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Brief
Treasure Data was rebranded to Treasure AI (Apr 2026)— see Treasure AI for current status.
Treasure Data

Treasure Data

Customer Data Platform (CDP)treasuredata.com

Treasure Data, which officially rebranded as Treasure AI in April 2026, is an enterprise customer data platform that has since repositioned itself as an Agentic Experience Platform.

Last updated Oct 11, 2026 by the ATDb Editorial Team · Connections updated Oct 13, 2026

Founded
2011
HQ
Mountain View, California, United States
Connections
47

AI-drafted from public sources16 sources cited

At a glance

Employees
501-1000
Funding
$63M
Revenue
$50M-$150M
Stock
N/A
28integrations16competitors

About

Named a Leader in the IDC MarketScape 2024–2025 for B2C-focused CDPs for the second consecutive time; strong presence among Fortune 500 and Global 2000 companies, with particular depth in Japan and Asia-Pacific markets

Treasure Data, which officially rebranded as Treasure AI in April 2026, is an enterprise customer data platform that has since repositioned itself as an Agentic Experience Platform. The platform pulls customer data together from any source, resolves identities across channels, and uses AI agents to autonomously handle personalization, messaging, and decisioning — while also bundling omni-channel messaging and a continuous Customer Intelligence Loop. For marketers and advertisers, this means native support for email, SMS, mobile push, in-app, and LINE messaging, along with AI-driven decisioning and real-time personalization, removing the need to stitch together separate vendors at each stage of the customer journey. Hundreds of Fortune 500 and Global 2000 companies — including ABInBev, Yum!, Nestlé, Stellantis, Diageo, and Royal Caribbean — rely on the platform to turn customer data into a business asset spanning marketing, sales, and services. The platform was named a Leader in the IDC MarketScape 2024–2025 evaluation of B2C-focused CDP vendors for the second consecutive time. Source 1: cdp.com — What Is Treasure AI (Formerly Treasure Data)? Source 2: snowflake.com — Treasure Data | Snowflake Partners Source 3: improvado.io — 10 Best Treasure Data Competitors in 2026

Business model

SaaS

Target market

Enterprise

What they offer

  • Agentic Experience Platform

    The rebranded core platform (formerly the Treasure Data CDP) that uses AI agents to autonomously handle personalization, messaging, and decisioning across the customer journey.

  • Customer Data Platform (CDP)

    Enterprise-grade CDP that ingests, unifies, and activates customer data from any source, forming the data foundation of the platform.

  • Identity Resolution

    Cross-channel identity stitching that creates unified customer profiles by resolving identities across online and offline touchpoints.

  • Customer Intelligence Loop

    A continuous feedback mechanism that uses AI to learn from customer interactions and refine personalization and decisioning over time.

  • Omni-Channel Messaging

    Native messaging capabilities spanning email, SMS, mobile push, in-app notifications, and LINE, enabling marketers to engage customers without additional vendors.

  • AI-Driven Decisioning

    Real-time AI decisioning engine that determines the next best action or message for each customer based on unified profile data.

  • Audience Segmentation

    Advanced segmentation tools that allow marketers to build and activate precise audience segments from unified customer data.

  • Journey Orchestration

    Tools for designing and automating multi-step customer journeys across channels, powered by AI agents.

Key features

AI agents for autonomous marketing workflow executionEnterprise-scale customer data unification from any sourceCross-channel identity resolutionNative omni-channel messaging (email, SMS, push, in-app, LINE)Real-time AI-driven personalization and decisioningContinuous Customer Intelligence LoopPre-built connectors and integrations with major martech and data platformsSupport for first-party data strategies in a cookieless environment

Use cases

Unified customer profile creation across online and offline data sourcesAI-powered real-time personalization at scaleOmni-channel marketing campaign orchestrationFirst-party data activation for cookieless marketingCustomer journey automation with AI agentsCross-sell and upsell decisioning for retail and CPG brandsLoyalty program data unification and activationMarketing analytics and customer intelligence reporting

Customer segments

Fortune 500 and Global 2000 enterprisesConsumer packaged goods (CPG) brandsAutomotive manufacturersRetail and e-commerce companiesFood and beverage brandsTravel and hospitality companiesFinancial services firmsJapanese and Asia-Pacific enterprises

Tech & specs

Technology stack

Cloud-native architectureAI and machine learning (agentic AI)Apache Hadoop / distributed data processingPresto / SQL query engineReal-time streaming data ingestionREST APIsPre-built connectors for major data sources and martech platforms

Security & compliance

SOC 2GDPRCCPAISO 27001

Deployment

Cloud

API

Yes

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