Audience Identity & Clean Rooms · MarTech Vendor
Treasure AI
Enterprise CDP and agentic marketing automation SaaS platform.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Treasure Data, Inc.
- Entity type
- COMPANY
- Founded
- 2011
- Headquarters
- United States
- Company size
- 501–1,000
- Market cluster / sector
- Audience Identity & Clean Rooms
- Market role
- MarTech Vendor
- Official website
- treasure.ai
What Treasure AI does
The company operates a B2B SaaS model built around a core customer data layer and higher-value activation products. It creates value by ingesting and unifying customer data across channels, turning that data into persistent profiles, and enabling enterprise teams to plan, execute and optimise campaigns from the same platform. This supports both system consolidation and workflow automation for large organisations. Revenue expands through module upsell, broader activation use cases and deeper integration into the client’s marketing and data stack.
Category differentiation
This is an enterprise CDP and marketing orchestration software company, not a consumer app or a foundational LLM provider. It sells software to business teams rather than operating as a media owner or ad network.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Treasure Data, Inc., trading as Treasure AI, is an enterprise software company that sells a cloud-based Customer Data Platform and adjacent AI-enabled marketing orchestration products. Its platform unifies customer data, supports identity resolution and real-time processing, and connects that data to campaign planning, messaging, personalisation and activation workflows. The product suite includes the Agentic Experience Platform, Customer Data Platform, Treasure AI Studio, Treasure Code and packaged AI Suites for specific marketing use cases. The company generates revenue primarily through enterprise SaaS subscription contracts. Its direct customers are enterprise marketing teams, data teams, data engineers and other data-driven organisations that need a unified customer profile and automated cross-channel campaign execution. Commercially, it is moving up the stack from core CDP infrastructure into agentic execution, positioning its software as a control plane for customer intelligence and omnichannel marketing operations.
Company news briefing
Briefing updated:
Following its rebrand from Treasure Data, Treasure AI has advanced its intelligent customer data platform, earning recognition as a Strong Performer in the 2026 Forrester B2C CDP Wave. The company expanded its Agentic Experience Platform with the launch of the Personalization Studio and autonomous Digital Workers at Agentic World 2026, alongside a new engagement-based pricing model for email marketing. Furthermore, enterprise adoption by Nestlé México highlights the platform's capability to unify siloed customer data and execute multi-brand targeting.
Business model & monetisation
The company monetises through enterprise SaaS subscriptions centred on its Customer Data Platform and broader AI marketing platform. Pricing is contract-based and annual, with commercial scope tied to customer data scale, such as profiles and events, rather than pure compute metering. Additional revenue comes from bundled or upsold modules including AI Suites, campaign orchestration, activation capabilities and technical workflow tooling inside enterprise agreements.
- Core CDP subscriptions
- Enterprise SaaS subscription
- Agentic Experience Platform and AI Studio
- Module upsell within enterprise software contracts
- AI Suites and activation packages
- Bundled or add-on software subscription
- Technical tooling and platform extensions
- Included or upsold platform capability
Products & capabilities
No products with linked sources are available in this view.
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Competitors & alternatives
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Customer data and growth automation software for B2C brands.
Customer engagement software for real-time cross-channel personalisation.
Warehouse-native CDP and agentic marketing software for enterprises.
Customer engagement SaaS combining CDP, automation, analytics and loyalty.
Customer-led marketing platform for CRM, orchestration, and personalisation.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Treasure AI Launches Agentic Marketing Products
AI · Recorded impact score: 3/5
At Agentic World 2026 in Miami (Oct 5-7), Treasure AI (formerly Treasure Data) unveiled agentic marketing products, including Digital Workers, governed AI teammates that operate 24/7 within marketing workflows, and Personalization Studio for real-time website personalization. The company also introduced Engagement-Based Pricing for email, shifting from cost-per-send to cost-per-click, and announced AI signals for its Intelligent CDP. Over 500 enterprise marketing leaders attended, with keynotes by CPO Rafa Flores and Daymond John. Treasure AI presented its 2026 Customer Awards, recognized for its Nestlé work, and emphasized AI safety with guardrails and human oversight in AI-driven workflows.
- Treasure AI launched Digital Worker, a governed AI teammate for marketing automation, and Personalization Studio for real-time website personalization.
- Treasure AI introduced Engagement-Based Pricing for email, shifting from cost-per-email to cost-per-click.
Nestlé Mexico Unifies Data with AI Platform
Data & AI · Recorded impact score: 3/5
At Treasure AI's Agentic World event in Miami, executives from Nestlé México discussed how the CPG giant, which reaches 90% of Mexican households and owns over 70 brands, unified its customer data to break down silos. Partnering with Treasure AI, an agentic experience platform, Nestlé México now connects its CRM data and hashed data from Amazon's clean room to identify duplicate customers and understand cross-brand interests. Using engagement signals, the company's La Lechera brand segmented audiences into traditionalists, experts, and explorers, leading to a campaign with nearly double the open rate. By prompting AI agents, Nestlé México can target smaller brands' customers by leveraging data from larger ones like KitKat, enhancing personalization and holistic targeting.
- Nestlé México reaches 90% of households in Mexico and owns over 70 brands.
- Nestlé México partnered with Treasure AI, an agentic experience platform, three years ago.
Treasure AI Launches Personalization Studio, New Pricing Model
Platform · Recorded impact score: 2/5
Treasure AI announced Personalization Studio, a marketer-facing UI for building and managing real-time website personalization campaigns. The tool leverages the company's unified customer data and real-time decisioning, part of its Agentic Experience Platform (AEP). Personalization Studio aims to reduce marketers' dependence on technical teams by enabling campaign setup in about 10 minutes. The announcement was made at the Agentic World 2026 conference. Concurrently, Treasure AI introduced an engagement-based pricing model for email, tying costs to customer actions such as clicks rather than message volume. This move reflects a broader industry trend among martech vendors adapting pricing to AI-driven capabilities. Chief Product Officer Rafa Flores highlighted the bet on click-through rates, underscoring confidence in the platform's intelligence.
- Treasure AI launched Personalization Studio at Agentic World 2026 conference.
- Personalization Studio is part of the Agentic Experience Platform (AEP) and powered by unified customer data and real-time decisioning.
From Anonymous to Actionable: How One Major Retailer Cracked the Customer Identity Challenge
Recorded impact score: 2/5
Treasure AI and LiveRamp collaborated to help a major retailer resolve fragmented, anonymous customer data across stores, apps, and digital channels. By combining Treasure AI's Agentic Experience Platform with LiveRamp's RampID and Acxiom third-party enrichment, the retailer created unified profiles for real-time personalization and cross-channel activation. The integration enabled omnichannel measurement by linking media exposure directly to loyalty signups and in-store transactions via Conversion APIs.
- Treasure AI unified omnichannel data sources including POS transactions, web clickstream, mobile app events, and CRM records.
- LiveRamp provided its pseudonymous identifier RampID and enriched customer profiles with third-party demographic and behavioral data from Acxiom.
Building Marketing Teams with AI Coworkers in 2027
Marketing Technology / AI · Recorded impact score: 2/5
This article discusses the rise of 'virtual teammates' or AI agents in marketing teams, highlighting recent product launches from Optimizely, Treasure AI, HubSpot, and Asana. It emphasizes the need for careful planning around roles, permissions, and governance when integrating these agents. The piece also covers EY's $100 million rewards program for human skills alongside AI, Gartner's predictions on agentic AI project cancellations, and advises on task delegation, management strategies, and the importance of measurement. The author provides a framework for deciding what to delegate to AI, emphasizing that humans must retain strategic accountability. The article concludes with guidance for 2027 planning, suggesting a hybrid approach where humans manage AI agents.
- Optimizely launched Virtual Teammates at Opticon 2026, offering role-specific AI agents like chief of staff, SEO analyst, and marketing analyst.
- Treasure AI released a Marketing Super Agent that orchestrates other agents within a governed workspace.
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Questions about Treasure AI
What is Treasure AI?
Treasure AI is the trading name of Treasure Data, Inc., an enterprise SaaS company focused on customer data unification and AI-enabled marketing orchestration.
Who uses Treasure AI?
Its users are enterprise marketing teams, customer engagement teams, data teams and data engineers at data-driven organisations.
How does Treasure AI make money?
It makes money primarily through enterprise SaaS subscription contracts for its CDP, orchestration and AI activation products.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
19 publicly documented primary sources and citations linked across the market graph.
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