What Treasure Data does

Treasure Data is a Tokyo-headquartered software company (legal entity Treasure Data, Inc.) that develops and sells a cloud-based Customer Data Platform (CDP) and, since 2025, an AI-enabled "Agentic Experience Platform" marketed under the Treasure AI brand. The platform is built on a three-layer architecture: a Context layer (Intelligent CDP, Composable CDP, Data Connector) for data unification, an Activation layer (five AI Suites covering Engagement, Creative, Personalization, Paid Media, and Service), and an AI layer (Treasure AI Studio, Treasure AI Voice, Treasure AI Code, and an AI Agents Hub with an AI Agent Foundry supporting Anthropic Claude Sonnet 4.6). The product portfolio spans data ingestion, audience segmentation, journey orchestration, generative content, predictive analytics, recommendation, and autonomous AI agents. Roughly 400+ enterprise customers have adopted the platform, including Mitsubishi Electric, Kao Corporation, and OWNDAYS.

Treasure Data operates a B2B enterprise SaaS business model with quote-based annual subscriptions sold through direct field sales and channel partners (notably IBM Japan and Dentsu/Dentsu Soken for implementation). Pricing is not publicly disclosed, tiered by data volume, features, and user count, and supported by free consultations and proof-of-concept engagements that shorten enterprise sales cycles. Go-to-market is anchored in the Japanese domestic market, where the company has held the #1 CDP vendor sales-share position for nine consecutive years (IDC Japan), supplemented by an English-language site and global case-study portal indicating early international expansion. Marketing is multi-channel: content/case studies, industry events, radio/TV appearances, YouTube, and high-visibility sports sponsorship (Maya Yoshida and Japanese soccer). The company is privately held with no disclosed funding rounds, investors, or M&A activity in the source material.

Operationally, Treasure Data runs a focused 51-100-employee organization shipping a monthly platform release cadence (most recent: June 2026) and continuously expanding its integration ecosystem with Snowflake, Databricks, Google, LINE, Yelp Ads, and Selligent. Recent strategic emphasis has shifted decisively toward AI agentic capabilities, leveraging third-party frontier models (Anthropic Claude) to deliver claimed outcomes of up to 50% cost reduction, 3x campaign speed, and 2.5x conversion rate improvement for enterprise customers.

Name

Treasure Data

Legal name

Treasure Data, Inc.

Website

https://treasuredata.co.jp

Company type

Private

Founded year

2011

Operating status

Operating

Headcount range

51–100 employees

Short description

Treasure Data is a Tokyo-based enterprise software company selling the Treasure AI Agentic Experience Platform, which combines a Customer Data Platform with AI Suites and autonomous agents. It serves 400+ large Japanese enterprises including Mitsubishi Electric and Kao via direct sales and channel partners.

Ownership category

akta.pro rank

Product category

Customer Data Platform

NAICS

Software Publishers (513210), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Customer Data Platforms (CDP) & Identity Resolution (BPAFAFAD)

akta.pro secondary industries

Data Management Platforms (DMP) & Customer Data Platforms (CDP) (BPAMALAD), Customer Data Platform (CDP) & First-Party Data Enablement Services (MPAAAIAE)

Keywords

• Customer data platform
• AI data activation
• Enterprise CDP
• Agentic experience platform
• Marketing data integration

Headquarters

HQ city

Uchisaiwaicho

HQ country

Japan

HQ region

Asia

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Enterprise SaaS Subscription: Treasure Data operates as a B2B SaaS company providing enterprise-grade CDP and AI platform subscriptions. Given the enterprise-focused sales motion, pricing is likely tiered based on data volume, features, and user count with annual contract structures.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels7 records

Core offering

Treasure Data sells an enterprise Customer Data Platform (CDP), branded as Treasure AI, that unifies customer data across channels and activates it through AI-powered agents, conversational analytics, and automation suites. The platform is delivered as multi-tenant cloud SaaS, targeting large enterprises that need real-time customer data unification, segmentation, personalization, and AI-driven campaign execution. Pricing is quote-based, structured as annual subscriptions tied to data volume, features, and seats.

Product overview

Treasure Data offers an Agentic Experience Platform combining a Customer Data Platform (CDP) with AI Agent capabilities organized in a three-layer architecture: AI layer (Treasure AI Studio, Voice, Code, and AI Agents Hub), Activation layer (Treasure AI Suite, Engagement AI Suite, Creative AI Suite, Personalization AI Suite, Paid Media AI Suite, Service AI Suite), and Context layer (Intelligent CDP, Composable CDP, Data Connector). The platform enables enterprises to unify customer data and deploy autonomous AI agents for continuous customer acquisition, retention, and growth, with claims of 50% cost reduction, 3x campaign speed improvement, and 2.5x conversion rate improvement. The product portfolio serves industries including automotive, CPG, entertainment, financial services, healthcare, retail, technology, and travel/hospitality sectors.

Differentiator

Problem solved

Functional benefit

Brands

• Treasure AI Studio: AI-powered development environment for building and managing AI agents and workflows.
• Treasure AI Voice
• Treasure AI Code
• Treasure AI Suite
• Intelligent CDP
• Composable CDP

Products and services

• Treasure AI (Agentic Experience Platform) Core enterprise platform combining a Customer Data Platform with AI Agent capabilities, enabling autonomous customer data analysis, strategy execution, and campaign optimization 24/7 through intuitive AI interfaces for large enterprises.
• Treasure AI Studio AI development environment for building, deploying, and managing custom AI agents with access to multiple model providers, web search, image generation, and a plugin marketplace, targeted at enterprise data and AI teams.
• Treasure AI Voice Voice-based AI agent for customer interactions and voice data analysis with summarization capabilities, used by enterprises to handle voice-based customer data.
• Treasure AI Code AI-powered code generation and assistance product for data analysis workflows and platform customization, targeted at technical users extending Treasure AI.
• AI Agents Hub Centralized hub of pre-built AI agents (VOC analysis, product analysis, data analysis, personalization promotion, strategy proposal) that enterprises can deploy on top of their customer data.
• Treasure AI Suite Chat-based interface enabling conversational data analysis, report creation, and campaign execution through AI agents without requiring technical expertise, serving enterprise business users.
• Engagement AI Suite AI-powered customer engagement automation suite for orchestrating multi-channel marketing campaigns and communications across channels.
• Creative AI Suite AI suite for generating personalized marketing creative content, including text, images, and creative assets, used by enterprise marketing teams.
• Personalization AI Suite AI-powered personalization engine delivering individualized customer experiences across all touchpoints using behavioral and profile data.
• Paid Media AI Suite AI suite for optimizing paid advertising campaigns across multiple platforms with automated bid management and audience targeting.
• Service AI Suite AI suite for customer service automation, including support ticket analysis, response generation, and service quality optimization.
• Intelligent CDP AI-enhanced Customer Data Platform with built-in machine learning for unifying, profiling, and activating customer data across all channels and touchpoints for enterprise marketing and analytics teams.
• Composable CDP Modular, composable CDP architecture that lets enterprises deploy only the CDP components they need and integrate with their existing technology stack.
• Data Connector Data integration layer for connecting and synchronizing external data sources, advertising platforms, and marketing tools with the Treasure AI platform.

Quantifiable outcome

• Cost reduction of up to 50%
• +3 more outcomes

Named customers3 records

Segments8 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability16 records

Feature11 records

Partnerships

Six partnerships are on record, tiered core.

• SnowflakecoreTechnology or Integration · 1 June 2026Snowflake connector integration for Treasure AI Studio enables customers to leverage Snowflake data warehouse within the Treasure Data AI workflow. This integration provides bidirectional data flow between Snowflake's data cloud and Treasure Data's CDP platform.
• DatabrickscoreTechnology or Integration · 1 June 2026Databricks connector integration for Treasure AI Studio allows AI workflows to leverage Databricks data processing capabilities. This enables advanced analytics and ML workloads to be incorporated into Treasure Data's customer data workflows.
• GooglecoreTechnology or Integration · 1 June 2026Google login authentication for Treasure AI console. Google Campaign Manager 360 Enhanced Conversions Export connector for advertising data integration. iOS Push delivery support.
• Anthropic (Claude)coreTechnology or Integration · 1 June 2026Claude Sonnet 4.6 support for AI Agent Foundry, enabling customers to build AI agents using Anthropic's Claude language models within the Treasure Data platform.
• IBM JapancoreImplementation/ SI/ Consulting PartnerIBM Japan serves as an implementation partner for Treasure Data CDP deployments. They co-present case studies with Treasure Data customers like Mitsubishi Electric, demonstrating joint value delivery in enterprise B2B sales transformation projects.
• Dentsu (Dentsu Soken)coreImplementation/ SI/ Consulting PartnerDentsu and its data subsidiary Dentsu Soken serve as consulting partners deploying Treasure Data solutions. They co-present customer case studies including Kao Corporation and OWNDAYS, providing implementation and integration services.

Scale indicators2 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Amperity: Amperity is an enterprise CDP that uses AI for identity resolution and customer data unification, competing directly with Treasure Data's Intelligent CDP in retail, CPG, and financial services verticals.
• mParticle: mParticle is a direct CDP competitor focused on mobile-first customer data collection and activation, serving enterprise brands. It competes with Treasure Data on data unification and real-time audience activation capabilities.
• Twilio Segment: Twilio Segment is one of the most established pure-play Customer Data Platforms globally, competing directly with Treasure Data's Intelligent CDP. Both target enterprise customers needing data collection, unification, and activation across channels.
• Tealium: Tealium is a direct CDP competitor offering real-time customer data orchestration and tag management for enterprise customers. It overlaps with Treasure Data's Intelligent CDP and Data Connector offerings in mid-market and enterprise segments.
• ActionIQ: ActionIQ is a composable CDP focused on enterprise customers seeking flexible data activation without requiring data movement. It competes directly with Treasure Data's Composable CDP positioning.

Broad incumbents

• SAP Customer Data Platform: SAP's Customer Data Platform is part of its broader CX suite, competing with Treasure Data among large enterprises already standardized on SAP applications. As a broad incumbent, it offers CDP capabilities alongside commerce and marketing tools.
• Adobe Real-Time CDP: Adobe's Real-Time CDP is part of Adobe Experience Platform, competing against Treasure Data with deeper integration into Adobe's broader marketing and analytics stack. As a larger incumbent, Adobe offers overlapping CDP capabilities but as part of a much wider portfolio.
• Oracle Unity Customer Data Platform: Oracle Unity CDP competes in the enterprise CDP space with strong integration into Oracle's CX and ERP suites. It overlaps with Treasure Data's Intelligent CDP but is sold primarily as part of Oracle's broader application portfolio.
• Salesforce Data Cloud: Salesforce Data Cloud (formerly Salesforce CDP) directly competes with Treasure Data by bundling customer data unification and activation into the broader Salesforce CRM and Marketing Cloud ecosystem, appealing to enterprises standardized on Salesforce.

Emerging players

• Hightouch: Hightouch is a composable customer data platform focused on reverse ETL and data activation directly from warehouses. It represents the emerging composable/CDP-adjacent category that intersects with Treasure Data's Composable CDP offering.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/treasuredatajp
• LinkedInlinkedin.com/company/treasuredata

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Treasure Data