japan, Europe, Korea) for enterprise dominance[3][6]. Trends like agentic AI, zero-party data, and edge computing will amplify its CDP role, potentially driving further acquisitions or IPO amid CDP market consolidation. Its influence may evolve from data enabler to full ecosystem orchestrator, humanizing tech-human interactions as founders envisioned—transforming raw data into trusted, scalable business currency[4]. This positions Treasure Data as a foundational player in the personalization economy, building on its resilient pivot from big data pioneer to AI CDP leader.
