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Brief

Formerly Treasure Data (renamed Apr 2026)

Treasure AI

Treasure AI

Customer Data Platformtreasure.ai

Treasure AI unifies enterprise customer data and deploys AI agents to autonomously build segments, journeys, and campaigns, enabling marketers to achieve dramatically faster time-to-value from their first-party data.

Last updated Oct 6, 2026 by ATDb automated enrichment · Connections updated Oct 12, 2026

Founded
2011
HQ
San Mateo, California, United States
Connections
15

AI-drafted from public sources4 sources cited

At a glance

About

Enterprise-grade agentic experience and customer data platform, strong in Japan and growing globally, positioned as an AI-native CDP within the SoftBank Group portfolio

Treasure AI (formerly Treasure Data) is an agentic experience platform and customer data platform (CDP) owned by SoftBank Group. On April 20, 2026, the company rebranded from Treasure Data to Treasure AI, repositioning its core offering around AI agents that autonomously build audience segments, customer journeys, and marketing campaigns on top of unified first-party customer data. The rebrand reflects a strategic shift from a traditional CDP toward an AI-native platform designed to deliver what the company describes as '10x value to marketers in 10 minutes.' The platform ingests, unifies, and activates customer data at enterprise scale, enabling brands to create a single customer view and then deploy AI agents to automate the most time-intensive marketing workflows. Core capabilities include real-time data ingestion, identity resolution, predictive modeling, journey orchestration, and campaign activation across paid and owned channels. The company serves large enterprises across retail, financial services, automotive, and consumer goods verticals, with a particularly strong footprint in Japan through its SoftBank Group parentage. Treasure AI competes in the enterprise CDP and marketing automation space against players such as Salesforce Data Cloud, Adobe Real-Time CDP, Twilio Segment, and ActionIQ. Its competitive differentiation centers on the depth of its data engineering heritage, its ability to handle massive data volumes, and its new agentic AI layer that reduces the technical burden on marketing teams. As a SoftBank Group company operating as an independent entity within the portfolio, Treasure AI benefits from the conglomerate's capital and ecosystem while maintaining its own go-to-market motion.

Business model

SaaS

Target market

Enterprise

What they offer

  • Agentic Experience Platform

    AI agents that autonomously construct audience segments, customer journeys, and campaigns on unified customer data, the core repositioned offering launched under the Treasure AI brand.

  • Customer Data Platform (CDP)

    Enterprise CDP that ingests, unifies, and activates first-party customer data at scale, providing a single customer view across touchpoints.

  • Identity Resolution

    Cross-device and cross-channel identity stitching to create persistent, unified customer profiles.

  • Audience Segmentation

    AI-assisted and rules-based segment builder enabling marketers to define and activate precise audience cohorts.

  • Journey Orchestration

    Tools to design and automate multi-step customer journeys across owned and paid channels.

  • Predictive Modeling

    Machine learning models for churn prediction, propensity scoring, lifetime value estimation, and next-best-action recommendations.

  • Data Workbench

    SQL and workflow-based data transformation and query environment for data engineers and analysts working within the platform.

Key features

Agentic AI that automates segment, journey, and campaign creationUnified first-party customer data ingestion at enterprise scaleReal-time and batch data processingIdentity resolution across devices and channelsPre-built connectors to major marketing and advertising platformsPredictive analytics and ML model deploymentJourney orchestration and multi-channel activationPrivacy-first data governance and consent management

Use cases

Unified customer profile creation from disparate data sourcesAI-automated audience segmentation for paid media activationPersonalized cross-channel customer journey orchestrationChurn prediction and retention campaign automationFirst-party data strategy and cookieless marketing readinessCustomer lifetime value modeling and high-value audience identificationReal-time personalization on owned digital properties

Customer segments

Enterprise retail and e-commerce brandsFinancial services and insurance companiesAutomotive manufacturers and dealersConsumer packaged goods companiesTelecommunications providersMedia and entertainment companies

Tech & specs

Technology stack

Cloud-native data infrastructureApache Hadoop / distributed data processingMachine learning and AI model servingREST APIs and SDKsSQL-based query engineReal-time streaming data ingestion

Security & compliance

SOC 2GDPRCCPAISO 27001

Deployment

Cloud

API

Yes

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