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.

  Treasure AI connects to your warehouse and runs all computation    — Identity Resolution, ML, and AI Decisioning — directly on your    Snowflake, Databricks, or BigQuery compute. Your data never moves    to Treasure AI's infrastructure for processing. Warehouse credits    apply for query execution.

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

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 (< 100ms).

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.

pii-duplication

Enterprise Scale, Security and Governance: Treasure AI's Composable CDP also comes with enterprise security & governance Global 2000 CISO can sign off on. We have clear 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.

 

Supported Platforms

snowflake-logo-color-rgb
integration-tile_databricks
integration-tile_google-big-query
integration-tile_amazon-redshift-1

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. Customer data stays in your warehouse — Treasure AI builds a real-time cache of the customer 360 view for instant activation without duplicating data or rewriting your existing data models.

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.