Treasure Data is a privately held company that provides customer data platforms in the form of data management and analytics software. The company developed Fluentd, a cross-platform open-source data collection software.
Founded: 2011
Headquarters: Mountain View, California, United States
Revenue: 25m_100m
Employees: 201_1k
Website: https://www.treasure.ai
Treasure AI (legally Treasure Data, Inc.) is a privately held enterprise marketing technology company headquartered in Mountain View, California. The company operates in the Customer Data Platform (CDP), Customer Engagement Platform (CEP), and agentic AI marketing categories, selling primarily to large global enterprises. In April 2026, the company rebranded its commercial identity from Treasure Data to Treasure AI to reflect its evolution toward an AI-agent-first product architecture.
Treasure AI is the commercial brand of Treasure Data, Inc., a Delaware corporation. [1] The company's flagship offering is an Agentic Experience Platform (AEP) that combines an Intelligent Customer Data Platform (CDP), a Customer Engagement Platform, AI orchestration, and marketing automation in a single suite marketed under the name AI Marketing Cloud. [2] Core product components include a Marketing Super Agent for multi-step AI campaign execution, an AI Agent Foundry for building and deploying custom agents, AI Decisioning for predictive intelligence, and Treasure AI Studio — a conversational workspace accessible via web, mobile, desktop, and command-line interface. [3][4] The platform is positioned for large enterprises requiring high-volume first-party data unification across brands, geographies, and data sources, with notable vertical emphasis on technology, travel, hospitality, retail, and consumer packaged goods. [5]
Treasure Data was founded in 2011 by Kazuki Ohta, Hironobu Yoshikawa, and Sadayuki Furuhashi. [6] In the same year, the company created Fluentd, a widely-adopted open-source data collection tool. [7] Yahoo! co-founder Jerry Yang was an early angel investor and board member. [7] The company secured $5 million in Series A funding from Sierra Ventures in 2013, followed by $15 million in Series B funding led by Scale Venture Partners in 2015. [7] In August 2018, Arm Ltd. acquired Treasure Data for $600 million to integrate its technology into Arm's IoT platform. [8] When Arm's planned acquisition by NVIDIA in 2021 excluded Arm's IoT Services Group, Treasure Data was separated from Arm and re-established as an independent company in June 2021. [9] In November 2021, the company closed a $234 million funding round led by SoftBank Corporation — described at the time as the largest single funding round for a CDP. [9] In April 2026, Treasure Data rebranded commercially as Treasure AI, announcing a platform evolution toward an agentic, AI-native architecture while retaining its legal corporate entity as Treasure Data, Inc. [1][10]
Treasure AI competes in the enterprise CDP market, which MarketsandMarkets projected to grow at a CAGR of 30.7% from 2025 to 2030. [11] In the inaugural 2024 Gartner Magic Quadrant for Customer Data Platforms, Treasure Data was named a Leader, evaluated among 17 vendors on 15 criteria for Completeness of Vision and Ability to Execute. [12] In the 2025 Gartner Magic Quadrant, the company moved to the Challenger quadrant; Gartner cited pricing as a concern, noting its sample-scenario pricing was nearly double the second-highest response and four times the average across vendors. [13] Forrester named Treasure Data a Leader in its Forrester Wave for B2C CDPs in Q3 2024 and Q3 2025, and a Strong Performer in its Forrester Wave for B2B CDPs in Q3 2025. [14][15] The 2026 IDC MarketScape for Worldwide AI-Enabled CDPs for B2C Users named Treasure AI a Leader alongside Salesforce and Adobe. [16] The company's vendor-stated customer base includes 80 Global 2000 companies. [17] Publicly referenced customers include AB InBev, Yum! Brands (Pizza Hut, Taco Bell, KFC), Nestlé, Subaru, Michaels, Six Flags Entertainment Corporation, Informa, and Brother Sales. [12][17][18]
The enterprise CDP market includes three broad categories: pure-play CDPs (Treasure Data/Treasure AI, Tealium, mParticle), suite-embedded CDPs (Salesforce Data Cloud, Adobe Real-Time CDP), and composable CDPs built on data warehouses (Hightouch, Census). [16] Forrester's Q3 2024 B2C Wave placed Treasure Data alongside Salesforce and Adobe as Leaders in the same evaluation. [19] Third-party analysis positions Treasure AI as best suited for enterprises requiring large-scale data unification across multiple brands, regions, and data sources, contrasting with Salesforce Data Cloud (strongest for Salesforce ecosystem shops) and Twilio Segment (strongest for developer-led, event-pipeline-focused teams). [20] Adobe Real-Time CDP is oriented around organizations already invested in the Adobe Experience Cloud and its strict XDM data schema, whereas Treasure Data originated as flexible big-data infrastructure and evolved toward AI-native marketing activation. [21] The 2026 Gartner Magic Quadrant for CDPs noted Treasure Data's data interoperability strengths via its Hybrid CDP model, while flagging pricing model complexity and limited marketer-friendly tooling relative to some competitors. [13] PitchBook lists Twilio Segment as one of Treasure Data's primary competitors. [22]