The Composable CDP That Thinks, Not Just Syncs.

Other Composable CDPs just move your data. Treasure AI thinks with it — and acts on it.

Identity Resolution, ML, and AI run directly in your warehouse with the security and governance Global 2000 companies already trust.

What is a Composable CDP (Customer Data Platform)?

A composable CDP is a warehouse-native approach to customer data — using your existing cloud data warehouse (Snowflake, BigQuery, or Databricks) as the foundation, and layering specialized capabilities on top for identity resolution, segmentation, and activation.

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A composable CDP keeps unified customer profiles where they already live: in your warehouse. No redundant pipelines, no PII duplication across vendor boundaries, and no loss of the governance policies your data team already has in place.

What makes Treasure AI's Composable CDP different from other Composable CDPs

Zero Managed Resources in Your CDW: Here's an architectural difference that matters. Some vendors require a managed data area they own and operate inside your CDW. Treasure AI's Composable CDP runs as a fully independent external application, nothing of ours ever lives inside your warehouse.
Your CDW stays entirely yours.

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Real-Time Intelligence: Most composable CDP vendors handle data syncing. What they don't include is the real-time intelligence layer: Identity Resolution, ML/Analytics, and AI running on top of the warehouse in real-time. Journey Orchestration is supported for both Batch + Real-time, while others support Batch only.

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Native Messaging Support: Treasure AI's Composable CDP comes with Native Messaging (Email. Mobile Push, SMS, etc). While the promise of Composable CDP is to keep the PII in your data warehouse, the hidden reality is it copies PII from data warehouse to various destinations. Since Treasure AI's Composable CDP natively support channels, you do NOT copy the data for activation.

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Enterprise Scale, Security and Governance: Treasure AI's Composable CDP comes with enterprise security & governance Global 2000 CISO can sign off on. We support policy-based permissions, folder-based access, and nested organization structures for brand/geography/agency/team-based governance. Others provide only workspace-level RBAC or custom roles. Enterprise SLA for both services and support so you can rely on us 24/7.

From Raw Data to Real-Time Action: The 5 Stages

Every composable CDP — including Treasure AI — maps to five core stages. Here's how Treasure AI handles each one natively, without requiring separate tooling.

Stage What Happens Treasure AI's Composable CDP Typical
Composable Stack
Collect Ingest events from websites, apps, CRMs, and SaaS tools 300+ pre-built connectors, streaming and batch Fivetran, Airbyte, or custom pipelines
Unify Stitch anonymous and known profiles into a single customer record AI-powered Identity Resolution — queries run in your warehouse, on your compute Separate identity vendor or custom SQL
Understand Surface churn risk, LTV, product affinity via ML Built-in Segmentation UI, ML & Analytics layer Built-in Segmentation UI, Separate ML platform (Databricks, SageMaker)
Decide Select the next best action per customer in real time AI Decisioning — no separate tooling required Manual SQL scoring or separate decisioning tool
Engage Activate across paid media, messaging, and AI agents Native Email, SMS, Push + 200+ destinations Reverse ETL (Hightouch, Census)  → separate ESP (Braze, Iterable)

 

The feedback loop problem — solved

In a typical composable stack, every outcome (an email open, a purchase, a churn signal) has to travel back through reverse ETL, a dbt rebuild, and a model retrain before the system can learn from it. That round-trip takes hours — sometimes days.

Because Treasure AI's Composable CDP runs the full cycle within a single platform boundary, outcomes feed back into AI in real time. Every activation is smarter than the last.

Built on the warehouses you already trust.

Treasure AI partners with Snowflake, Databricks, and Google BigQuery.
Your customer data is already there, so you're ready to go. Connect in minutes. Begin seeing results in hours.

Compoisble Audience StudioArchitecture

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Snowflake

Run audience segmentation as a federated query on your Snowflake compute. Built to deploy as a Snowflake Native App, so installation is governed by your existing Snowflake admin and billing. Joint go-to-market with Snowflake — including a launch at Snowflake Summit 2026.

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Databricks

Activate the customer profiles already modeled in your lakehouse — no movement out, no second copy. Reads your Delta tables and dbt models as they are, so the work your data team has already done is the work Composable Audience Studio uses. Featured at NRF 2026 with Databricks.

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BigQuery

Federated audience segmentation that runs directly on BigQuery's serverless compute — no clusters to size, no infrastructure for your team to manage. Marketers build segments on the customer data your analytics team has curated, without ever leaving Audience Studio.

Built for Enterprise. Proven at Scale.

Treasure AI is trusted by 400+ global brands — including some of the world's largest retailers, telcos, and financial institutions. Here's what that means in practice.

Ready for a CDP that thinks with your data — and acts on it?

FAQs

A composable CDP is a warehouse-native approach to customer data — using your existing cloud data warehouse (Snowflake, BigQuery, or Databricks) as the foundation, and layering identity resolution, segmentation, AI decisioning, and activation on top. Unlike traditional packaged CDPs, customer data stays in your warehouse rather than being copied into a proprietary database.

Yes. Treasure AI's Composable CDP supports zero-copy integration with Snowflake, Databricks, and Google BigQuery. Treasure AI does not persist raw PII or customer data. Treasure AI may maintain ephemeral caches for low latency accesses.

All Identity Resolution, ML, and AI Decisioning queries execute directly on your warehouse compute — Treasure AI never copies data to our infrastructure for processing. Your data stays in your environment. Warehouse credits apply for query execution. During messaging activation only, data passes through Treasure AI transiently for delivery, then is discarded.

Most Composable CDPs — including reverse ETL tools handle data syncing well. What they don't include is the intelligence layer: Identity Resolution, ML/Analytics, and AI Decisioning running inside the warehouse itself. Treasure AI bundles the full stack into one platform, closing the feedback loop in real time rather than after an overnight dbt rebuild. Native messaging (Email, SMS, Push) is also included — no separate ESP required.

Reverse ETL is one component of a composable CDP — it syncs audiences and attributes from your warehouse to downstream tools like ad platforms and ESPs. A composable CDP is the full architecture: data ingestion, identity resolution, ML, decisioning, and activation. Treasure AI goes further by running identity resolution, ML, and AI decisioning inside the warehouse itself, eliminating the need for a separate reverse ETL layer.

Customer data is persisted exclusively in your warehouse — Treasure AI does not store it. For messaging activation (Email, SMS, Push), data passes through Treasure AI transiently for delivery only. SOC 2 Type II certified, HIPAA compliant, GDPR ready. PII exists in one system of record, reducing breach surface and simplifying deletion requests to a single operation.

All computation — Identity Resolution, ML, and AI Decisioning — executes directly on your warehouse compute (Snowflake, Databricks, or BigQuery). Treasure AI sends queries to your warehouse; your data never moves to our infrastructure for processing. Standard warehouse credits apply for query execution.

Composable Audience Studio is Treasure AI's warehouse-native audience segmentation experience. It lets marketers build audiences visually using customer data in Snowflake, Databricks, or BigQuery without writing SQL, opening tickets, or copying raw data into another system.

No. Composable Audience Studio uses a zero-copy architecture. Queries run where the data already lives, and only the audience result returns. Raw customer data stays governed inside your warehouse.

Composable Audience Studio is designed for Snowflake, Databricks, and Google BigQuery. Treasure AI's broader zero-copy capability also covers Amazon Redshift.

Reverse ETL typically moves or syncs data from the warehouse into downstream tools. Composable Audience Studio gives marketers a visual audience-building experience on top of warehouse data while preserving governance, minimizing data movement, and connecting audiences to activation workflows.

Warehouses are powerful systems of record, but they are not built for real-time customer experiences, identity resolution, journey orchestration, or AI agents that act across marketing workflows. Treasure AI turns warehouse data into governed customer experiences that drive business outcomes.

All computation — Identity Resolution, ML, and AI Decisioning — executes directly on your warehouse compute (Snowflake, Databricks, or BigQuery). Treasure AI sends queries to your warehouse; your data never moves to our infrastructure for processing. Standard warehouse credits apply for query execution.